WE'RE ALL ABOUT GIVING BACK— TO OUR MEMBERS, COMMUNITY, AND EMPLOYEES.
Supporting the goals of our employees as well as our neighbors and outreach partners
At GTE Financial , you'll enjoy much more than a career. You'll experience something truly unique: a friendly, committed community of employees who are dedicated to your success—and to the advancement of the businesses, neighbors, friends, and outreach partners that give our work meaning. Established as a not-for-profit cooperative and a federal credit union in 1935, we are one of the region's largest locally owned and operated financial institutions.
We care deeply about your well-being, and that of the people we serve.
You'll see that commitment in:
Exceptional compensation:
Competitive base and incentive pay
Eligibility for annual bonus based on performance
An outstanding benefits package:
Medical
Dental
Vision
Flexible spending account
Additional insurance
Employee assistance program
401 (k) company match at 4%
Corporate wellness programs
Wellness Time Off
Wellness Reimbursement Program
Rewards and recognition efforts:
Service awards for various milestones
Employee recognition program
Work/life balance:
Full and part-time employees accrue PTO each pay period
10 paid holidays annually
1 day of paid Volunteer Time Off to support charities and service organizations
Workplace accolades we have earned:
Tampa Bay Times list of Tampa Bay's Top Workplaces:
An award based on feedback from our employees
The career-development programs we offer:
GTE University featuring internal training programs
Leadership development programs
Generous tuition reimbursement
Our philanthropic efforts throughout the communities we serve:
Corporate charitable efforts
Monthly charities
Holiday charities
GTE Cares Program
GTE Foundation
Community involvement
As you can see, our dedication to people is truly outstanding. Yet we also appreciate the value of state-of-the-art technology, which is why we're ahead of the curve when it comes to implementing such importance convenience features as online banking. For the benefit of our members, we have replaced tellers with automations that save them time, money, and effort.
If you're seeking the ideal spot to build a lasting, satisfying career, start in the one place with the strongest sense of community—in every sense of the word: GTE Financial.
About GTE Financial
Responsible for more than $1.7 billion in assets, GTE Financial is committed to being the preferred employer in Tampa Bay. Founded in 1935 during the Great Depression, GTE Federal Credit Union, now known as GTE Financial, is one of the largest locally owned and operated financial institutions in the area. As a team of more than 500 employees, we are a non-profit financial cooperative. We refer to our customers as member-owners, because each has an ownership stake in our success. At GTE Financial, the money we earn is returned to our shareholders—our members—in the form of higher dividends, lower rates, and new products and services. Established as a cornerstone of the community, we believe in giving back through community outreach, and looking forward with the very latest in technological advancements.
Essential Duties and Responsibilities
Depending upon level, responsibilities may include:
Maintain a detailed working knowledge of the PCI Data Security Standards (DSS), PCI industry guidance, and PCI best practice.
Interpret and convey the appropriate meaning and impact of PCI requirements to include but not limited to transmission, storage of credit card information, and processing credit card data.
Leading and managing PCI preparation, assessment, remediation, and recertification activities performed by external Qualified Security Assessors (QSA).
Manage, track, and report on vulnerability scanning, testing, remediation, and evidence submission as required for PCI compliance.
Collect evidence and facilitate remediation for PCI assessment activities.
Contribute to the support of operations and technology by designing, developing, or recommending secure solutions, including policy, standards, applications, systems, architectures, and infrastructure that are operationally viable and efficient, and that ensure continuous compliance with the PCD DSS.
Serve as a liaison with IT and business area partners to identify, understand, document, and advise on security requirements, impact and risks.
Intermediate knowledge of five or more of the following technical areas: network segmentation, operating system security, encryption and key management, tokenization, anti-virus and malware, secure system development, identity and access management, vulnerability management, physical access controls, penetration testing, file integrity monitoring, logging, and information security program
Other Job Functions:
Perform additional duties as assigned.
Abides by all policies, procedures, and protocols set forth in the departmental, GTE Financial employee, operational and administrative policy manuals.
Note: The above statements describe the general nature and level of the work being performed and are not an exhaustive list of all responsibilities of an employee in this job. Job duties can change at any time as directed by management. Furthermore, they do not establish a contract for employment and are subject to change at the discretion of the employer.
Required Skills
Knowledge, Skills and Abilities Required:
Continuous learning and technical skill upkeep
Ability to express complex technical concepts effectively, both verbally and in writing.
Ability to work well with people from many different disciplines with varying degrees of technical experience
Work independently and as a team member
Set priorities and organize work to meet strict deadlines
Make decisions on a variety of complex matters
Establish and maintain cooperative working relationships with those contacted during the course of work
Environment consists of a variety of duties requiring the use of different standard systems and procedures. Analysis is required in applying guidelines and precedents. Problems can be unique and require the collection and interpretation of information
Ability to adapt to changes in technology.
Work consists of a variety of duties requiring the use of different standard systems and procedures. Analysis is required in applying guidelines and precedents. Problems can be unique and require the collection and interpretation of information.
Ability to solve practical problems and deal with a variety of concrete variables in situations where only limited standardization exists. Ability to interpret a variety of instructions furnished in written, oral, diagram, or schedule form.
Physical Requirements:
Additional hours as necessary to accomplish objectives and goals
Vision (or corrected) to normal range
Required Education and Experience
Bachelor's degree or 5 to 7 years of experience in the field needed
Prior experience supporting a Level 1/2 organization's PCI DSS compliance effort
Industry Certifications (CISSP/PCI QSA or ISA/PCIP/CISM/CRISC) preferred
Qualified candidates click the "Apply Now" button to email your resumes to us directly!
As a proud Equal Opportunity Employer, GTE Financial welcomes and encourages diversity as a vital part of our business strategy .
Jan 30, 2019
Full-time
WE'RE ALL ABOUT GIVING BACK— TO OUR MEMBERS, COMMUNITY, AND EMPLOYEES.
Supporting the goals of our employees as well as our neighbors and outreach partners
At GTE Financial , you'll enjoy much more than a career. You'll experience something truly unique: a friendly, committed community of employees who are dedicated to your success—and to the advancement of the businesses, neighbors, friends, and outreach partners that give our work meaning. Established as a not-for-profit cooperative and a federal credit union in 1935, we are one of the region's largest locally owned and operated financial institutions.
We care deeply about your well-being, and that of the people we serve.
You'll see that commitment in:
Exceptional compensation:
Competitive base and incentive pay
Eligibility for annual bonus based on performance
An outstanding benefits package:
Medical
Dental
Vision
Flexible spending account
Additional insurance
Employee assistance program
401 (k) company match at 4%
Corporate wellness programs
Wellness Time Off
Wellness Reimbursement Program
Rewards and recognition efforts:
Service awards for various milestones
Employee recognition program
Work/life balance:
Full and part-time employees accrue PTO each pay period
10 paid holidays annually
1 day of paid Volunteer Time Off to support charities and service organizations
Workplace accolades we have earned:
Tampa Bay Times list of Tampa Bay's Top Workplaces:
An award based on feedback from our employees
The career-development programs we offer:
GTE University featuring internal training programs
Leadership development programs
Generous tuition reimbursement
Our philanthropic efforts throughout the communities we serve:
Corporate charitable efforts
Monthly charities
Holiday charities
GTE Cares Program
GTE Foundation
Community involvement
As you can see, our dedication to people is truly outstanding. Yet we also appreciate the value of state-of-the-art technology, which is why we're ahead of the curve when it comes to implementing such importance convenience features as online banking. For the benefit of our members, we have replaced tellers with automations that save them time, money, and effort.
If you're seeking the ideal spot to build a lasting, satisfying career, start in the one place with the strongest sense of community—in every sense of the word: GTE Financial.
About GTE Financial
Responsible for more than $1.7 billion in assets, GTE Financial is committed to being the preferred employer in Tampa Bay. Founded in 1935 during the Great Depression, GTE Federal Credit Union, now known as GTE Financial, is one of the largest locally owned and operated financial institutions in the area. As a team of more than 500 employees, we are a non-profit financial cooperative. We refer to our customers as member-owners, because each has an ownership stake in our success. At GTE Financial, the money we earn is returned to our shareholders—our members—in the form of higher dividends, lower rates, and new products and services. Established as a cornerstone of the community, we believe in giving back through community outreach, and looking forward with the very latest in technological advancements.
Essential Duties and Responsibilities
Depending upon level, responsibilities may include:
Maintain a detailed working knowledge of the PCI Data Security Standards (DSS), PCI industry guidance, and PCI best practice.
Interpret and convey the appropriate meaning and impact of PCI requirements to include but not limited to transmission, storage of credit card information, and processing credit card data.
Leading and managing PCI preparation, assessment, remediation, and recertification activities performed by external Qualified Security Assessors (QSA).
Manage, track, and report on vulnerability scanning, testing, remediation, and evidence submission as required for PCI compliance.
Collect evidence and facilitate remediation for PCI assessment activities.
Contribute to the support of operations and technology by designing, developing, or recommending secure solutions, including policy, standards, applications, systems, architectures, and infrastructure that are operationally viable and efficient, and that ensure continuous compliance with the PCD DSS.
Serve as a liaison with IT and business area partners to identify, understand, document, and advise on security requirements, impact and risks.
Intermediate knowledge of five or more of the following technical areas: network segmentation, operating system security, encryption and key management, tokenization, anti-virus and malware, secure system development, identity and access management, vulnerability management, physical access controls, penetration testing, file integrity monitoring, logging, and information security program
Other Job Functions:
Perform additional duties as assigned.
Abides by all policies, procedures, and protocols set forth in the departmental, GTE Financial employee, operational and administrative policy manuals.
Note: The above statements describe the general nature and level of the work being performed and are not an exhaustive list of all responsibilities of an employee in this job. Job duties can change at any time as directed by management. Furthermore, they do not establish a contract for employment and are subject to change at the discretion of the employer.
Required Skills
Knowledge, Skills and Abilities Required:
Continuous learning and technical skill upkeep
Ability to express complex technical concepts effectively, both verbally and in writing.
Ability to work well with people from many different disciplines with varying degrees of technical experience
Work independently and as a team member
Set priorities and organize work to meet strict deadlines
Make decisions on a variety of complex matters
Establish and maintain cooperative working relationships with those contacted during the course of work
Environment consists of a variety of duties requiring the use of different standard systems and procedures. Analysis is required in applying guidelines and precedents. Problems can be unique and require the collection and interpretation of information
Ability to adapt to changes in technology.
Work consists of a variety of duties requiring the use of different standard systems and procedures. Analysis is required in applying guidelines and precedents. Problems can be unique and require the collection and interpretation of information.
Ability to solve practical problems and deal with a variety of concrete variables in situations where only limited standardization exists. Ability to interpret a variety of instructions furnished in written, oral, diagram, or schedule form.
Physical Requirements:
Additional hours as necessary to accomplish objectives and goals
Vision (or corrected) to normal range
Required Education and Experience
Bachelor's degree or 5 to 7 years of experience in the field needed
Prior experience supporting a Level 1/2 organization's PCI DSS compliance effort
Industry Certifications (CISSP/PCI QSA or ISA/PCIP/CISM/CRISC) preferred
Qualified candidates click the "Apply Now" button to email your resumes to us directly!
As a proud Equal Opportunity Employer, GTE Financial welcomes and encourages diversity as a vital part of our business strategy .
We are looking for a creative and endlessly inquisitive Data Scientist to join our team. You will be working hand-in-hand with our Director of Analytics to develop highly optimized predictive models from a large volume of regularly updated data and to design experiments to test the effectiveness of various campaign tactics. In addition, you will be a key resource for building out custom analytics to help analyze our partners’ work in the political and advocacy spheres. You will be working in a small but dedicated, detail-oriented team that is committed to our mission. The Murmuration work environment is friendly, driven, and non-corporate but professional.
The Data Scientist will:
Create predictive analytics using the latest machine learning algorithms on relatively “big” data (hundreds of features on > 100 million records)
Provide analytic insights for partners throughout the lifecycle of their campaign(s); build, review, and recommend custom models; provide real-time visualizations and analysis of campaign work; and produce post-campaign analytics to help our partners constantly learn from their efforts
Design and implement large-scale randomized controlled trials to gauge the general effectiveness of advocacy and campaign efforts
Produce post-mortem analytics on the advocacy and campaign work being performed in our platform to help our partners constantly learn from their efforts
Conduct various analyses to infer causality from large sets of behavioral data.
Work closely with the data engineering team to analyze and augment our data
Work closely with our business analysts to draft clear and informative data visualizations
Work with our staff and partners to develop practical ways to apply our leading analytics to the real world
Help optimize our analytic work to perform well on large datasets stored in Amazon Web Services (AWS)
Never stop asking questions and always be hunting for the next impactful insight
Candidate Profile
Murmuration attracts employees with distinctive and diverse backgrounds and accomplishments. Integrity, creativity, flexibility, and drive are key attributes of competitive candidates. The Data and Analytics teams are highly collaborative, friendly and hard-working, and we are looking for a Data Scientist who embodies those values.
The ideal candidate will have:
PhD in political science, sociology, mathematics, statistics or other related field or 4-5 years of experience performing data analysis work as described below
Excellent general data science skills (data cleaning, munging, data visualization)
Excellent Python or R skills
Experience building machine learning models on large datasets
Experience identifying appropriate statistical techniques and applying them to a variety of real-world datasets
Strong problem-solving skills as well as the ability to manage several tasks/projects concurrently and prioritize work effectively
Experience with databases and knowledge of SQL preferred
Experience with Amazon Web Services, in particular applying analytics in that setting (desired not required)
Interest in politics and/or educational policy Location
This position will be based in New York, NY, and requires occasional travel.
Compensation
The Data Scientist position is a full-time, salaried position with a comprehensive benefits package. Compensation for this position is commensurate with experience.
