The Senior Data Analyst must be passionate about digging into data and understanding the stories the data is telling. You will analyze complex data sets, track and measure insights, build critical dashboard and draw key insights.
Major Responsibilities:
Leverage your project management expertise to create dashboards / visualizations (Plan=>Scope=>Design=>Author=>Implement). This process can include requirements gathering, data sufficiency exercise, sketch design, to dashboard authoring.
Work with partners and stakeholders to design and create user accepted dashboards. Bring value add contributions to the process of designed and authoring executive level dashboards / reports.
Design analytics and reporting deliverables, especially around data visualization best practices, and creation
Act as the data expert, leading the way in data discovery, both proactively and by request, to identify key insights and trends to help drive strategic recommendations
Perform data abstraction, cleansing, validation, modeling, interpretation and reporting.
Take data, understand it, process it, extract value from it, and communicate if visually / verbally to team members and key stakeholders throughout the organization.
Work closely with customers and IT teams to turn data into critical information and knowledge that can be used to make sound business decisions.
Deliver ad hoc reporting and analytics within an agreed-upon SLA.
Play an active role in business reviews, especially in reviewing analytical findings and in strategic planning discussions.
Ensure solutions meet the client’s needs, support the extraction of actionable information, and align with client objectives.
Provide consulting support on all data-related solutions (program design, report design, data feed design, data aggregation, etc.).
Qualifications:
Expertise in developing Tableau dashboards using best practices, required
Experience manipulating large data sets leveraging tools such as Hadoop and Data Wrangling and pulling data from data warehouses, marts and lakes.
Proficient knowledge of SQL, required
R, Python, TOAD and SQL workbench, a plus
Expertise in doing Root Cause Analysis and resolving performance bottlenecks
Excellent problem-solving and critical thinking skills required
Strong proficiency in all aspects of design, development and testing and best practices of Enterprise application and/or reporting implementations;
Strong proficiency in the design, development and/or maintenance of reporting systems and databases
Ability to interpret data to help in strategic decision making.
Self-directed who can interpret data to understand trends and derive meaningful business insights for senior executives with little oversight
Self-motivated with ability to work independently while also enjoying collaboration with cross-functional teams and other analysts
Effective communication skills and ability to translate numbers into a story
Professional, positive demeanor
Jun 11, 2019
Full-time
The Senior Data Analyst must be passionate about digging into data and understanding the stories the data is telling. You will analyze complex data sets, track and measure insights, build critical dashboard and draw key insights.
Major Responsibilities:
Leverage your project management expertise to create dashboards / visualizations (Plan=>Scope=>Design=>Author=>Implement). This process can include requirements gathering, data sufficiency exercise, sketch design, to dashboard authoring.
Work with partners and stakeholders to design and create user accepted dashboards. Bring value add contributions to the process of designed and authoring executive level dashboards / reports.
Design analytics and reporting deliverables, especially around data visualization best practices, and creation
Act as the data expert, leading the way in data discovery, both proactively and by request, to identify key insights and trends to help drive strategic recommendations
Perform data abstraction, cleansing, validation, modeling, interpretation and reporting.
Take data, understand it, process it, extract value from it, and communicate if visually / verbally to team members and key stakeholders throughout the organization.
Work closely with customers and IT teams to turn data into critical information and knowledge that can be used to make sound business decisions.
Deliver ad hoc reporting and analytics within an agreed-upon SLA.
Play an active role in business reviews, especially in reviewing analytical findings and in strategic planning discussions.
Ensure solutions meet the client’s needs, support the extraction of actionable information, and align with client objectives.
Provide consulting support on all data-related solutions (program design, report design, data feed design, data aggregation, etc.).
Qualifications:
Expertise in developing Tableau dashboards using best practices, required
Experience manipulating large data sets leveraging tools such as Hadoop and Data Wrangling and pulling data from data warehouses, marts and lakes.