How to Apply
If you are interested in this opportunity, please submit your resume and cover letter here. An Equal-Opportunity Employer with a Commitment to Diversity, Murmuration is proud to be an equal opportunity employer, and as an organization committed to diversity and the perspective of all voices, we consider applicants equally of race, gender, color, sexual orientation, religion, marital status, disability, political affiliation and national origin. We reasonably accommodate staff members and/or applicants with disabilities, provided they are otherwise able to perform the essential functions of the job.
Jan 25, 2019
Full-time
We are looking for a creative and endlessly inquisitive Data Scientist to join our team. You will be working hand-in-hand with our Director of Analytics to develop highly optimized predictive models from a large volume of regularly updated data and to design experiments to test the effectiveness of various campaign tactics. In addition, you will be a key resource for building out custom analytics to help analyze our partners’ work in the political and advocacy spheres. You will be working in a small but dedicated, detail-oriented team that is committed to our mission. The Murmuration work environment is friendly, driven, and non-corporate but professional.
The Data Scientist will:
Create predictive analytics using the latest machine learning algorithms on relatively “big” data (hundreds of features on > 100 million records)
Provide analytic insights for partners throughout the lifecycle of their campaign(s); build, review, and recommend custom models; provide real-time visualizations and analysis of campaign work; and produce post-campaign analytics to help our partners constantly learn from their efforts
Design and implement large-scale randomized controlled trials to gauge the general effectiveness of advocacy and campaign efforts
Produce post-mortem analytics on the advocacy and campaign work being performed in our platform to help our partners constantly learn from their efforts
Conduct various analyses to infer causality from large sets of behavioral data.
Work closely with the data engineering team to analyze and augment our data
Work closely with our business analysts to draft clear and informative data visualizations
Work with our staff and partners to develop practical ways to apply our leading analytics to the real world
Help optimize our analytic work to perform well on large datasets stored in Amazon Web Services (AWS)
Never stop asking questions and always be hunting for the next impactful insight
Candidate Profile
Murmuration attracts employees with distinctive and diverse backgrounds and accomplishments. Integrity, creativity, flexibility, and drive are key attributes of competitive candidates. The Data and Analytics teams are highly collaborative, friendly and hard-working, and we are looking for a Data Scientist who embodies those values.
The ideal candidate will have:
PhD in political science, sociology, mathematics, statistics or other related field or 4-5 years of experience performing data analysis work as described below
Excellent general data science skills (data cleaning, munging, data visualization)
Excellent Python or R skills
Experience building machine learning models on large datasets
Experience identifying appropriate statistical techniques and applying them to a variety of real-world datasets
Strong problem-solving skills as well as the ability to manage several tasks/projects concurrently and prioritize work effectively
Experience with databases and knowledge of SQL preferred
Experience with Amazon Web Services, in particular applying analytics in that setting (desired not required)
Interest in politics and/or educational policy Location
This position will be based in New York, NY, and requires occasional travel.
Compensation
The Data Scientist position is a full-time, salaried position with a comprehensive benefits package. Compensation for this position is commensurate with experience.
How to Apply
If you are interested in this opportunity, please submit your resume and cover letter here. An Equal-Opportunity Employer with a Commitment to Diversity, Murmuration is proud to be an equal opportunity employer, and as an organization committed to diversity and the perspective of all voices, we consider applicants equally of race, gender, color, sexual orientation, religion, marital status, disability, political affiliation and national origin. We reasonably accommodate staff members and/or applicants with disabilities, provided they are otherwise able to perform the essential functions of the job.
Transport Optimization is part of the Travel Alliances business unit within Disneyland Paris whose mission is to facilitate accessibility to the Disneyland Paris destination of all European countries. Within Transport Optimization, 7 Cast Members are in charge of the sales and marketing areas for the Transport offer related to stays.
Our missions are broad and include both the definition of the price strategy, the optimization of income, the management of yield management for the train or the development of the reporting tools but also the strategy of communication, marketing, promotion and development of consumer studies... all with one purpose: to better meet the expectations of our customers, who are at the heart of each of our reflections
Responsibilities
Regularly analyze sales rhythms and typologies, seasonality, the competitive environment and communicate these analyzes to business stakeholders
Alert and propose pricing / promotional actions in case of unusual behavior
Study the impact of sales prices on transport margins and, on this basis, define the seasonal pricing (including updating the price schedules) of the transport offer in order to maximize or / and optimize revenue
As a consequence of the previous point, define and set up the configuration of dynamic pricing tools
In collaboration with the IT and project teams, study the possibilities of improving the transport sales systems (incl. Pricing, reporting, configuration)
Establish recommendations on special transport offers and develop feasibility studies & calculations necessary for the decision
Evaluate and quantify seasonal pricing results as well as promotional actions in order to guide future decisions
Build the business case, make recommendations to optimize the transport offer, in close collaboration with the operational teams, the Pricing teams, the Sales, Marketing and Finance Departments.
Keep updated reports implemented and develop other reporting tools needed to monitor the activity
Your profile?
Ideally graduated with a Bac +5 in Finance, Audit, Management Control, or mathematical / statistical specialty (School of Commerce, Engineering or University), you have a significant experience of 3 years minimum in the Control of Management, Revenue Management or Strategy-centric analytical, if possible in the field of tourism.
You like numbers and databases, you are rigorous, have an analytical approach, a spirit of initiative and you are strong proposal.
You know how to make clear and succinct recommendations, and know how to present them to the management
A current level of English and an advanced mastery of the Office Pack are required on this post.
A knowledge of Business Object would be appreciated.
Feb 12, 2019
Full-time
Transport Optimization is part of the Travel Alliances business unit within Disneyland Paris whose mission is to facilitate accessibility to the Disneyland Paris destination of all European countries. Within Transport Optimization, 7 Cast Members are in charge of the sales and marketing areas for the Transport offer related to stays.
Our missions are broad and include both the definition of the price strategy, the optimization of income, the management of yield management for the train or the development of the reporting tools but also the strategy of communication, marketing, promotion and development of consumer studies... all with one purpose: to better meet the expectations of our customers, who are at the heart of each of our reflections
Responsibilities
Regularly analyze sales rhythms and typologies, seasonality, the competitive environment and communicate these analyzes to business stakeholders
Alert and propose pricing / promotional actions in case of unusual behavior
Study the impact of sales prices on transport margins and, on this basis, define the seasonal pricing (including updating the price schedules) of the transport offer in order to maximize or / and optimize revenue
As a consequence of the previous point, define and set up the configuration of dynamic pricing tools
In collaboration with the IT and project teams, study the possibilities of improving the transport sales systems (incl. Pricing, reporting, configuration)
Establish recommendations on special transport offers and develop feasibility studies & calculations necessary for the decision
Evaluate and quantify seasonal pricing results as well as promotional actions in order to guide future decisions
Build the business case, make recommendations to optimize the transport offer, in close collaboration with the operational teams, the Pricing teams, the Sales, Marketing and Finance Departments.
Keep updated reports implemented and develop other reporting tools needed to monitor the activity
Your profile?
Ideally graduated with a Bac +5 in Finance, Audit, Management Control, or mathematical / statistical specialty (School of Commerce, Engineering or University), you have a significant experience of 3 years minimum in the Control of Management, Revenue Management or Strategy-centric analytical, if possible in the field of tourism.
You like numbers and databases, you are rigorous, have an analytical approach, a spirit of initiative and you are strong proposal.
You know how to make clear and succinct recommendations, and know how to present them to the management
A current level of English and an advanced mastery of the Office Pack are required on this post.
A knowledge of Business Object would be appreciated.
The Disney Decision Science & Integration (DDSI) team provides internal consulting services for clients across The Walt Disney Company including Media Networks (e.g. ABC, ESPN), Studio Entertainment (e.g. The Walt Disney Studios, Disney Theatrical Group), Direct-to-Consumer & International, and Parks, Experiences and Consumer Products. The DDSI team sits at the intersection of business strategy, advanced analytics, and technology integration to help our partners explore opportunities for analytics, shape business decisions and drive value. Our work includes conceptualizing new solutions, solution design and development, implementation (and integration with business processes), and ongoing business support. DDSI seeks forward-thinking team members who are passionate about learning our client businesses, forming relationships with business leaders, and driving value through the tactical and strategic use of data and analytics. The work requires a combination of analytical mindset with hands-on experience in data and programming, and a natural gift for communicating and presenting complex analytical findings. Strong candidates are those with the right balance of technical and business skills that are critical for successful execution of analytics to drive business values.
Responsibilities
Partner with other business units and develop expertise in their field;
Learn about existing processes and tools and identify opportunities for improvement using analytics;
Develop research questions and hypotheses, and propose feasible research designs to address the questions;
Collect, process, and analyze large data sets;
Build appropriate analytical models independently or collaboratively with our science partners;
Develop insights and interpret results;
Develop audience-specific communication strategy to share insights with and collect feedback from partners and clients at different organizational levels;
Act as a liaison to coordinate with internal and external teams with different skill sets and perspectives.
Basic Qualifications
2+ years of experience in analytics or consulting role;
Proficiency in acquiring, organizing, cleansing, manipulating, and mining large amounts of data;
Demonstrated capabilities in performing exploratory and quantitative analytics;
Strong written, oral communication, presentation, and interpersonal skills;
Ability to work both independently and as part of a collaborative team;
Ability to manage multiple priorities and adapt to rapidly changing business environment;
Good balance of technical expertise and business acumen;
Strong work ethics with great attention to detail and quest for quality;
3+ years experience and proficiency in Python, SQL, SAS (or similar programming languages);
Proficiency in Excel, PowerPoint, and Tableau.
Preferred Qualifications
Experience with the media industry, especially television, SVOD, and film;
Experience with marketing, sales, pricing, or revenue management;
Experience with internal or external consulting;
Proven solid experience in developing and applying analytics solutions to drive business values.
Required Education
Bachelor’s degree in a quantitative field (e.g. Statistics, Applied Mathematics, Operations Research, Industrial Engineering, Econometrics, Data Science) OR in Business Analytics with a strong quantitative background
Preferred Education
Master’s or Ph.D. degree in a quantitative field or in Business Analytics with a strong quantitative background
Feb 05, 2019
Full-time
The Disney Decision Science & Integration (DDSI) team provides internal consulting services for clients across The Walt Disney Company including Media Networks (e.g. ABC, ESPN), Studio Entertainment (e.g. The Walt Disney Studios, Disney Theatrical Group), Direct-to-Consumer & International, and Parks, Experiences and Consumer Products. The DDSI team sits at the intersection of business strategy, advanced analytics, and technology integration to help our partners explore opportunities for analytics, shape business decisions and drive value. Our work includes conceptualizing new solutions, solution design and development, implementation (and integration with business processes), and ongoing business support. DDSI seeks forward-thinking team members who are passionate about learning our client businesses, forming relationships with business leaders, and driving value through the tactical and strategic use of data and analytics. The work requires a combination of analytical mindset with hands-on experience in data and programming, and a natural gift for communicating and presenting complex analytical findings. Strong candidates are those with the right balance of technical and business skills that are critical for successful execution of analytics to drive business values.
Responsibilities
Partner with other business units and develop expertise in their field;
Learn about existing processes and tools and identify opportunities for improvement using analytics;
Develop research questions and hypotheses, and propose feasible research designs to address the questions;
Collect, process, and analyze large data sets;
Build appropriate analytical models independently or collaboratively with our science partners;
Develop insights and interpret results;
Develop audience-specific communication strategy to share insights with and collect feedback from partners and clients at different organizational levels;
Act as a liaison to coordinate with internal and external teams with different skill sets and perspectives.
Basic Qualifications
2+ years of experience in analytics or consulting role;
Proficiency in acquiring, organizing, cleansing, manipulating, and mining large amounts of data;
Demonstrated capabilities in performing exploratory and quantitative analytics;
Strong written, oral communication, presentation, and interpersonal skills;
Ability to work both independently and as part of a collaborative team;
Ability to manage multiple priorities and adapt to rapidly changing business environment;
Good balance of technical expertise and business acumen;
Strong work ethics with great attention to detail and quest for quality;
3+ years experience and proficiency in Python, SQL, SAS (or similar programming languages);
Proficiency in Excel, PowerPoint, and Tableau.
Preferred Qualifications
Experience with the media industry, especially television, SVOD, and film;
Experience with marketing, sales, pricing, or revenue management;
Experience with internal or external consulting;
Proven solid experience in developing and applying analytics solutions to drive business values.
Required Education
Bachelor’s degree in a quantitative field (e.g. Statistics, Applied Mathematics, Operations Research, Industrial Engineering, Econometrics, Data Science) OR in Business Analytics with a strong quantitative background
Preferred Education
Master’s or Ph.D. degree in a quantitative field or in Business Analytics with a strong quantitative background
***This position can be based out of one of three corporate office locations: McLean, VA or Memphis, TN or Dallas, TX***
From smartphone capabilities like Digital Key to connected rooms that allow for integrated entertainment, temperature, and lighting controls, Hilton's Global Technology team is responsible for creating the hospitality experience of the future – for our guests, owners, and Team Members. Through innovative technology development and deployment, this team ensures Hilton has the technology needed to support our continued global growth while remaining at the forefront of hospitality technology innovation.
What will I be doing?
Commercial technology solutions (a.k.a. Commercial Off-The-Shelf – COTS) from third-party vendors support numerous corporate, call center, and hotel technology functions. As the Lead Security Analyst – Commercial Solutions, you will be a technical contributor on Hilton's Information Security, responsible for integrating sound cyber security processes and controls for COTS solutions that handle sensitive data, may impact guest/employee life and safety, and deliver positive guest stay experiences. You will be dedicated and committed to supporting the development, maintenance, and management of processes that provide for initial and ongoing secure implementation of commercial solutions. This includes consistent and repeatable solution security controls.
More specifically, you will:
Perform timely reviews and assessments of the commercial solution architecture and support service delivery processes that help ensure cyber risks are not introduced due to limitations in technology management, maintenance, and support processes.
Integrate commercial solutions into the enterprise technology management and security process (e.g., threat management, logging, patch delivery).
Execute the annual Payment Card Industry (PCI) commercial solutions assessments, as well as other compliance driven requirements (e.g., privacy impact analyses).
This is a new position at Hilton and will report to a new technical leader that will craft the future approach and direction for the role.
What are we looking for?
The success in this role will demonstrate itself through the following attributes and skills:
Experience developing an understanding of how a solution functions through the review of user documentation and inquiries with the vendor
Applied knowledge of base cyber security practices at all layers of the technology stack in the design and/or assessment of commercial solutions:
Network Layer: un-trusted network access controls, application firewall rules and vendor remote access
Platform: AD, Domain Join, service accounts, COTS solution, platform agent interoperability and patching
Devices/IoT: communication requirements and centralized device management
Data and Database: Data types stored, processed, transmitted, database accounts and access controls, and secure database connections
Application: Application access, role based access to admin and business transactions/functions
Experience overseeing multi-functional technology groups comprised of positive partnerships such as solution sponsors, engineers, and support to promote commercial solutions architecture and management practices
Prior experience in managing or implementing a commercial solution is desirable
To fulfill this role successfully, you must possess the following minimum qualifications and experience:
High School Diploma/GED
Three (3) years of related experience
Travel up to 30% of the time
It would be advantageous in this position for you to demonstrate the following capabilities and distinctions:
Five (5) years of related experience
Certification in CISSP
What will it be like to work for Hilton?
Hilton is the leading global hospitality company, spanning the lodging sector from luxurious full-service hotels and resorts to extended-stay suites and mid-priced hotels. For nearly a century, Hilton has offered business and leisure travelers the finest in accommodations, service, amenities and value. Hilton is dedicated to continuing its tradition of providing exceptional guest experiences across its global brands. Our vision to fill the earth with the light and warmth of hospitality unites us as a team to create remarkable hospitality experiences around the world every day. And, our amazing Team Members are at the heart of it all!
EOE/AA/Disabled/Veterans
Feb 01, 2019
Full-time
***This position can be based out of one of three corporate office locations: McLean, VA or Memphis, TN or Dallas, TX***
From smartphone capabilities like Digital Key to connected rooms that allow for integrated entertainment, temperature, and lighting controls, Hilton's Global Technology team is responsible for creating the hospitality experience of the future – for our guests, owners, and Team Members. Through innovative technology development and deployment, this team ensures Hilton has the technology needed to support our continued global growth while remaining at the forefront of hospitality technology innovation.
What will I be doing?
Commercial technology solutions (a.k.a. Commercial Off-The-Shelf – COTS) from third-party vendors support numerous corporate, call center, and hotel technology functions. As the Lead Security Analyst – Commercial Solutions, you will be a technical contributor on Hilton's Information Security, responsible for integrating sound cyber security processes and controls for COTS solutions that handle sensitive data, may impact guest/employee life and safety, and deliver positive guest stay experiences. You will be dedicated and committed to supporting the development, maintenance, and management of processes that provide for initial and ongoing secure implementation of commercial solutions. This includes consistent and repeatable solution security controls.
More specifically, you will:
Perform timely reviews and assessments of the commercial solution architecture and support service delivery processes that help ensure cyber risks are not introduced due to limitations in technology management, maintenance, and support processes.
Integrate commercial solutions into the enterprise technology management and security process (e.g., threat management, logging, patch delivery).
Execute the annual Payment Card Industry (PCI) commercial solutions assessments, as well as other compliance driven requirements (e.g., privacy impact analyses).
This is a new position at Hilton and will report to a new technical leader that will craft the future approach and direction for the role.
What are we looking for?
The success in this role will demonstrate itself through the following attributes and skills:
Experience developing an understanding of how a solution functions through the review of user documentation and inquiries with the vendor
Applied knowledge of base cyber security practices at all layers of the technology stack in the design and/or assessment of commercial solutions:
Network Layer: un-trusted network access controls, application firewall rules and vendor remote access
Platform: AD, Domain Join, service accounts, COTS solution, platform agent interoperability and patching
Devices/IoT: communication requirements and centralized device management
Data and Database: Data types stored, processed, transmitted, database accounts and access controls, and secure database connections
Application: Application access, role based access to admin and business transactions/functions
Experience overseeing multi-functional technology groups comprised of positive partnerships such as solution sponsors, engineers, and support to promote commercial solutions architecture and management practices
Prior experience in managing or implementing a commercial solution is desirable
To fulfill this role successfully, you must possess the following minimum qualifications and experience:
High School Diploma/GED
Three (3) years of related experience
Travel up to 30% of the time
It would be advantageous in this position for you to demonstrate the following capabilities and distinctions:
Five (5) years of related experience
Certification in CISSP
What will it be like to work for Hilton?
Hilton is the leading global hospitality company, spanning the lodging sector from luxurious full-service hotels and resorts to extended-stay suites and mid-priced hotels. For nearly a century, Hilton has offered business and leisure travelers the finest in accommodations, service, amenities and value. Hilton is dedicated to continuing its tradition of providing exceptional guest experiences across its global brands. Our vision to fill the earth with the light and warmth of hospitality unites us as a team to create remarkable hospitality experiences around the world every day. And, our amazing Team Members are at the heart of it all!
EOE/AA/Disabled/Veterans
***This position can be located at our corporate office in Dallas, TX or McLean, VA***
Hilton is creating a best-in-class Data and Analytics department that will lead a connected ecosystem of data, technology, tools, techniques, people and processes. This innovative data and analytics function will drive advanced analytics and actionable insights to help drive Hilton's performance.
What will I be doing?
As a Manager, Data Scientist of Personalization you will serve as an internal advanced analytics consultant to key functions across Hilton's business, bringing predictive and prescriptive analytics through Machine Learning / Artificial Intelligence. The team consists of data scientists, advanced analytics modelers, and data engineers, working closely with other Data Analytics teams, as well as Product Team partners.
Working with the Senior Director, Data Science, you will be directly influencing the creation and delivery of products and services that help Hilton's mission to create heartfelt experiences for our customers. As an ambassador, you will bring big data values to fruition. Serving as the primary resource for building advanced analytics models for Hilton's personalization initiatives, including but not limited to propensity modeling, user experience, the next best action, search optimization, direct marketing, and (internet of Things) IoT (connected room) personalization initiatives.
More specifically, you will:
Research and build statistical learning models and algorithms, develop a testing framework and conduct experiments.
Conduct analysis and highlight significant patterns to increase customer and owner satisfaction.
Actively draw insights from data to create new sources of value.
Communicate results and ideas to business and technical teams.
Build relationships and collaborate with Enterprise Architects to setup automated, streamlined and responsive data processing.
Partner collaboratively with the Data Governance team to ingest new data sets into the Hilton data lake.
Partner with the Product Teams to understand needs and incorporate findings.
What are we looking for?
We are looking for problem solvers who are passionate about data and who love to have the chance to create improvements to data management. We believe success in this role will demonstrate itself through the following attributes and skills:
Exceptional problem solving, analytical, quantitative, and statistical skills.
Experience in handling multiple contending priorities simultaneously.
Self-starter, well organized, and an assertive teammate willing to take ownership of responsibilities with a high level of positive energy and drive.
To fulfill this role successfully, you must possess the following minimum qualifications and experience:
BA/BS Bachelor's Degree
Three (3) years of professional experience
Two (2) years of hands-on experience in statistical modeling, machine learning, artificial intelligence, and/or search optimization
Two (2) years of hands-on experience in significant customer personalization initiatives for scalable production environments
Solid programming skills: SQL, R, Python, Spark/Scala, Java, C/C++
It would be advantageous in this position for you to demonstrate the following capabilities and distinctions:
MA/MS Master's Degree
Four (4) years of professional experience
Experience in IoT analytics model development involving sensors and connected devices
Experience in model development involving distributed big data sets (Spark, Scala, Hadoop)
Experience in ETL management, SQL/NoSQL platforms, Apache products (NiFi, KafKa) and data warehousing technologies (Snowflake, Redshift)
What will it be like to work for Hilton?
Hilton is the leading global hospitality company, spanning the lodging sector from luxurious full-service hotels and resorts to extended-stay suites and mid-priced hotels. For nearly a century, Hilton has offered business and leisure travelers the finest in accommodations, service, amenities and value. Hilton is dedicated to continuing its tradition of providing exceptional guest experiences across its global brands. Our vision to fill the earth with the light and warmth of hospitality unites us as a team to create remarkable hospitality experiences around the world every day. And, our amazing Team Members are at the heart of it all!
EOE/AA/Disabled/Veterans
Feb 01, 2019
Full-time
***This position can be located at our corporate office in Dallas, TX or McLean, VA***
Hilton is creating a best-in-class Data and Analytics department that will lead a connected ecosystem of data, technology, tools, techniques, people and processes. This innovative data and analytics function will drive advanced analytics and actionable insights to help drive Hilton's performance.
What will I be doing?
As a Manager, Data Scientist of Personalization you will serve as an internal advanced analytics consultant to key functions across Hilton's business, bringing predictive and prescriptive analytics through Machine Learning / Artificial Intelligence. The team consists of data scientists, advanced analytics modelers, and data engineers, working closely with other Data Analytics teams, as well as Product Team partners.
Working with the Senior Director, Data Science, you will be directly influencing the creation and delivery of products and services that help Hilton's mission to create heartfelt experiences for our customers. As an ambassador, you will bring big data values to fruition. Serving as the primary resource for building advanced analytics models for Hilton's personalization initiatives, including but not limited to propensity modeling, user experience, the next best action, search optimization, direct marketing, and (internet of Things) IoT (connected room) personalization initiatives.
More specifically, you will:
Research and build statistical learning models and algorithms, develop a testing framework and conduct experiments.
Conduct analysis and highlight significant patterns to increase customer and owner satisfaction.
Actively draw insights from data to create new sources of value.
Communicate results and ideas to business and technical teams.
Build relationships and collaborate with Enterprise Architects to setup automated, streamlined and responsive data processing.
Partner collaboratively with the Data Governance team to ingest new data sets into the Hilton data lake.
Partner with the Product Teams to understand needs and incorporate findings.
What are we looking for?
We are looking for problem solvers who are passionate about data and who love to have the chance to create improvements to data management. We believe success in this role will demonstrate itself through the following attributes and skills:
Exceptional problem solving, analytical, quantitative, and statistical skills.
Experience in handling multiple contending priorities simultaneously.
Self-starter, well organized, and an assertive teammate willing to take ownership of responsibilities with a high level of positive energy and drive.
To fulfill this role successfully, you must possess the following minimum qualifications and experience:
BA/BS Bachelor's Degree
Three (3) years of professional experience
Two (2) years of hands-on experience in statistical modeling, machine learning, artificial intelligence, and/or search optimization
Two (2) years of hands-on experience in significant customer personalization initiatives for scalable production environments
Solid programming skills: SQL, R, Python, Spark/Scala, Java, C/C++
It would be advantageous in this position for you to demonstrate the following capabilities and distinctions:
MA/MS Master's Degree
Four (4) years of professional experience
Experience in IoT analytics model development involving sensors and connected devices
Experience in model development involving distributed big data sets (Spark, Scala, Hadoop)
Experience in ETL management, SQL/NoSQL platforms, Apache products (NiFi, KafKa) and data warehousing technologies (Snowflake, Redshift)
What will it be like to work for Hilton?
Hilton is the leading global hospitality company, spanning the lodging sector from luxurious full-service hotels and resorts to extended-stay suites and mid-priced hotels. For nearly a century, Hilton has offered business and leisure travelers the finest in accommodations, service, amenities and value. Hilton is dedicated to continuing its tradition of providing exceptional guest experiences across its global brands. Our vision to fill the earth with the light and warmth of hospitality unites us as a team to create remarkable hospitality experiences around the world every day. And, our amazing Team Members are at the heart of it all!
EOE/AA/Disabled/Veterans
Leads the identification of optimal research and analysis methodologies to be used to provide key findings that will address a broad range of complex business questions. Supports advanced analytics/data modeling. Provides technical leadership to data scientists and business stakeholders to define data requirements, perform gap analysis, source and transform data to support exploratory data analysis, and design models.
Primary Responsibilities:
Leads multiple, high impact data research/analytics projects and programs.
Collaborates with and provides consulting to business partners to understand strategic requirements and corresponding needs for insight/information, and recommends optimal research and analytical approaches.
Delivers key findings for multiple projects/programs to business leader's and assists with decision making and prioritization of initiatives.
Serves as Subject Matter Expert for implementation of new approaches and identification of optimal blend of research/analytic techniques.
Provides end-to-end solutions that can tum complex and large volumes of data into 'intelligent data' that can answer critical business questions.
Provides leadership in the development of test strategy and measurement plans.
Plans, implements, and tracks long-term and short-term data projects.
Partners with technology teams to operationalize findings from exploratory data sourcing sprints.
Education and Experience:
Bachelor's degree (or foreign education equivalent) in Computer Science, Engineering, Business Administration, Marketing, Mathematics, Statistics, or a closely related field and six (6) years of experience in the job offered or six (6) years of experience in ad hoc data mining and predictive modeling to support investment management distribution strategy for CRM.
Or, alternatively, a Master's degree (or foreign education equivalent) in Computer Science, Engineering, Business Administration, Marketing, Mathematics, Statistics, or a closely related field and four (4) years of experience in the job offered or four ( 4) years of experience in ad hoc data mining and predictive modeling to support investment management distribution strategy for CRM.