Proficient knowledge of SQL, required
R, Python, TOAD and SQL workbench, a plus
Expertise in doing Root Cause Analysis and resolving performance bottlenecks
Excellent problem-solving and critical thinking skills required
Strong proficiency in all aspects of design, development and testing and best practices of Enterprise application and/or reporting implementations;
Strong proficiency in the design, development and/or maintenance of reporting systems and databases
Ability to interpret data to help in strategic decision making.
Self-directed who can interpret data to understand trends and derive meaningful business insights for senior executives with little oversight
Self-motivated with ability to work independently while also enjoying collaboration with cross-functional teams and other analysts
Effective communication skills and ability to translate numbers into a story
Professional, positive demeanor
Why E. & J. Gallo Winery?
Recognized by Glassdoor as a "Best Place to Work" two years in a row, we couldn't be prouder of our employees. We are the largest family-owned winery in the world with over 100 brands. We are committed to driving innovation, sustainability, and fostering a culture of collaboration. We look forward to having you join the team! Your Talent & Gallo | A Perfect Pairing
As a Statistician at E. & J. Gallo Winery, you will use a wide range of analysis techniques to impact the business across the winery. You will employ your exceptional technical and communication skills to design and influence research plans. You will enjoy the challenge and experience of working with a variety of different clients and customers, identifying opportunities to improve, and developing pride and confidence in your work.
What You Will Do
Diverse and Interesting Statistical Analysis
Independently conducts full data analysis and interpretation, providing actionable recommendations
Applies expertise with multiple statistical analysis methodologies such as experimental designs, segmentation, ANOVA, regression based modeling, mixed modeling, SEM, etc .
Project Management and Reporting
Consults with cross-functional partners such as Marketing, Digital Marketing, Shopper Marketing, Sales, Consumer Research, and Sensory to develop project objectives, experimental designs and executes project tasks
Leads internal and client-facing project meetings and presentations
Generates summaries that are useful to all levels of management in both business and technical areas
Data Management
Responsible for data integrity by examining outliers, missing values, expected ranges, skip patterns, etc.
Evaluates new applications and identifies opportunities for new data collection tools and sources
Monitors changes in our data ecosystem to evaluate the impact on current research and modeling strategies
What You Need
Ph.D. in a quantitative discipline which includes advanced data analysis (e.g. statistics, applied mathematics, physics, quantitative psychology, predictive analytics, chemistry, engineering, finance/economics, data science, computer science, etc.) OR Master of Science Degree in a quantitative discipline which includes advanced data analysis (e.g. statistics, applied mathematics, physics, quantitative psychology, predictive analytics, chemistry, engineering, finance/economics, data science, computer science, etc.) plus 2 years of statistics or marketing research experience reflecting increasing levels of responsibility OR Bachelor of Science Degree in a quantitative discipline which includes advanced data analysis (e.g. statistics, applied mathematics, physics, quantitative psychology, predictive analytics, chemistry, engineering, finance/economics, data science, computer science, etc.) plus 4 years of statistics or marketing research experience reflecting increasing levels of responsibility.
What Will Set You Apart
Ph.D. in Statistics or Marketing Research plus 2 years statistics or market research experience reflecting increasing levels of responsibility
Knowledge of statistical software such as SPSS, SAS, SQL, R, IRI Advantage Pro, Python, Tableau Sawtooth, and Unscrambler
Skilled in the use of MS Excel (templates, macros, pivot tables)
Strong oral and communication skills and ability to convey statistical concepts and results to non-technical audiences
Database modeling or programming experience
CPG or Alcohol Beverage Experience
Gallo does not sponsor for employment based visas for this position now or in the future.
May 31, 2019
Full-time
Why E. & J. Gallo Winery?
Recognized by Glassdoor as a "Best Place to Work" two years in a row, we couldn't be prouder of our employees. We are the largest family-owned winery in the world with over 100 brands. We are committed to driving innovation, sustainability, and fostering a culture of collaboration. We look forward to having you join the team! Your Talent & Gallo | A Perfect Pairing
As a Statistician at E. & J. Gallo Winery, you will use a wide range of analysis techniques to impact the business across the winery. You will employ your exceptional technical and communication skills to design and influence research plans. You will enjoy the challenge and experience of working with a variety of different clients and customers, identifying opportunities to improve, and developing pride and confidence in your work.