Skills and Knowledge:
Candidate must also possess:
Demonstrated Expertise ("DE") extracting large datasets for predictive modeling and time series analysis using SPSS for financial distribution center and financial products in Oracle-based Star and Relational databases.
DE analyzing data from Oracle-based Star and Relational database CRM systems to identify sales opportunities in financial distribution and financial products, and to measure the results of client interactions in these opportunities with field and phone wholesalers and marketing initiatives.
DE developing client segmentation analysis to support multi-channel financial distribution and financial products sales and marketing efforts, including segmenting clients based on different financial products related to channel sales strategy and developing linear and logistic regression models for customer segmentation.
DE analyzing and presenting results of financial products sales and marketing to senior executives and making recommendation to marketing and sales stakeholders
Feb 01, 2019
Full-time
Leads the identification of optimal research and analysis methodologies to be used to provide key findings that will address a broad range of complex business questions. Supports advanced analytics/data modeling. Provides technical leadership to data scientists and business stakeholders to define data requirements, perform gap analysis, source and transform data to support exploratory data analysis, and design models.
Primary Responsibilities:
Leads multiple, high impact data research/analytics projects and programs.
Collaborates with and provides consulting to business partners to understand strategic requirements and corresponding needs for insight/information, and recommends optimal research and analytical approaches.
Delivers key findings for multiple projects/programs to business leader's and assists with decision making and prioritization of initiatives.
Serves as Subject Matter Expert for implementation of new approaches and identification of optimal blend of research/analytic techniques.
Provides end-to-end solutions that can tum complex and large volumes of data into 'intelligent data' that can answer critical business questions.
Provides leadership in the development of test strategy and measurement plans.
Plans, implements, and tracks long-term and short-term data projects.
Partners with technology teams to operationalize findings from exploratory data sourcing sprints.
Education and Experience:
Bachelor's degree (or foreign education equivalent) in Computer Science, Engineering, Business Administration, Marketing, Mathematics, Statistics, or a closely related field and six (6) years of experience in the job offered or six (6) years of experience in ad hoc data mining and predictive modeling to support investment management distribution strategy for CRM.
Or, alternatively, a Master's degree (or foreign education equivalent) in Computer Science, Engineering, Business Administration, Marketing, Mathematics, Statistics, or a closely related field and four (4) years of experience in the job offered or four ( 4) years of experience in ad hoc data mining and predictive modeling to support investment management distribution strategy for CRM.
Skills and Knowledge:
Candidate must also possess:
Demonstrated Expertise ("DE") extracting large datasets for predictive modeling and time series analysis using SPSS for financial distribution center and financial products in Oracle-based Star and Relational databases.
DE analyzing data from Oracle-based Star and Relational database CRM systems to identify sales opportunities in financial distribution and financial products, and to measure the results of client interactions in these opportunities with field and phone wholesalers and marketing initiatives.
DE developing client segmentation analysis to support multi-channel financial distribution and financial products sales and marketing efforts, including segmenting clients based on different financial products related to channel sales strategy and developing linear and logistic regression models for customer segmentation.
DE analyzing and presenting results of financial products sales and marketing to senior executives and making recommendation to marketing and sales stakeholders
Corporate Technology Group (CTG) is seeking a Systems Analyst to define and document requirements for a series of compliance and risk-related IT projects with a focus on retail trade surveillance. The core objective of the project work is to help our sponsors to reduce regulatory risk and protect customer assets. This person will be expected to facilitate requirements gathering sessions with customers, document the requirements, and propose design solutions. A strong candidate will have some background in brokerage-related concepts, machine learning, robotics, and predictive analytics. The candidate must also have experience with the Agile development methodology, project management-related best practices, and leadership.
This position is based full time in Smithfield, RI.
Primary Responsibilities
Understand and document current state business process flows, policies, and procedures.
Solicit, understand, and document stories specific to efficiency and strategic initiatives put forth by business partners. Enter data into JIRA and coordinate sprints.
Contribute ideas and information to system design discussions
Become a subject matter expert on both business flows and our technology platform
Partner closely with quality assurance team to transfer knowledge, document use cases, and test software
Oversee and implement process improvement initiatives specific to analysis and design best practices
Analyze incident and problem trends specific to assigned projects. Recommend resolutions where appropriate.
Facilitate meetings in an organized and efficient manner.
Ensure the technology capabilities are responsive to the needs of the business objectives.
Why Fidelity?
Three consecutive years on CareerBliss'Top 50 Happiest Companies Employees Survey
A company that is committed to innovation and being an industry leader by investing in technology
More than 12,000 technology professionals utilizing an Agile methodology enterprise-wide
Access to top-tier technology platforms, OS, and frameworks
Non-traditional benefits like our Concierge Service, Computer Equipment Purchase Assistance Program and profit sharing eligibility
Company Culture
At Fidelity, you can find it all here. We reward ambitious, passionate individuals with a work environment that fosters diversity, teamwork and collaboration as well as encourages innovative ideas and fresh thinking. We recognize the value that employees' individual differences can contribute to the bright and strong future of our company.
Education and Experience
Bachelor degree in finance, mathematics, computer science, information systems, or a related technical field
MBA or Masters is a plus.
10+ years working in the IT industry;
5+ years managing application development projects supporting compliance and/or brokerage functions
Experience with vendor management and third-party product implementations. Time working with Actimize product and large batch cycles a plus.
Experience in querying relational databases and interpreting results. Oracle and pl/sql stored procedures preferred
Experience with finance and brokerage related concepts is preferred
Skills and Knowledge
Strong communication and leadership presence. The candidate must have the ability to present ideas and information clearly and effectively through oral and written channels.
Ability to work with stakeholders geographically dispersed across multiple locations (both onshore and offshore).
Ability to deliver projects using an Agile development methodology. Familiarity with the agile framework and JIRA is a plus.
Ability to work closely with business and technology partners across multiple business domains and providing the appropriate system solutions
Working knowledge of business intelligence tools, techniques, and best practices
Fidelity Investments is one of the world's largest providers of financial services. Founded in 1946, the firm is a leading provider of investment management, retirement planning, portfolio guidance, brokerage, benefits outsourcing and many other financial products and services to more than 20 million individuals and institutions, as well as through 5,000 financial intermediary firms.
Fidelity Investments is an equal opportunity employer.
Feb 01, 2019
Full-time
Corporate Technology Group (CTG) is seeking a Systems Analyst to define and document requirements for a series of compliance and risk-related IT projects with a focus on retail trade surveillance. The core objective of the project work is to help our sponsors to reduce regulatory risk and protect customer assets. This person will be expected to facilitate requirements gathering sessions with customers, document the requirements, and propose design solutions. A strong candidate will have some background in brokerage-related concepts, machine learning, robotics, and predictive analytics. The candidate must also have experience with the Agile development methodology, project management-related best practices, and leadership.
This position is based full time in Smithfield, RI.
Primary Responsibilities
Understand and document current state business process flows, policies, and procedures.
Solicit, understand, and document stories specific to efficiency and strategic initiatives put forth by business partners. Enter data into JIRA and coordinate sprints.
Contribute ideas and information to system design discussions
Become a subject matter expert on both business flows and our technology platform
Partner closely with quality assurance team to transfer knowledge, document use cases, and test software
Oversee and implement process improvement initiatives specific to analysis and design best practices
Analyze incident and problem trends specific to assigned projects. Recommend resolutions where appropriate.
Facilitate meetings in an organized and efficient manner.
Ensure the technology capabilities are responsive to the needs of the business objectives.
Why Fidelity?
Three consecutive years on CareerBliss'Top 50 Happiest Companies Employees Survey
A company that is committed to innovation and being an industry leader by investing in technology
More than 12,000 technology professionals utilizing an Agile methodology enterprise-wide
Access to top-tier technology platforms, OS, and frameworks
Non-traditional benefits like our Concierge Service, Computer Equipment Purchase Assistance Program and profit sharing eligibility
Company Culture
At Fidelity, you can find it all here. We reward ambitious, passionate individuals with a work environment that fosters diversity, teamwork and collaboration as well as encourages innovative ideas and fresh thinking. We recognize the value that employees' individual differences can contribute to the bright and strong future of our company.
Education and Experience
Bachelor degree in finance, mathematics, computer science, information systems, or a related technical field
MBA or Masters is a plus.
10+ years working in the IT industry;
5+ years managing application development projects supporting compliance and/or brokerage functions
Experience with vendor management and third-party product implementations. Time working with Actimize product and large batch cycles a plus.
Experience in querying relational databases and interpreting results. Oracle and pl/sql stored procedures preferred
Experience with finance and brokerage related concepts is preferred
Skills and Knowledge
Strong communication and leadership presence. The candidate must have the ability to present ideas and information clearly and effectively through oral and written channels.
Ability to work with stakeholders geographically dispersed across multiple locations (both onshore and offshore).
Ability to deliver projects using an Agile development methodology. Familiarity with the agile framework and JIRA is a plus.
Ability to work closely with business and technology partners across multiple business domains and providing the appropriate system solutions
Working knowledge of business intelligence tools, techniques, and best practices
Fidelity Investments is one of the world's largest providers of financial services. Founded in 1946, the firm is a leading provider of investment management, retirement planning, portfolio guidance, brokerage, benefits outsourcing and many other financial products and services to more than 20 million individuals and institutions, as well as through 5,000 financial intermediary firms.
Fidelity Investments is an equal opportunity employer.
Organization: StubHub, www.stubhub.com (an eBay company NASDAQ: EBAY)
The Opportunity
We are looking for an experienced Data scientist with exceptional product sense to help champion the use of data in product decision-making. In this role you will work closely with our Engineering, Product, Ops, and Design teams to evaluate product opportunities, track product metrics, develop and analyze experiments, and drive deep-dive studies to identify new opportunities.
You will:
Apply data & analytical skills to help understand how our customers use our products
Partner closely with product leadership to define, measure and report on core product and feature metrics
Design customer-facing experiments (A/B tests) and distill their results into actionable outcomes
Execute cohort studies and drive analyses to understand customer behavior and identify opportunities for improving our product(s)
Collaborate with data and business intelligence teams to develop reports and visualization dashboards
Build financial models to project key business metrics - Traffic, conversion, Engagement - and develop KPIs to measure initiative performance
You have:
Strong quantitative background with Product analytics experience. Proven track record in solving business problems through fact based and scientific analytics
Excellent technical skills - including the ability to query databases (SQL, Hive etc.), leveraging R/Python to analyze complex data, and using Tableau (or other visualization tools) to deliver insights at scale
Deep understanding of statistics, experimental design, and causal inference
The ability to translate analytical insights into clear recommendations and effectively deliver it to technical and non-technical stakeholders
Worked in cross-functional and cross-cultural teams, and are able to communicate technically intricate concepts/results in business terms
Passion for technology and consumer products
Why StubHub?
StubHub is the world's largest ticket marketplace, enabling fans to buy and sell tickets to tens of thousands of sports, concert, theater and other live entertainment events. StubHub reinvented the ticket resale market in 2000 and continues to lead it through innovation. The company's unique online marketplace, dedicated solely to tickets, provides all fans the choice to buy or sell their tickets in a safe, convenient and highly reliable environment. All transactions are processed and delivered by StubHub and backed by the company's FanProtect Guarantee™ processing a ticket every second today with billions of ticket sales each year globally. Company partners MLB, AEG, ESPN and many leading teams such as the San Francisco Giants and University of Texas, along with over 60 other teams in MLB, NBA, NHL and NCAA.
Our Values
StubHub One – We act as one team in pursuit of connecting people through inspiring event experiences
At StubHub, we are:
Driven – We strive for excellence – constantly improving our game Courageous – We are bold & not afraid to challenge the status quo Inventive – We see what others don’t & pioneer new paths Richly Diverse – We recognize & respect everyone as a unique individual Brand – We experience the world through StubHub.
eBay Inc. is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, sexual orientation, gender identity, veteran status, and disability, or other legally protected status. If you are unable to submit an application because of incompatible assistive technology or a disability, please contact us. We will make every effort to respond to your request for disability assistance as soon as possible.
Feb 01, 2019
Full-time
Organization: StubHub, www.stubhub.com (an eBay company NASDAQ: EBAY)
The Opportunity
We are looking for an experienced Data scientist with exceptional product sense to help champion the use of data in product decision-making. In this role you will work closely with our Engineering, Product, Ops, and Design teams to evaluate product opportunities, track product metrics, develop and analyze experiments, and drive deep-dive studies to identify new opportunities.
You will:
Apply data & analytical skills to help understand how our customers use our products
Partner closely with product leadership to define, measure and report on core product and feature metrics
Design customer-facing experiments (A/B tests) and distill their results into actionable outcomes
Execute cohort studies and drive analyses to understand customer behavior and identify opportunities for improving our product(s)
Collaborate with data and business intelligence teams to develop reports and visualization dashboards
Build financial models to project key business metrics - Traffic, conversion, Engagement - and develop KPIs to measure initiative performance
You have:
Strong quantitative background with Product analytics experience. Proven track record in solving business problems through fact based and scientific analytics
Excellent technical skills - including the ability to query databases (SQL, Hive etc.), leveraging R/Python to analyze complex data, and using Tableau (or other visualization tools) to deliver insights at scale
Deep understanding of statistics, experimental design, and causal inference
The ability to translate analytical insights into clear recommendations and effectively deliver it to technical and non-technical stakeholders
Worked in cross-functional and cross-cultural teams, and are able to communicate technically intricate concepts/results in business terms
Passion for technology and consumer products
Why StubHub?
StubHub is the world's largest ticket marketplace, enabling fans to buy and sell tickets to tens of thousands of sports, concert, theater and other live entertainment events. StubHub reinvented the ticket resale market in 2000 and continues to lead it through innovation. The company's unique online marketplace, dedicated solely to tickets, provides all fans the choice to buy or sell their tickets in a safe, convenient and highly reliable environment. All transactions are processed and delivered by StubHub and backed by the company's FanProtect Guarantee™ processing a ticket every second today with billions of ticket sales each year globally. Company partners MLB, AEG, ESPN and many leading teams such as the San Francisco Giants and University of Texas, along with over 60 other teams in MLB, NBA, NHL and NCAA.