What You Will Do
Diverse and Interesting Statistical Analysis
Independently conducts full data analysis and interpretation, providing actionable recommendations
Applies expertise with multiple statistical analysis methodologies such as experimental designs, segmentation, ANOVA, regression based modeling, mixed modeling, SEM, etc .
Project Management and Reporting
Consults with cross-functional partners such as Marketing, Digital Marketing, Shopper Marketing, Sales, Consumer Research, and Sensory to develop project objectives, experimental designs and executes project tasks
Leads internal and client-facing project meetings and presentations
Generates summaries that are useful to all levels of management in both business and technical areas
Data Management
Responsible for data integrity by examining outliers, missing values, expected ranges, skip patterns, etc.
Evaluates new applications and identifies opportunities for new data collection tools and sources
Monitors changes in our data ecosystem to evaluate the impact on current research and modeling strategies
What You Need
Ph.D. in a quantitative discipline which includes advanced data analysis (e.g. statistics, applied mathematics, physics, quantitative psychology, predictive analytics, chemistry, engineering, finance/economics, data science, computer science, etc.) OR Master of Science Degree in a quantitative discipline which includes advanced data analysis (e.g. statistics, applied mathematics, physics, quantitative psychology, predictive analytics, chemistry, engineering, finance/economics, data science, computer science, etc.) plus 2 years of statistics or marketing research experience reflecting increasing levels of responsibility OR Bachelor of Science Degree in a quantitative discipline which includes advanced data analysis (e.g. statistics, applied mathematics, physics, quantitative psychology, predictive analytics, chemistry, engineering, finance/economics, data science, computer science, etc.) plus 4 years of statistics or marketing research experience reflecting increasing levels of responsibility.
What Will Set You Apart
Ph.D. in Statistics or Marketing Research plus 2 years statistics or market research experience reflecting increasing levels of responsibility
Knowledge of statistical software such as SPSS, SAS, SQL, R, IRI Advantage Pro, Python, Tableau Sawtooth, and Unscrambler
Skilled in the use of MS Excel (templates, macros, pivot tables)
Strong oral and communication skills and ability to convey statistical concepts and results to non-technical audiences
Database modeling or programming experience
CPG or Alcohol Beverage Experience
Gallo does not sponsor for employment based visas for this position now or in the future.
The transportation and logistics industry is in the midst of an exciting transformation.
The Sr Analyst within the Strategic Analytics group at Echo is responsible for turning the vast amounts of internal and external data into value for the organization. This includes sales and margin performance, operational efficiencies and optimizations, staff performance and turnover, marketing impact and ROI, and more.
This role uses coding and analytic techniques, including text mining, unstructured data parsing, descriptive and predictive modeling, machine learning, database mining and exploration, and R&D into new emerging techniques from academia and the private sector.
Job requirements:
Undergrad or graduate degree in analytics, mathematics, statistics, engineering, computer science, or natural sciences such as physics or chemistry.
Performing sophisticated analysis with unstructured or semi-structured data.
Experience coding in Python, R, VBA, NoSQL is a plus.
Able to manipulate complex relational databases using SQL.
Experience performing text analytics.
Awareness of advanced techniques and Big Data storage/manipulation/computation solutions, such as AWS Redshift, Google Cloud Big Query, Spark, Hadoop, MongoDB, or other.
Keen curiosity to pursue unanswered questions and quantify unexplored relationships in the data.
Data visualization abilities and interpretation of complex outputs into straightforward business recommendations.
All qualified applicants will receive consideration for employment without regard to age, race, color, religion, sex, sexual orientation, gender identity, national origin, status as a qualified individual with a disability, or Vietnam era or other protected veteran.
May 30, 2019
Full-time
The transportation and logistics industry is in the midst of an exciting transformation.