Our Values
StubHub One – We act as one team in pursuit of connecting people through inspiring event experiences
At StubHub, we are:
Driven – We strive for excellence – constantly improving our game Courageous – We are bold & not afraid to challenge the status quo Inventive – We see what others don’t & pioneer new paths Richly Diverse – We recognize & respect everyone as a unique individual Brand – We experience the world through StubHub.
eBay Inc. is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, sexual orientation, gender identity, veteran status, and disability, or other legally protected status. If you are unable to submit an application because of incompatible assistive technology or a disability, please contact us. We will make every effort to respond to your request for disability assistance as soon as possible.
At eBay, you will be part of a purpose driven community dedicated to creating a bold and versatile work environment. In eBay Payments, you will be an integral member of a growing organization that inspires passion, courage and inventiveness - creating the future of global commerce and making an important, positive impact on millions of eBay sellers and shoppers around the world. If you are looking for a special place to take your Payments career to the next level, we want to talk with you!
Risk Management is at the core of Payments done well – and we are hiring curious, driven, and courageous experts to transform our business unit to enable eBay's next generation Payments strategy. Our focus is to ensure the integrity of our marketplace for buyers and sellers who transact with us every single day. The scope of our charter includes Risk Management Strategy, Policy, Decision Sciences, and Policy Operations.
We are looking for a highly talented and self-motivated data scientist to join our Decision Science team. Decision Science contains both data scientists and software engineers responsible for creating and implementing state of the art machine learning algorithms for fraud detection and risk assessment in support of Risk Management. The primary responsibility of this role is to assist in algorithm development inside of a high throughput, low latency, big data environment.
Primary Job Responsibilities
The data scientist will support the risk department, leveraging big data technologies to aggregate and structure data, perform statistical analysis, and build algorithmic solutions to reduce fraud, monitor our buyers and sellers, and intermediate payments to improve the overall eBay experience.
You will mine and analyze massive amount of unique internal and external data to gain deep business knowledge and insight on customer activity and usage behaviors and their relationships with fraud, credit risks, and other types of behaviors.
Acts as the technical owner of projects that may require significant customization of existing analytic tools, techniques, processes or development of new ones.
Perform statistical data analysis and understanding, ensure data quality, and develop tracking and reporting systems to determine the effectiveness of models, rules, and other risk initiatives and programs.
Design and create systems to structure, aggregate, and turn petabytes of messy information into statistically significant features for modeling purposes.
Problem sets are focused around fraud and risk management to include models to prevent fraudsters from listing and monetizing on the platform, thwarting registration attacks, and risk scoring our customers.
Required Skills and Experience
Bachelor’s degree in a quantitative field, MS/PHD preferred
Entry to mid level role.
Experience in SQL, relational databases
Experience with Big Data technology: Hadoop framework: Hive, Spark, etc. a plus
Expertise in machine learning packages Python, R,SAS
Strong knowledge of 1 or more scripting and programming languages (Python, Java, Scala, etc.)
Background in a variety modeling techniques: GBM, logistic regression, clustering, neural networks, NLP
Strong analytical skills with good problem solving ability
eBay Inc. is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, sexual orientation, gender identity, veteran status, and disability, or other legally protected status. If you are unable to submit an application because of incompatible assistive technology or a disability, please contact us. We will make every effort to respond to your request for disability assistance as soon as possible.
Feb 01, 2019
Full-time
At eBay, you will be part of a purpose driven community dedicated to creating a bold and versatile work environment. In eBay Payments, you will be an integral member of a growing organization that inspires passion, courage and inventiveness - creating the future of global commerce and making an important, positive impact on millions of eBay sellers and shoppers around the world. If you are looking for a special place to take your Payments career to the next level, we want to talk with you!
Risk Management is at the core of Payments done well – and we are hiring curious, driven, and courageous experts to transform our business unit to enable eBay's next generation Payments strategy. Our focus is to ensure the integrity of our marketplace for buyers and sellers who transact with us every single day. The scope of our charter includes Risk Management Strategy, Policy, Decision Sciences, and Policy Operations.
We are looking for a highly talented and self-motivated data scientist to join our Decision Science team. Decision Science contains both data scientists and software engineers responsible for creating and implementing state of the art machine learning algorithms for fraud detection and risk assessment in support of Risk Management. The primary responsibility of this role is to assist in algorithm development inside of a high throughput, low latency, big data environment.
Primary Job Responsibilities
The data scientist will support the risk department, leveraging big data technologies to aggregate and structure data, perform statistical analysis, and build algorithmic solutions to reduce fraud, monitor our buyers and sellers, and intermediate payments to improve the overall eBay experience.
You will mine and analyze massive amount of unique internal and external data to gain deep business knowledge and insight on customer activity and usage behaviors and their relationships with fraud, credit risks, and other types of behaviors.
Acts as the technical owner of projects that may require significant customization of existing analytic tools, techniques, processes or development of new ones.
Perform statistical data analysis and understanding, ensure data quality, and develop tracking and reporting systems to determine the effectiveness of models, rules, and other risk initiatives and programs.
Design and create systems to structure, aggregate, and turn petabytes of messy information into statistically significant features for modeling purposes.
Problem sets are focused around fraud and risk management to include models to prevent fraudsters from listing and monetizing on the platform, thwarting registration attacks, and risk scoring our customers.
Required Skills and Experience
Bachelor’s degree in a quantitative field, MS/PHD preferred
Entry to mid level role.
Experience in SQL, relational databases
Experience with Big Data technology: Hadoop framework: Hive, Spark, etc. a plus
Expertise in machine learning packages Python, R,SAS
Strong knowledge of 1 or more scripting and programming languages (Python, Java, Scala, etc.)
Background in a variety modeling techniques: GBM, logistic regression, clustering, neural networks, NLP
Strong analytical skills with good problem solving ability
eBay Inc. is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, sexual orientation, gender identity, veteran status, and disability, or other legally protected status. If you are unable to submit an application because of incompatible assistive technology or a disability, please contact us. We will make every effort to respond to your request for disability assistance as soon as possible.
This position is within the Global Insights and Analytics (GIA) team - the heart of Intel's central market research and insights function that supports the Global Marketing and Communication (GMC) group and Intel's Business Units (BUs). Emphasis of this position is on driving data driven culture into Intel's marketing efforts and integrating analytics driven insights into decision making by combining behavioral data (i.e. web behavior, social media listening, search, telemetry) with traditional primary research data (i.e. survey-based data, focus groups) and other types of data (i.e. sales, media spend).
This individual contributor Marketing Data Scientist position will assist business with insights based on finding patterns and relationships in data. This position requires experience with predictive modeling, statistics, Machine Learning, Data Mining, and other data analysis techniques to collect, explore, and extract insights from structured and unstructured data. We are seeking someone who has a strong business understanding in order to translate data into intelligence, solve a variety of business problems and enable marketing strategy.
Qualifications
Minimum Qualifications:
Bachelor’s Degree in in Statistics, Mathematics, Economics, Computer Science, Data Science or Engineering (Masters Degree is a plus).
Minimum 4 years of experience in marketing, sales or business analytics.
Experience with data mining software packages such as R, PYTHON, SAS, SPLUS.
SQL and statistical algorithms and modeling.
Experience working with large and complex data sets.
Experience in predictive modeling and machine learning algorithms.
Additional Preferred Characteristics:
Effective presentation/communication skills and the ability to interpret and simplify data for others.
Communicate conclusions in a clear and sharp manner.
Work well independently as well as part of a broad team.
Innovative attitude and out-of-the-box thinking.
Curious and inspired by challenges. A keen interest in innovation and breaking new ground for Intel.
Inside this Business Group
Global Marketing & Communications is responsible for Intel's brand management, end-user product marketing and go-to-market activation strategy for direct and indirect marketing programs worldwide.
Other Locations
US, California, Santa Clara
Posting Statement
All qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance.
Feb 01, 2019
Full-time
This position is within the Global Insights and Analytics (GIA) team - the heart of Intel's central market research and insights function that supports the Global Marketing and Communication (GMC) group and Intel's Business Units (BUs). Emphasis of this position is on driving data driven culture into Intel's marketing efforts and integrating analytics driven insights into decision making by combining behavioral data (i.e. web behavior, social media listening, search, telemetry) with traditional primary research data (i.e. survey-based data, focus groups) and other types of data (i.e. sales, media spend).
This individual contributor Marketing Data Scientist position will assist business with insights based on finding patterns and relationships in data. This position requires experience with predictive modeling, statistics, Machine Learning, Data Mining, and other data analysis techniques to collect, explore, and extract insights from structured and unstructured data. We are seeking someone who has a strong business understanding in order to translate data into intelligence, solve a variety of business problems and enable marketing strategy.
Qualifications
Minimum Qualifications:
Bachelor’s Degree in in Statistics, Mathematics, Economics, Computer Science, Data Science or Engineering (Masters Degree is a plus).
Minimum 4 years of experience in marketing, sales or business analytics.
Experience with data mining software packages such as R, PYTHON, SAS, SPLUS.
SQL and statistical algorithms and modeling.
Experience working with large and complex data sets.
Experience in predictive modeling and machine learning algorithms.
Additional Preferred Characteristics:
Effective presentation/communication skills and the ability to interpret and simplify data for others.
Communicate conclusions in a clear and sharp manner.
Work well independently as well as part of a broad team.
Innovative attitude and out-of-the-box thinking.
Curious and inspired by challenges. A keen interest in innovation and breaking new ground for Intel.
Inside this Business Group
Global Marketing & Communications is responsible for Intel's brand management, end-user product marketing and go-to-market activation strategy for direct and indirect marketing programs worldwide.
Other Locations
US, California, Santa Clara
Posting Statement
All qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance.
The project analyst will be responsible for establishing and maintaining planning, tracking, and indicator systems for Intel Federal supporting SDG teams and programs with the goal of improving long term visibility and predictability and enabling data driven decision making. In this role you will be interacting with multiple levels of management, integrating data from multiple domains to create a full product/portfolio level picture.
Job Requirements:
Ability to perform in a high pressure, detail oriented, environment with multiple weekly deadlines and time critical analyses. Good communication skills with the ability to present complex data and draw conclusions in an easily understandable way. Ability to proactively identify and drive solutions to complex problems. Impeccable integrity. Gathering and analyzing data, then spotting trends and recommending improvements. The successful candidate's responsibilities include tracking progress against plans, developing/publishing metrics dashboards and performing analyses in the areas of critical chain project management, technical indicators and risk management. The candidate will need to understand the technical concepts, systems, development methods and disciplines associated with the defined projects, apply the knowledge to deliverables and leverage it to accelerate project completion.
Qualifications:
You should possess a Bachelor's degree in Engineering or computer science and have 3-5 years' experience in project controls and/or project management or equivalent experience. Additional qualifications include:
Experience with project management processes and methodologies like TOC, Agile, Scrum, etc.
Experience with project management software such as MS Project or Prochain
Proven multi-level stakeholder management skills, and the ability to quickly build relationships with stakeholders at all levels
Strong analytical and problem solving skills
Ability to work independently and as a team member
Excellent communication skills at both technical and business levels
Flexibility and ability to work successfully in a dynamic team environment and cross site/globally
Excellent interpersonal skills
Proficient in Microsoft* Office* applications
Proficient in Excel* pivot tables, formulas, and VBA*, PowerPivot, BI and SQL databases
English written and spoken
Experience in, and knowledge of, new product development processes (Si design and post si) and product 1lifecycles (IP & SOC)
This is an Intel Federal Position
This position involves work on a U.S. Government contract which may impose certain security requirements. The government may require that you certify your citizenship status. If you are not a U.S. citizen, the government may require you to pass a security check before you can be approved to work on the project. Please note that any offer by Intel for this position is conditioned upon meeting and/or passing the U.S. Government's security check requirements should the government impose these requirements.
Posting Statement
All qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance.
Feb 01, 2019
Full-time
The project analyst will be responsible for establishing and maintaining planning, tracking, and indicator systems for Intel Federal supporting SDG teams and programs with the goal of improving long term visibility and predictability and enabling data driven decision making. In this role you will be interacting with multiple levels of management, integrating data from multiple domains to create a full product/portfolio level picture.
Job Requirements:
Ability to perform in a high pressure, detail oriented, environment with multiple weekly deadlines and time critical analyses. Good communication skills with the ability to present complex data and draw conclusions in an easily understandable way. Ability to proactively identify and drive solutions to complex problems. Impeccable integrity. Gathering and analyzing data, then spotting trends and recommending improvements. The successful candidate's responsibilities include tracking progress against plans, developing/publishing metrics dashboards and performing analyses in the areas of critical chain project management, technical indicators and risk management. The candidate will need to understand the technical concepts, systems, development methods and disciplines associated with the defined projects, apply the knowledge to deliverables and leverage it to accelerate project completion.
Qualifications:
You should possess a Bachelor's degree in Engineering or computer science and have 3-5 years' experience in project controls and/or project management or equivalent experience. Additional qualifications include:
Experience with project management processes and methodologies like TOC, Agile, Scrum, etc.