The Sr Analyst within the Strategic Analytics group at Echo is responsible for turning the vast amounts of internal and external data into value for the organization. This includes sales and margin performance, operational efficiencies and optimizations, staff performance and turnover, marketing impact and ROI, and more.
This role uses coding and analytic techniques, including text mining, unstructured data parsing, descriptive and predictive modeling, machine learning, database mining and exploration, and R&D into new emerging techniques from academia and the private sector.
Job requirements:
Undergrad or graduate degree in analytics, mathematics, statistics, engineering, computer science, or natural sciences such as physics or chemistry.
Performing sophisticated analysis with unstructured or semi-structured data.
Experience coding in Python, R, VBA, NoSQL is a plus.
Able to manipulate complex relational databases using SQL.
Experience performing text analytics.
Awareness of advanced techniques and Big Data storage/manipulation/computation solutions, such as AWS Redshift, Google Cloud Big Query, Spark, Hadoop, MongoDB, or other.
Keen curiosity to pursue unanswered questions and quantify unexplored relationships in the data.
Data visualization abilities and interpretation of complex outputs into straightforward business recommendations.
All qualified applicants will receive consideration for employment without regard to age, race, color, religion, sex, sexual orientation, gender identity, national origin, status as a qualified individual with a disability, or Vietnam era or other protected veteran.
Upstart is the first lending platform to leverage artificial intelligence and machine learning to price credit and automate the borrowing process. Our engineering and data science teams collaborate to use non-conventional variables at scale in an underwriting model that improves constantly. After exciting success over the past few years, Upstart is looking to double down on its competitive advantage by expanding its data science team!
Underwriting more accurately and using variables that no other lender considers are what allow us to give people the rates they deserve, so your role at Upstart will drastically impact our company's success.
Our current Data Scientists summarize some of their favorite aspects of our team as:
Having a direct impact on the company's success
Collaborative, intelligent, and open team
Mentorship, growth, and friendship
Leader committed to challenging and growing team members
Feeling safe asking for help when it’s necessary; feeling trusted to get the job done when it’s not
We hire thoughtful Data Scientists who are passionate and enjoy working in a very fast-paced environment. Because our challenges are so new, this person will need to have strong creative problem solving skills and the technical background to implement such solutions. If you think that this could be the right role for you, we would like to learn more about you.
Hiring Profile:
Strong academic credentials with a M.S. in Computer Science, Statistics, Data Science or related field with a preference for Ph.D.
Rigorous quantitative background
Comfort with programming (ideally in Python and R)
Intellectual curiosity balanced with humility
Predictive modeling experience is preferred
May 30, 2019
Full-time
Upstart is the first lending platform to leverage artificial intelligence and machine learning to price credit and automate the borrowing process. Our engineering and data science teams collaborate to use non-conventional variables at scale in an underwriting model that improves constantly. After exciting success over the past few years, Upstart is looking to double down on its competitive advantage by expanding its data science team!
Underwriting more accurately and using variables that no other lender considers are what allow us to give people the rates they deserve, so your role at Upstart will drastically impact our company's success.
Our current Data Scientists summarize some of their favorite aspects of our team as:
Having a direct impact on the company's success
Collaborative, intelligent, and open team
Mentorship, growth, and friendship
Leader committed to challenging and growing team members
Feeling safe asking for help when it’s necessary; feeling trusted to get the job done when it’s not
We hire thoughtful Data Scientists who are passionate and enjoy working in a very fast-paced environment. Because our challenges are so new, this person will need to have strong creative problem solving skills and the technical background to implement such solutions. If you think that this could be the right role for you, we would like to learn more about you.
Hiring Profile:
Strong academic credentials with a M.S. in Computer Science, Statistics, Data Science or related field with a preference for Ph.D.
Rigorous quantitative background
Comfort with programming (ideally in Python and R)
Intellectual curiosity balanced with humility
Predictive modeling experience is preferred
The Web Analytics Technical Implementation Manager will play a key role in ensuring proper tagging and reporting set-up to support our clients in accurately measuring the success of their digital assets, platforms and campaigns.