Experience with project management software such as MS Project or Prochain
Proven multi-level stakeholder management skills, and the ability to quickly build relationships with stakeholders at all levels
Strong analytical and problem solving skills
Ability to work independently and as a team member
Excellent communication skills at both technical and business levels
Flexibility and ability to work successfully in a dynamic team environment and cross site/globally
Excellent interpersonal skills
Proficient in Microsoft* Office* applications
Proficient in Excel* pivot tables, formulas, and VBA*, PowerPivot, BI and SQL databases
English written and spoken
Experience in, and knowledge of, new product development processes (Si design and post si) and product 1lifecycles (IP & SOC)
This is an Intel Federal Position
This position involves work on a U.S. Government contract which may impose certain security requirements. The government may require that you certify your citizenship status. If you are not a U.S. citizen, the government may require you to pass a security check before you can be approved to work on the project. Please note that any offer by Intel for this position is conditioned upon meeting and/or passing the U.S. Government's security check requirements should the government impose these requirements.
Posting Statement
All qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance.
What you’ll do
In partnership with key stakeholder across HR and the business, design actionable metrics & analytics from a variety of different sources.
Analyze key metrics on a regular cadence (weekly, monthly, quarterly) and deliver insights in executive presentations
Help identify and solve data integrity issues as member of a cross functional team.
Support ad hoc requests for analysis for HRBP’s and other executive sponsors.
What you need to succeed
5-7 years analyst experience transforming and analyzing people data from multiple sources to drive business insights
Run advanced predictive models and statistical analyses using statistical software
Excellent communication skills and experience successfully partnering with non – analysts to drive improved outcomes for the business through analytics.
Proven ability to perform with a high degree of accuracy and highly confidential data
Experience with employee survey design & analysis or Workforce planning a plus.
At Adobe, you will be immersed in an exceptional work environment that is recognized throughout the world on Best Companies lists. You will also be surrounded by colleagues who are committed to helping each other grow through our unique Check-In approach where ongoing feedback flows freely.
If you’re looking to make an impact, Adobe's the place for you. Discover what our employees are saying about their career experiences on the Adobe Life blog and explore the meaningful benefits we offer.
Adobe is an equal opportunity employer. We welcome and encourage diversity in the workplace regardless of race, gender, religion, age, sexual orientation, gender identity, disability or veteran status.
Feb 01, 2019
Full-time
What you’ll do
In partnership with key stakeholder across HR and the business, design actionable metrics & analytics from a variety of different sources.
Analyze key metrics on a regular cadence (weekly, monthly, quarterly) and deliver insights in executive presentations
Help identify and solve data integrity issues as member of a cross functional team.
Support ad hoc requests for analysis for HRBP’s and other executive sponsors.
What you need to succeed
5-7 years analyst experience transforming and analyzing people data from multiple sources to drive business insights
Run advanced predictive models and statistical analyses using statistical software
Excellent communication skills and experience successfully partnering with non – analysts to drive improved outcomes for the business through analytics.
Proven ability to perform with a high degree of accuracy and highly confidential data
Experience with employee survey design & analysis or Workforce planning a plus.
At Adobe, you will be immersed in an exceptional work environment that is recognized throughout the world on Best Companies lists. You will also be surrounded by colleagues who are committed to helping each other grow through our unique Check-In approach where ongoing feedback flows freely.
If you’re looking to make an impact, Adobe's the place for you. Discover what our employees are saying about their career experiences on the Adobe Life blog and explore the meaningful benefits we offer.
Adobe is an equal opportunity employer. We welcome and encourage diversity in the workplace regardless of race, gender, religion, age, sexual orientation, gender identity, disability or veteran status.
This individual is a key analyst and insights contributor on the Account Based Marketing & Insights team. The role will focus on generating new, repeatable and actionable insights for the Adobe Americas business.
This position will spearhead and become an expert in Enterprise account engagement score and marketing qualified account measurement efforts. This includes discovering and understanding new and existing data sets, working with engineers to scale repeatable reporting, liaising with marketing and business counterparts, and driving adoption of new measurement frameworks.
This role will be responsible for generating strategic insights from the data to help develop test plans, inform audience targeting, and program/media mix and content and creating a feedback loop of performance and strategy from the business partners to the Account Based Marketing Team and recommending strategies to improve Adobe’s understanding of accounts in a scalable way.
Responsibilities
We’re looking for someone who is comfortable working in a fast-paced environment and can adapt to shifting conditions, priorities, or deadlines, is meticulous and detail oriented, and is a self-starter.
Cleaning and analyzing data, then translating it into a relatable and easily understood story that resonates with internal stakeholders and external clients.
Building internal relationships with key stakeholders to understand business and sales opportunities and needs, developing plans of execution, and ensuring insights and recommendations are readily available.
Recommending methods of data ingestion to ensure findings, strategies, and insights that are important to business counterparts are ingested as part of Account Based Marketing & Insights
Gathering data in different SQL and Hadoop databases and analyzing large sets of data to identify new trends and insights.
Requirements
BS/BA in business, marketing, economics, or similar degree preferred
3-5 years in a business analyst or consulting role, working with large, differentiated data sets within varying industries preferred
Experience with account based frameworks, measurement and implementation helpful
B2B business experience and background in marketing strategies and tactics preferred
Proficient in SQL, with a strong understand of relational databases; passionate about data analysis
Love for Excel and data analysis and advanced understanding of SQL and database querying
Familiarity with Hadoop and unorganized data structures; Joining disparate data sources together for insights and results
Passionate for translating data and trends into meaningful insights and stories
Excellent written communication skills
Excellent time management and project management skills, including building relationships with internal clients to understand requests and building strategic plans to meet those requests
Knowledge and hands-on experience with Adobe products (Adobe Stock, Adobe Analytics) preferred
At Adobe, you will be immersed in an exceptional work environment that is recognized throughout the world on Best Companies lists. You will also be surrounded by colleagues who are committed to helping each other grow through our unique Check-In approach where ongoing feedback flows freely.
If you’re looking to make an impact, Adobe's the place for you. Discover what our employees are saying about their career experiences on the Adobe Life blog and explore the meaningful benefits we offer.
Adobe is an equal opportunity employer. We welcome and encourage diversity in the workplace regardless of race, gender, religion, age, sexual orientation, gender identity, disability or veteran status.
Feb 01, 2019
Full-time
This individual is a key analyst and insights contributor on the Account Based Marketing & Insights team. The role will focus on generating new, repeatable and actionable insights for the Adobe Americas business.
This position will spearhead and become an expert in Enterprise account engagement score and marketing qualified account measurement efforts. This includes discovering and understanding new and existing data sets, working with engineers to scale repeatable reporting, liaising with marketing and business counterparts, and driving adoption of new measurement frameworks.
This role will be responsible for generating strategic insights from the data to help develop test plans, inform audience targeting, and program/media mix and content and creating a feedback loop of performance and strategy from the business partners to the Account Based Marketing Team and recommending strategies to improve Adobe’s understanding of accounts in a scalable way.
Responsibilities
We’re looking for someone who is comfortable working in a fast-paced environment and can adapt to shifting conditions, priorities, or deadlines, is meticulous and detail oriented, and is a self-starter.
Cleaning and analyzing data, then translating it into a relatable and easily understood story that resonates with internal stakeholders and external clients.
Building internal relationships with key stakeholders to understand business and sales opportunities and needs, developing plans of execution, and ensuring insights and recommendations are readily available.
Recommending methods of data ingestion to ensure findings, strategies, and insights that are important to business counterparts are ingested as part of Account Based Marketing & Insights
Gathering data in different SQL and Hadoop databases and analyzing large sets of data to identify new trends and insights.
Requirements
BS/BA in business, marketing, economics, or similar degree preferred
3-5 years in a business analyst or consulting role, working with large, differentiated data sets within varying industries preferred
Experience with account based frameworks, measurement and implementation helpful
B2B business experience and background in marketing strategies and tactics preferred
Proficient in SQL, with a strong understand of relational databases; passionate about data analysis
Love for Excel and data analysis and advanced understanding of SQL and database querying
Familiarity with Hadoop and unorganized data structures; Joining disparate data sources together for insights and results
Passionate for translating data and trends into meaningful insights and stories
Excellent written communication skills
Excellent time management and project management skills, including building relationships with internal clients to understand requests and building strategic plans to meet those requests
Knowledge and hands-on experience with Adobe products (Adobe Stock, Adobe Analytics) preferred
At Adobe, you will be immersed in an exceptional work environment that is recognized throughout the world on Best Companies lists. You will also be surrounded by colleagues who are committed to helping each other grow through our unique Check-In approach where ongoing feedback flows freely.
If you’re looking to make an impact, Adobe's the place for you. Discover what our employees are saying about their career experiences on the Adobe Life blog and explore the meaningful benefits we offer.
Adobe is an equal opportunity employer. We welcome and encourage diversity in the workplace regardless of race, gender, religion, age, sexual orientation, gender identity, disability or veteran status.
Overview
We have an exciting opportunity on a team that is defining how we use analytics to transform customer experiences, accelerate business growth and optimize our growth efforts. We are looking for a data-driven individual with excellent analytical skills, experience in product conversion and a passion for delivering data-driven insights to join Intuit’s Analytics Center of Excellence for TurboTax.
Responsibilities
Partners with business leaders (e.g. marketing, product and customer success) to define business strategies, areas of investment, and critical priorities
Leads and nurtures a team of talented analysts with a focus on product conversion, key customer benefit metrics, and end-to-end customer experiences
Build recommendations by synthesizing multiple types of data, developing assumptions in lieu of data and using external sources to help drive business learnings and strategy development
Uses quantitative data gathered with software measurement tools, click streams and drill-downs to develop an understanding of customer behavior and make product experience recommendations
Applies statistics-based market intelligence to business issues and formulates recommendations
Define, implement and standardize metrics, reports and dashboards leveraging Tableau or other data visualization tools
Collaborate both internally and externally to ensure reporting solutions are scalable, repeatable, effective, and meet the expectations of internal customers
Take the lead on TurboTax product initiatives by defining useful hypotheses, designing robust experiments, analyzing results, presenting insights to business stakeholders and putting lessons learned into practice
Answer ad-hoc analytic questions, contribute to decision-making through opportunity sizing, and train users to self-serve standard reports leveraging Tableau
Pursue data quality, troubleshoot data validation, and see issues to resolution
Ensure data collection is optimized to provide crystal-clear visibility into the impact and value of new initiatives and product releases
Qualifications
7-10 years of web analytics or product analytics experience
Deep Subject matter expertise with clickstream data and SQL is a must
Understanding of complex web ecosystems, best practices and ability to put this knowledge into action
Experience with Tableau or another reporting solution a plus
Ability to tell stories with data, educate effectively, and instill confidence, motivating stakeholders to act on recommendations
Excellent problem-solving skills and end to end quantitative thinking
Ability to manage multiple projects simultaneously to meet objectives and key deadlines
Outstanding communications skills with both technical and non-technical colleagues
Proactive and inquisitive learner... seeks out and capitalizes on opportunities for change that enhance the business, rather than reacting to circumstances.
Imagine a career where your creative inspiration can fuel BIG innovation. Year-over-year, Intuit has been recognized as a best employer and is consistently ranked on Fortune's "100 Best Companies To Work For" and Fortune World's "Most Admired Software Companies" lists. Immerse yourself in our award winning culture while creating breakthrough solutions that simplify the lives of consumers and small businesses and their customers worldwide.
Intuit is expanding its social, mobile, and global footprint with a full suite of products and services that are revolutionizing the industry. Utilizing design for delight and lean startup methodologies, our entrepreneurial employees have brought more than 250 innovations to market – from QuickBooks® and TurboTax®, to GoPayment, Mint.com, big data, cloud (SaaS, PaaS) and mobile apps. The breadth and depth of these customer-driven innovations mean limitless opportunities for you to turn your ingenious ideas into reality at Intuit.
Discover what it's like to be part of a team that rewards taking risks and trying new things. It's time to love what you do! Check out all of our career opportunities at: careers.intuit.com. EOE AA M/F/Vet/Disability
Intuit will consider for employment qualified applicants with criminal histories in a manner consistent with requirements of local law.
Feb 01, 2019
Full-time
Overview
We have an exciting opportunity on a team that is defining how we use analytics to transform customer experiences, accelerate business growth and optimize our growth efforts. We are looking for a data-driven individual with excellent analytical skills, experience in product conversion and a passion for delivering data-driven insights to join Intuit’s Analytics Center of Excellence for TurboTax.
Responsibilities
Partners with business leaders (e.g. marketing, product and customer success) to define business strategies, areas of investment, and critical priorities
Leads and nurtures a team of talented analysts with a focus on product conversion, key customer benefit metrics, and end-to-end customer experiences
Build recommendations by synthesizing multiple types of data, developing assumptions in lieu of data and using external sources to help drive business learnings and strategy development
Uses quantitative data gathered with software measurement tools, click streams and drill-downs to develop an understanding of customer behavior and make product experience recommendations
Applies statistics-based market intelligence to business issues and formulates recommendations
Define, implement and standardize metrics, reports and dashboards leveraging Tableau or other data visualization tools
Collaborate both internally and externally to ensure reporting solutions are scalable, repeatable, effective, and meet the expectations of internal customers
Take the lead on TurboTax product initiatives by defining useful hypotheses, designing robust experiments, analyzing results, presenting insights to business stakeholders and putting lessons learned into practice
Answer ad-hoc analytic questions, contribute to decision-making through opportunity sizing, and train users to self-serve standard reports leveraging Tableau
Pursue data quality, troubleshoot data validation, and see issues to resolution
Ensure data collection is optimized to provide crystal-clear visibility into the impact and value of new initiatives and product releases
Qualifications
7-10 years of web analytics or product analytics experience
Deep Subject matter expertise with clickstream data and SQL is a must
Understanding of complex web ecosystems, best practices and ability to put this knowledge into action
Experience with Tableau or another reporting solution a plus
Ability to tell stories with data, educate effectively, and instill confidence, motivating stakeholders to act on recommendations
Excellent problem-solving skills and end to end quantitative thinking
Ability to manage multiple projects simultaneously to meet objectives and key deadlines
Outstanding communications skills with both technical and non-technical colleagues
Proactive and inquisitive learner... seeks out and capitalizes on opportunities for change that enhance the business, rather than reacting to circumstances.
Imagine a career where your creative inspiration can fuel BIG innovation. Year-over-year, Intuit has been recognized as a best employer and is consistently ranked on Fortune's "100 Best Companies To Work For" and Fortune World's "Most Admired Software Companies" lists. Immerse yourself in our award winning culture while creating breakthrough solutions that simplify the lives of consumers and small businesses and their customers worldwide.
Intuit is expanding its social, mobile, and global footprint with a full suite of products and services that are revolutionizing the industry. Utilizing design for delight and lean startup methodologies, our entrepreneurial employees have brought more than 250 innovations to market – from QuickBooks® and TurboTax®, to GoPayment, Mint.com, big data, cloud (SaaS, PaaS) and mobile apps. The breadth and depth of these customer-driven innovations mean limitless opportunities for you to turn your ingenious ideas into reality at Intuit.
Discover what it's like to be part of a team that rewards taking risks and trying new things. It's time to love what you do! Check out all of our career opportunities at: careers.intuit.com. EOE AA M/F/Vet/Disability
Intuit will consider for employment qualified applicants with criminal histories in a manner consistent with requirements of local law.
Overview
The QuickBooks Capital team is on a mission to transform small business lending. Imagine a world where QuickBooks customers can access funding in hours whenever they need it. And then imagine a world where we help small businesses make the right decision about when to take funding, how much to take, and what type. That’s the future state we’re working to make a reality. QuickBooks is better positioned to solve this customer pain point than any other player in the market and we are assembling a world class team to build this business.
If you are passionate about innovation, solving tough customer challenges, and building a start-up from the ground up, then come join our team!
Responsibilities
This role teams up with our credit strategy and data engineering teams closely to develop innovative credit models for our QuickBooks Financing products.
Use big data technology to mine massive scale and unstructured data to formulate innovative solutions to build new features and credit models
Build credit related models on customer segmentations, underwriting decisions and pricing by leveraging statistical algorithms (such as clustering time series analysis) and exploring cutting edge machine learning methods and tools (such as TensorFlow)
Develop solutions to improve data quality and usability, provide analysis on different level of data aggregations, and make judgmental decision on data structure and feature generation process
Design, implement, and monitor testing to explore new methodologies for our credit strategies
Dive deep into our lending portfolio performance and consolidate insights to present in front of business audience and senior/executive leaders
Work cross functionally with other business partners (product development, marketing, data engineering, etc.) to define data requirements and business needs
Actively contribute creative ideas to design new financing products for our QuickBooks customers
Qualifications
MS/PhD in quantitative fields such as Computer Science, Statistics, Operational Research, Industry Engineering, Economics etc.
Extensive experience in one or more of the following: SQL/relational database, big data technology (e. g., HDFS, Hive, or Spark). Knowing non-relational database or AWS is a plus
Strong statistical and machine learning skills with at least one of the programing tools (e. g, Python, R or other similar ones)
Have strong sense and direct experience on processing big data systematically and QA work on the final output
Having risk related domain knowledge is a plus, such as credit bureau attributes and scoring, scorecard modeling, pricing, loss forecasting, collections and fraud detections
Excellent communication skills and ability to learn fast
Confidence in taking ownership and passion in driving changes in a fast-paced working environment
Imagine a career where your creative inspiration can fuel BIG innovation. Year-over-year, Intuit has been recognized as a best employer and is consistently ranked on Fortune's "100 Best Companies To Work For" and Fortune World's "Most Admired Software Companies" lists. Immerse yourself in our award winning culture while creating breakthrough solutions that simplify the lives of consumers and small businesses and their customers worldwide.
Intuit is expanding its social, mobile, and global footprint with a full suite of products and services that are revolutionizing the industry. Utilizing design for delight and lean startup methodologies, our entrepreneurial employees have brought more than 250 innovations to market – from QuickBooks® and TurboTax®, to GoPayment, Mint.com, big data, cloud (SaaS, PaaS) and mobile apps. The breadth and depth of these customer-driven innovations mean limitless opportunities for you to turn your ingenious ideas into reality at Intuit.
Discover what it's like to be part of a team that rewards taking risks and trying new things. It's time to love what you do! Check out all of our career opportunities at: careers.intuit.com. EOE AA M/F/Vet/Disability
Intuit will consider for employment qualified applicants with criminal histories in a manner consistent with requirements of local law.
Feb 01, 2019
Full-time
Overview
The QuickBooks Capital team is on a mission to transform small business lending. Imagine a world where QuickBooks customers can access funding in hours whenever they need it. And then imagine a world where we help small businesses make the right decision about when to take funding, how much to take, and what type. That’s the future state we’re working to make a reality. QuickBooks is better positioned to solve this customer pain point than any other player in the market and we are assembling a world class team to build this business.
If you are passionate about innovation, solving tough customer challenges, and building a start-up from the ground up, then come join our team!
Responsibilities
This role teams up with our credit strategy and data engineering teams closely to develop innovative credit models for our QuickBooks Financing products.
Use big data technology to mine massive scale and unstructured data to formulate innovative solutions to build new features and credit models
Build credit related models on customer segmentations, underwriting decisions and pricing by leveraging statistical algorithms (such as clustering time series analysis) and exploring cutting edge machine learning methods and tools (such as TensorFlow)
Develop solutions to improve data quality and usability, provide analysis on different level of data aggregations, and make judgmental decision on data structure and feature generation process
Design, implement, and monitor testing to explore new methodologies for our credit strategies
Dive deep into our lending portfolio performance and consolidate insights to present in front of business audience and senior/executive leaders
Work cross functionally with other business partners (product development, marketing, data engineering, etc.) to define data requirements and business needs
Actively contribute creative ideas to design new financing products for our QuickBooks customers
Qualifications
MS/PhD in quantitative fields such as Computer Science, Statistics, Operational Research, Industry Engineering, Economics etc.
Extensive experience in one or more of the following: SQL/relational database, big data technology (e. g., HDFS, Hive, or Spark). Knowing non-relational database or AWS is a plus
Strong statistical and machine learning skills with at least one of the programing tools (e. g, Python, R or other similar ones)
Have strong sense and direct experience on processing big data systematically and QA work on the final output
Having risk related domain knowledge is a plus, such as credit bureau attributes and scoring, scorecard modeling, pricing, loss forecasting, collections and fraud detections
Excellent communication skills and ability to learn fast
Confidence in taking ownership and passion in driving changes in a fast-paced working environment
Imagine a career where your creative inspiration can fuel BIG innovation. Year-over-year, Intuit has been recognized as a best employer and is consistently ranked on Fortune's "100 Best Companies To Work For" and Fortune World's "Most Admired Software Companies" lists. Immerse yourself in our award winning culture while creating breakthrough solutions that simplify the lives of consumers and small businesses and their customers worldwide.
Intuit is expanding its social, mobile, and global footprint with a full suite of products and services that are revolutionizing the industry. Utilizing design for delight and lean startup methodologies, our entrepreneurial employees have brought more than 250 innovations to market – from QuickBooks® and TurboTax®, to GoPayment, Mint.com, big data, cloud (SaaS, PaaS) and mobile apps. The breadth and depth of these customer-driven innovations mean limitless opportunities for you to turn your ingenious ideas into reality at Intuit.
Discover what it's like to be part of a team that rewards taking risks and trying new things. It's time to love what you do! Check out all of our career opportunities at: careers.intuit.com. EOE AA M/F/Vet/Disability
Intuit will consider for employment qualified applicants with criminal histories in a manner consistent with requirements of local law.
We are looking for an exceptional Technical Program Manager who will support the Data organization at Slack. The Data organization is a highly-cross functional, matrixed team that spans Slack where you will primarily be responsible for facilitating execution and alignment across that organization, and driving large-scale initiatives that span this ecosystem.
You are able to fluidly move between business and technical contexts. You understand the business and its priorities and are able to effectively drive strategic cross-functional initiatives that deliver results. You understand technical implementation at a level that enables you to ask questions that clarify priorities and dependencies.
You break through communication issues and effectively develop relationships with stakeholders at all levels of the organization, and all facets of the business. You are comfortable communicating in both a technical and business setting, bridging conversations between Engineering, Analytics and business functional teams.
Do you use your critical thinking skills to drive successful organizational long-term plans while working on multiple, highly-detailed projects? Do you relish the opportunity to attack big, ambiguous problems? Do you develop methods to help the team get their work done effectively and drive the business to think critically about how to plan and prioritize the work? If this sounds interesting, come work at Slack! We're nice. :)
Your Responsibilities:
Interface with Technical and Business owners to define strategies, policies and initiatives; then bring them to life by driving in partnership with those stakeholders.
Manage cross-functional data-centric programs in a matrix organization covering a range of areas, bridging between Engineering, Analytics and Business functional teams.
Develop project plans, resource plans, with accuracy and in collaboration with technical resources
Provide hands-on program and project management during discovery, design, development, testing, implementation, and post-implementation phases
Provide day-to-day coordination and quality assurance for projects and tasks, deliver projects on time against the agreed-upon critical metrics
Drive internal and external process improvements across multiple teams and functions.
Requirements:
At least 4-6 years experience in an organization running resources, tasks, and workflows in a technical program management, systems engineering and/or project/program management role.
At least 2-3 years experience in a program management position partnering with business functions (i.e., Sales, Marketing, Finance, Legal, etc.), driving key initiatives cross-functionally
Strong Interpersonal skills, relationship building and experience working in a collaborative environment with diverse cross-functional teams - specifically, bridging technical and business partners.
Organizational and coordination skills along with multitasking capabilities to get things done in a fast-paced environment
BA/BS etc. are required; MBA a plus.
Experience in a fast-growing environment.
Detailed oriented, and self-motivated, with strong analytical skills
Bonus Points:
Experience working with Data and Analytics teams, including Data Warehousing teams a plus
You are an active Slack user
Strong emoji game
You have a get $%&* done attitude and you want to make an impact!
Slack is the collaboration hub of choice for companies of all sizes, all across the world. By using Slack, they ensure that the right people are always in the loop, that key information is always at their fingertips, and new team members can get up to speed easily. With Slack, teams are better connected.
Launched in February 2014, Slack is the fastest growing business application ever and is used by thousands of teams and millions of users every day. We currently have nine offices worldwide, in San Francisco, Vancouver, Dublin, Melbourne, New York, London, Tokyo, Toronto and Denver.
Ensuring a diverse and inclusive workplace where we learn from each other is core to Slack's values. We welcome people of different backgrounds, experiences, abilities and perspectives. We are an equal opportunity employer and a pleasant and supportive place to work. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Come do the best work of your life here at Slack.
Feb 01, 2019
Full-time
We are looking for an exceptional Technical Program Manager who will support the Data organization at Slack. The Data organization is a highly-cross functional, matrixed team that spans Slack where you will primarily be responsible for facilitating execution and alignment across that organization, and driving large-scale initiatives that span this ecosystem.
You are able to fluidly move between business and technical contexts. You understand the business and its priorities and are able to effectively drive strategic cross-functional initiatives that deliver results. You understand technical implementation at a level that enables you to ask questions that clarify priorities and dependencies.
You break through communication issues and effectively develop relationships with stakeholders at all levels of the organization, and all facets of the business. You are comfortable communicating in both a technical and business setting, bridging conversations between Engineering, Analytics and business functional teams.
Do you use your critical thinking skills to drive successful organizational long-term plans while working on multiple, highly-detailed projects? Do you relish the opportunity to attack big, ambiguous problems? Do you develop methods to help the team get their work done effectively and drive the business to think critically about how to plan and prioritize the work? If this sounds interesting, come work at Slack! We're nice. :)
Your Responsibilities:
Interface with Technical and Business owners to define strategies, policies and initiatives; then bring them to life by driving in partnership with those stakeholders.
Manage cross-functional data-centric programs in a matrix organization covering a range of areas, bridging between Engineering, Analytics and Business functional teams.
Develop project plans, resource plans, with accuracy and in collaboration with technical resources
Provide hands-on program and project management during discovery, design, development, testing, implementation, and post-implementation phases
Provide day-to-day coordination and quality assurance for projects and tasks, deliver projects on time against the agreed-upon critical metrics
Drive internal and external process improvements across multiple teams and functions.
Requirements:
At least 4-6 years experience in an organization running resources, tasks, and workflows in a technical program management, systems engineering and/or project/program management role.
At least 2-3 years experience in a program management position partnering with business functions (i.e., Sales, Marketing, Finance, Legal, etc.), driving key initiatives cross-functionally
Strong Interpersonal skills, relationship building and experience working in a collaborative environment with diverse cross-functional teams - specifically, bridging technical and business partners.
Organizational and coordination skills along with multitasking capabilities to get things done in a fast-paced environment
BA/BS etc. are required; MBA a plus.
Experience in a fast-growing environment.
Detailed oriented, and self-motivated, with strong analytical skills
Bonus Points:
Experience working with Data and Analytics teams, including Data Warehousing teams a plus
You are an active Slack user
Strong emoji game
You have a get $%&* done attitude and you want to make an impact!
Slack is the collaboration hub of choice for companies of all sizes, all across the world. By using Slack, they ensure that the right people are always in the loop, that key information is always at their fingertips, and new team members can get up to speed easily. With Slack, teams are better connected.
Launched in February 2014, Slack is the fastest growing business application ever and is used by thousands of teams and millions of users every day. We currently have nine offices worldwide, in San Francisco, Vancouver, Dublin, Melbourne, New York, London, Tokyo, Toronto and Denver.
Ensuring a diverse and inclusive workplace where we learn from each other is core to Slack's values. We welcome people of different backgrounds, experiences, abilities and perspectives. We are an equal opportunity employer and a pleasant and supportive place to work. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Come do the best work of your life here at Slack.