This person will be a subject matter expert on analytics implementation and testing.
One of the primary responsibilities of this role is to implement and validate Google tagging including technical configuration in Google Tag Manager – ensuring that tags fire properly and data flows so that reporting accurately captures the desired actions and behaviors.
This position can be remote. Full time direct or ongoing contract options.
Experience and Responsibilities
Proven track record of success with Implementing and managing Google Analytics tagging and configuring Google Tag Manager including but not limited to strong understanding of: data layers, tagging, variables, custom metric set up
Leads initiatives focused on implementation, customization, automation of data collection processes
Assure proper tracking implementation through an established QA testing process
Review data trends post-implementation to confirm accuracy and identify anomalies
Experience tracking behaviors and customized journeys
Experience working with customer experience platforms and/or marketing automation
Experience working with 3rd party trackers (DMC,LinkedIN, FB, Twitter, etc)
Maintain | Modify | Create Tableau dashboards for various business units
Assist Analytics in automating reporting and data requests (experience with API a plus – Python, R, SQL)
Validate and troubleshoot tagging & tracking issues as they occur – communicating status/next steps until resolution with all relevant stakeholders
Work with internal teams & partners in support of tagging needs/management (approvals) for eComm reporting, Paid advertising, testing (Optimize), etc.
Create and maintain tagging documentation (~20%)
Quantitative mindset, with a desire to work in a digital data-focused environment
Savvy with respect to technical concepts and workflows that underpin digital analytics, such as debugging tools (Charles or Firebug), first- vs third-party cookies and data encryption
Sample Tasks
Work with team on updating to hidden form fields and changing origins in both parent page and iframes
Fix decoding for Silverpop to reference Base64 code
Push decode SP value to GTM data layer
Provide recommendations on ReadyTalk API
Completed POC for send GA hits via Measurement Protocol API and Silverpop
Removed JS errors from GTM
Save cookie IDs to rsaconference.com domain
Grap SPs visitor Id and pass it on to GA/GTM custom dimension
Update GA custom dimension configuration for all properties
Test importing data from Silverpop using GA UID as key
May 21, 2019
Full-time
The Web Analytics Technical Implementation Manager will play a key role in ensuring proper tagging and reporting set-up to support our clients in accurately measuring the success of their digital assets, platforms and campaigns.
This person will be a subject matter expert on analytics implementation and testing.
One of the primary responsibilities of this role is to implement and validate Google tagging including technical configuration in Google Tag Manager – ensuring that tags fire properly and data flows so that reporting accurately captures the desired actions and behaviors.
This position can be remote. Full time direct or ongoing contract options.
Experience and Responsibilities
Proven track record of success with Implementing and managing Google Analytics tagging and configuring Google Tag Manager including but not limited to strong understanding of: data layers, tagging, variables, custom metric set up
Leads initiatives focused on implementation, customization, automation of data collection processes
Assure proper tracking implementation through an established QA testing process
Review data trends post-implementation to confirm accuracy and identify anomalies
Experience tracking behaviors and customized journeys
Experience working with customer experience platforms and/or marketing automation
Experience working with 3rd party trackers (DMC,LinkedIN, FB, Twitter, etc)
Maintain | Modify | Create Tableau dashboards for various business units
Assist Analytics in automating reporting and data requests (experience with API a plus – Python, R, SQL)
Validate and troubleshoot tagging & tracking issues as they occur – communicating status/next steps until resolution with all relevant stakeholders
Work with internal teams & partners in support of tagging needs/management (approvals) for eComm reporting, Paid advertising, testing (Optimize), etc.
Create and maintain tagging documentation (~20%)
Quantitative mindset, with a desire to work in a digital data-focused environment
Savvy with respect to technical concepts and workflows that underpin digital analytics, such as debugging tools (Charles or Firebug), first- vs third-party cookies and data encryption
Sample Tasks
Work with team on updating to hidden form fields and changing origins in both parent page and iframes
Fix decoding for Silverpop to reference Base64 code
Push decode SP value to GTM data layer
Provide recommendations on ReadyTalk API
Completed POC for send GA hits via Measurement Protocol API and Silverpop
Removed JS errors from GTM
Save cookie IDs to rsaconference.com domain
Grap SPs visitor Id and pass it on to GA/GTM custom dimension
Update GA custom dimension configuration for all properties
Test importing data from Silverpop using GA UID as key
“It takes people to make the dream a reality.” Walt was on to something when he said that, and it continues to ring true today. No matter the stage in your career, being a part of Walt Disney Parks & Resorts means being a part of a team where you help bring innovation to life through unsurpassed products, services and most importantly remarkable experiences. As a Cast Member, you are the steward and connection to our legacy and the backbone of our thriving innovations. Join our team and watch your dreams come true. Consumer Insights, Measurement, & Analytics (CIMA), part of the Walt Disney Parks and Resorts Global Marketing & Sales organization, informs strategy development and decision-making through holistic data integration, objective data analytics, and actionable recommendations. Within CIMA, the Consumer Insight team focuses on leveraging best practices in consumer and Guest feedback to improve experiences for all who choose Disney as a vacation destination. The Business Systems Specialist must possess a passion for data, systems and innovation. He/she will play a critical role in leveraging systems supporting internal partnerships to drive decision-making throughout the organization. The person must be comfortable working with partner teams, conducting both planned and ad hoc requests and efforts successfully through the Consumer Insight Data Services. The candidate must also ensure focus on data quality by following processes and continually innovate against the process and tools used to do this work.
Responsibilities:
This role is in support of an operational area and requires a minimum of 3 days of availability each week; including early morning, evening, weekend, and holiday availability.
Assist with processing of paper Disney Cruise Line (DCL) Guest Satisfaction Measurement (GSM) survey forms.
Accurately and efficiently order and prepare blank paper survey forms and coordinate regular pick up/delivery to DCL ships.
Responsible for processing, weighting and delivery of survey data sets to Disney Parks, Experiences and Products.
Provides support in delivery of data sets to all research clients.
Evaluates user needs, defines technical problems, and works with leadership/technical programming staff to determine solutions.
Assists clients in data mining solutions.
Provides support for defining quality assurance reporting system requirements, process improvements, efficiency and innovation.
Job requires flexibility to changing priorities and the ability to embrace technology changes.
Basic Qualifications:
Experience
Knowledge of Market Research Process
Proficiency in statistical mathematic reporting
Experience with numerical data
Minimum 2 years of experience in Statistical role or equivalent
Skills
Minimum two years of data processing experience or equivalent
Previous experience in an analytical department is highly preferred
Excellent problem solving/analytical skills and attention to detail is required
Demonstrated knowledge of statistical software (e.g., SPSS, SAS, etc.)
Demonstrated knowledge of Data Visualization tools such as Tableau
Highly developed computer knowledge skills including Microsoft Office-based applications, Excel macros, relational databases, Boolean logic, and familiarity with object oriented programming
Ability to work independently and complete assignments as a member of a team, and provide excellent customer service to internal and external customers.
Able to handle multiple tasks simultaneously and demonstrate excellent interpersonal skills
Demonstrate professionalism, enthusiasm, and patience for serving customers
Must be able to learn new tools and technologies as needed
Required Education:
Bachelor's degree or equivalent experience
Jun 19, 2019
Part-time
“It takes people to make the dream a reality.” Walt was on to something when he said that, and it continues to ring true today. No matter the stage in your career, being a part of Walt Disney Parks & Resorts means being a part of a team where you help bring innovation to life through unsurpassed products, services and most importantly remarkable experiences. As a Cast Member, you are the steward and connection to our legacy and the backbone of our thriving innovations. Join our team and watch your dreams come true. Consumer Insights, Measurement, & Analytics (CIMA), part of the Walt Disney Parks and Resorts Global Marketing & Sales organization, informs strategy development and decision-making through holistic data integration, objective data analytics, and actionable recommendations. Within CIMA, the Consumer Insight team focuses on leveraging best practices in consumer and Guest feedback to improve experiences for all who choose Disney as a vacation destination. The Business Systems Specialist must possess a passion for data, systems and innovation. He/she will play a critical role in leveraging systems supporting internal partnerships to drive decision-making throughout the organization. The person must be comfortable working with partner teams, conducting both planned and ad hoc requests and efforts successfully through the Consumer Insight Data Services. The candidate must also ensure focus on data quality by following processes and continually innovate against the process and tools used to do this work.