Slack is looking for interns to work alongside our data scientists for the summer of 2019. These internships are a unique opportunity for those that wish to gain hands-on experience working with data at a fast growing company. You will have the opportunity to join a collaborative group of data scientist who partner closely with Sales, Marketing, and Product to provide visibility into our data, craft narratives, find insights, and provide recommendations.
Requirements:
Currently pursuing a degree in a quantitative field.
Preferred candidates are pursuing advanced degrees in statistics, math, economics, or computer science.
Experience using R, Python, or SQL.
Excellent communication skills and the ability to tell a complete narrative using data.
Ability to connect data analysis to real business problems, in order to impact business performance.
Must be graduating December 2019 or later.
Slack is the collaboration hub of choice for companies of all sizes, all across the world. By using Slack, they ensure that the right people are always in the loop, that key information is always at their fingertips, and new team members can get up to speed easily. With Slack, teams are better connected.
Launched in February 2014, Slack is the fastest growing business application ever and is used by thousands of teams and millions of users every day. We currently have nine offices worldwide, in San Francisco, Vancouver, Dublin, Melbourne, New York, London, Tokyo, Toronto and Denver.
Ensuring a diverse and inclusive workplace where we learn from each other is core to Slack's values. We welcome people of different backgrounds, experiences, abilities and perspectives. We are an equal opportunity employer and a pleasant and supportive place to work. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Come do the best work of your life here at Slack.
Feb 01, 2019
Internship
Slack is looking for interns to work alongside our data scientists for the summer of 2019. These internships are a unique opportunity for those that wish to gain hands-on experience working with data at a fast growing company. You will have the opportunity to join a collaborative group of data scientist who partner closely with Sales, Marketing, and Product to provide visibility into our data, craft narratives, find insights, and provide recommendations.
Requirements:
Currently pursuing a degree in a quantitative field.
Preferred candidates are pursuing advanced degrees in statistics, math, economics, or computer science.
Experience using R, Python, or SQL.
Excellent communication skills and the ability to tell a complete narrative using data.
Ability to connect data analysis to real business problems, in order to impact business performance.
Must be graduating December 2019 or later.
Slack is the collaboration hub of choice for companies of all sizes, all across the world. By using Slack, they ensure that the right people are always in the loop, that key information is always at their fingertips, and new team members can get up to speed easily. With Slack, teams are better connected.
Launched in February 2014, Slack is the fastest growing business application ever and is used by thousands of teams and millions of users every day. We currently have nine offices worldwide, in San Francisco, Vancouver, Dublin, Melbourne, New York, London, Tokyo, Toronto and Denver.
Ensuring a diverse and inclusive workplace where we learn from each other is core to Slack's values. We welcome people of different backgrounds, experiences, abilities and perspectives. We are an equal opportunity employer and a pleasant and supportive place to work. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Come do the best work of your life here at Slack.
Slack is looking for experienced analysts to join our Analytics team and help drive the understanding, growth, and success of Slack. We have several roles open across different levels of seniority. You should have deep technical skills and be comfortable working in an evolving data infrastructure to help us make data-informed decisions. You will be scrappy, independent, and excited about having a big impact in a growing team.
You will partner closely with Sales, Marketing, and Product to provide visibility into our data, craft narratives, find insights, and provide recommendations. Analytics works closely with a group of cross-functional teams, such as Data Engineering & IT, to transform massive amounts of data into data products and insights that allow the rest of the company to make better decisions, faster.
Responsibilities:
Use data to inform and influence the direction of team roadmaps and inform business decisions
Work with partner teams to define goals and identify metrics for improving existing features and new releases
Deepen our understanding of patterns/trends in user behavior, design experiments, and uncover new opportunities
Build dashboards and reports to drive awareness and understanding of metrics and experiment results
Work closely with Data Engineering and IT to author and develop core data sets that empower operational and exploratory analyses
Requirements:
3-8+ years of professional industry experience doing quantitative analysis
A proven track record of using analysis to impact key business or product decisions
The ability to clearly and effectively communicate the results of complex analyses
Experience writing production datasets in SQL/Hive OR building internal/production data tools for ETL, experimentation, or exploration in a scripting language (Python, R, etc.)
A solid grasp of basic statistical applications and methods (experimentation, probabilities, regression)
Experience in software engineering, data engineering, consulting, or academic research a plus
Slack is the collaboration hub of choice for companies of all sizes, all across the world. By using Slack, they ensure that the right people are always in the loop, that key information is always at their fingertips, and new team members can get up to speed easily. With Slack, teams are better connected.
Launched in February 2014, Slack is the fastest growing business application ever and is used by thousands of teams and millions of users every day. We currently have nine offices worldwide, in San Francisco, Vancouver, Dublin, Melbourne, New York, London, Tokyo, Toronto and Denver.
Ensuring a diverse and inclusive workplace where we learn from each other is core to Slack's values. We welcome people of different backgrounds, experiences, abilities and perspectives. We are an equal opportunity employer and a pleasant and supportive place to work.
Come do the best work of your life here at Slack.
Feb 01, 2019
Full-time
Slack is looking for experienced analysts to join our Analytics team and help drive the understanding, growth, and success of Slack. We have several roles open across different levels of seniority. You should have deep technical skills and be comfortable working in an evolving data infrastructure to help us make data-informed decisions. You will be scrappy, independent, and excited about having a big impact in a growing team.
You will partner closely with Sales, Marketing, and Product to provide visibility into our data, craft narratives, find insights, and provide recommendations. Analytics works closely with a group of cross-functional teams, such as Data Engineering & IT, to transform massive amounts of data into data products and insights that allow the rest of the company to make better decisions, faster.
Responsibilities:
Use data to inform and influence the direction of team roadmaps and inform business decisions
Work with partner teams to define goals and identify metrics for improving existing features and new releases
Deepen our understanding of patterns/trends in user behavior, design experiments, and uncover new opportunities
Build dashboards and reports to drive awareness and understanding of metrics and experiment results
Work closely with Data Engineering and IT to author and develop core data sets that empower operational and exploratory analyses
Requirements:
3-8+ years of professional industry experience doing quantitative analysis
A proven track record of using analysis to impact key business or product decisions
The ability to clearly and effectively communicate the results of complex analyses
Experience writing production datasets in SQL/Hive OR building internal/production data tools for ETL, experimentation, or exploration in a scripting language (Python, R, etc.)
A solid grasp of basic statistical applications and methods (experimentation, probabilities, regression)
Experience in software engineering, data engineering, consulting, or academic research a plus
Slack is the collaboration hub of choice for companies of all sizes, all across the world. By using Slack, they ensure that the right people are always in the loop, that key information is always at their fingertips, and new team members can get up to speed easily. With Slack, teams are better connected.
Launched in February 2014, Slack is the fastest growing business application ever and is used by thousands of teams and millions of users every day. We currently have nine offices worldwide, in San Francisco, Vancouver, Dublin, Melbourne, New York, London, Tokyo, Toronto and Denver.
Ensuring a diverse and inclusive workplace where we learn from each other is core to Slack's values. We welcome people of different backgrounds, experiences, abilities and perspectives. We are an equal opportunity employer and a pleasant and supportive place to work.
Come do the best work of your life here at Slack.
Hunt and eliminate malware within Stripe networks
The security concerns are ever-evolving, making the security team an extremely dynamic environment to work in. Our ultimate goal is to secure Stripe, secure Stripe users, and secure the Internet.
For the Threat Engineering Team, signature based detection is not enough - Stripe strives for world class security that recognizes abnormal through aggressive baselining of endpoints and servers.
Stripe’s threat engineering team recognizes that, in order to manage and defend against an attack, one must understand the attack and approaches each challenge with an adversary mindset. Our users trust us with some of their most sensitive information, and we make security a first-class consideration in everything we do.
You will:
Develop general techniques and frameworks that will enable other engineering teams to find flaws before they are introduced into production
Be a security subject matter expert and respond to any internal security engineering questions/request
Work with other teams to help architect solutions that are inherently secure
Perform penetration testing on our internal and external applications
Threat model existing applications
Perform reactive incident response when a security event occurs
Perform proactive research to detect new attack vectors
Architect and create frameworks that prevent current and future attack scenarios
Create and execute training exercises to advance developers’ security knowledge
Research, architect, and execute solutions that will advance internal security monitoring & controls
Our ideal candidate for this role:
Can write defensive, maintainable code that solves real-world problems for our users
Has previously held security role in professional environment
Has software engineering experience in production environment
Has a security-specific background
Has a knack for finding flaws in software and can efficiently communicate how to fix them
Has the ability to find creative ways of reducing risk of inherently insecure efforts
Can think about problems from an out-of-the box perspective
Can think like an attacker and preemptively determine how malicious actors will attack Stripe
What’s it like to work at Stripe?
Stripe is helping the internet fulfill its potential as a platform for economic progress by building software tools that accelerate global economic access and technological development. Stripe makes it easy to start, run and scale an internet business from anywhere in the world.
Stripe is, at its heart, an engineering company. To provide a missing pillar of core internet infrastructure, we hire people with a broad set of technical skills (and from a wide variety of backgrounds) who are ready to take on some of the most challenging problems in the industry – from reliably handling 100M API requests per day, to building adaptive machine learning as a result of years of data science and infrastructure work, and enabling entrepreneurs worldwide to start a global internet business.
We look at Stripe as a constant work in progress and the same is true of our people; for all of us, we believe the best is yet to come. We’re here to support each other in our curiosity and creativity – which we pursue through thoughtful discussion and knowledge-sharing among a diverse set of peers and colleagues.
We encourage all engineers to transition teams once every year and a half and also take on short-term projects with other teams across Stripe. This enables engineers to learn how different parts of Stripe work while also establishing stronger ties and cross-pollination between groups.
We contribute to existing open-source projects and the people working on them, and we release several tools as open-source.
We want to work in a company of warm, inclusive people who treat their colleagues exceptionally well. The kind of people who are committed to going out of their way to help other Stripes in the short-term and pushing them to improve over the long-term (by helping them to get better at what they do).
We’re a highly cross-functional organization and view that as part of the fun: we design our space to encourage as much collaboration as possible. We have long tables in the kitchen for a reason (to enable everyone to meet new people and learn from them). We also have a culture of transparency that we carry through to email communication, ensuring that Stripes all around the world have the information they need to make good local decisions.
In both our products and our people, we aim to reflect, represent and advocate for all of our users, globally. Our users transcend geography, culture and language; what we share, collectively, is a drive to create a fairer, more economically interconnected world.
Feb 01, 2019
Full-time
Hunt and eliminate malware within Stripe networks
The security concerns are ever-evolving, making the security team an extremely dynamic environment to work in. Our ultimate goal is to secure Stripe, secure Stripe users, and secure the Internet.
For the Threat Engineering Team, signature based detection is not enough - Stripe strives for world class security that recognizes abnormal through aggressive baselining of endpoints and servers.
Stripe’s threat engineering team recognizes that, in order to manage and defend against an attack, one must understand the attack and approaches each challenge with an adversary mindset. Our users trust us with some of their most sensitive information, and we make security a first-class consideration in everything we do.
You will:
Develop general techniques and frameworks that will enable other engineering teams to find flaws before they are introduced into production
Be a security subject matter expert and respond to any internal security engineering questions/request
Work with other teams to help architect solutions that are inherently secure
Perform penetration testing on our internal and external applications
Threat model existing applications
Perform reactive incident response when a security event occurs
Perform proactive research to detect new attack vectors
Architect and create frameworks that prevent current and future attack scenarios
Create and execute training exercises to advance developers’ security knowledge
Research, architect, and execute solutions that will advance internal security monitoring & controls
Our ideal candidate for this role:
Can write defensive, maintainable code that solves real-world problems for our users
Has previously held security role in professional environment
Has software engineering experience in production environment
Has a security-specific background
Has a knack for finding flaws in software and can efficiently communicate how to fix them
Has the ability to find creative ways of reducing risk of inherently insecure efforts
Can think about problems from an out-of-the box perspective
Can think like an attacker and preemptively determine how malicious actors will attack Stripe
What’s it like to work at Stripe?
Stripe is helping the internet fulfill its potential as a platform for economic progress by building software tools that accelerate global economic access and technological development. Stripe makes it easy to start, run and scale an internet business from anywhere in the world.
Stripe is, at its heart, an engineering company. To provide a missing pillar of core internet infrastructure, we hire people with a broad set of technical skills (and from a wide variety of backgrounds) who are ready to take on some of the most challenging problems in the industry – from reliably handling 100M API requests per day, to building adaptive machine learning as a result of years of data science and infrastructure work, and enabling entrepreneurs worldwide to start a global internet business.
We look at Stripe as a constant work in progress and the same is true of our people; for all of us, we believe the best is yet to come. We’re here to support each other in our curiosity and creativity – which we pursue through thoughtful discussion and knowledge-sharing among a diverse set of peers and colleagues.
We encourage all engineers to transition teams once every year and a half and also take on short-term projects with other teams across Stripe. This enables engineers to learn how different parts of Stripe work while also establishing stronger ties and cross-pollination between groups.
We contribute to existing open-source projects and the people working on them, and we release several tools as open-source.
We want to work in a company of warm, inclusive people who treat their colleagues exceptionally well. The kind of people who are committed to going out of their way to help other Stripes in the short-term and pushing them to improve over the long-term (by helping them to get better at what they do).
We’re a highly cross-functional organization and view that as part of the fun: we design our space to encourage as much collaboration as possible. We have long tables in the kitchen for a reason (to enable everyone to meet new people and learn from them). We also have a culture of transparency that we carry through to email communication, ensuring that Stripes all around the world have the information they need to make good local decisions.
In both our products and our people, we aim to reflect, represent and advocate for all of our users, globally. Our users transcend geography, culture and language; what we share, collectively, is a drive to create a fairer, more economically interconnected world.