Responsibilities:
This role is in support of an operational area and requires a minimum of 3 days of availability each week; including early morning, evening, weekend, and holiday availability.
Assist with processing of paper Disney Cruise Line (DCL) Guest Satisfaction Measurement (GSM) survey forms.
Accurately and efficiently order and prepare blank paper survey forms and coordinate regular pick up/delivery to DCL ships.
Responsible for processing, weighting and delivery of survey data sets to Disney Parks, Experiences and Products.
Provides support in delivery of data sets to all research clients.
Evaluates user needs, defines technical problems, and works with leadership/technical programming staff to determine solutions.
Assists clients in data mining solutions.
Provides support for defining quality assurance reporting system requirements, process improvements, efficiency and innovation.
Job requires flexibility to changing priorities and the ability to embrace technology changes.
Basic Qualifications:
Experience
Knowledge of Market Research Process
Proficiency in statistical mathematic reporting
Experience with numerical data
Minimum 2 years of experience in Statistical role or equivalent
Skills
Minimum two years of data processing experience or equivalent
Previous experience in an analytical department is highly preferred
Excellent problem solving/analytical skills and attention to detail is required
Demonstrated knowledge of statistical software (e.g., SPSS, SAS, etc.)
Demonstrated knowledge of Data Visualization tools such as Tableau
Highly developed computer knowledge skills including Microsoft Office-based applications, Excel macros, relational databases, Boolean logic, and familiarity with object oriented programming
Ability to work independently and complete assignments as a member of a team, and provide excellent customer service to internal and external customers.
Able to handle multiple tasks simultaneously and demonstrate excellent interpersonal skills
Demonstrate professionalism, enthusiasm, and patience for serving customers
Must be able to learn new tools and technologies as needed
Required Education:
Bachelor's degree or equivalent experience
The Operations Analyst will support Walt Disney Parks & Resorts Health Services and be responsible for gathering data from multiple data sources that are related to Health Services Occupational Health and Wellness programming. Key responsibility will be to analyze data for trends, and present the data story to Health Services Leadership.
Responsibilities:
Analyze data from various sources using statistical models.
Perform the collection and analysis of data, by using observations, interviews, and surveys.
Produce visuals to effectively communicate study findings to business leaders.
Complete Daily, Weekly, and Quarterly system audits/reporting.
Create reporting and financial models.
Contribute to the planning of detailed studies of population health issues to discover ways to prevent them and evaluate effectiveness of interventions.
Provide contribution to health programs by participating in program planning, monitoring program progress, and doing data analysis.
Provide expertise in the design, management and evaluation of study protocols and health status questionnaires, sample selection, and analysis.
Conduct research to develop methodologies, instrumentation and procedures for study design, analyzing data and presenting findings.
Review current scientific literature.
Develop and test hypotheses about cast member populations as they relate to health and well-being.
Provide useful data and consultation to internal and external parties.
Use computer modeling techniques to assess the potential impact of disease and health changes in a given population.
Participate in broad-scale interdisciplinary projects over extended timeframes.
Support strategic initiatives for health and wellness.
Establish positive relationships with other cast members and stakeholders.
Ensure continuous improvement on all facets projects through innovation, and meeting timelines and benchmarks.
Basic Qualifications:
Possess strong analytical skills.
Strong interpersonal and communication skills.
Ability to partner with multiple business areas.
Ability to work flexibly and meet deadlines.
Experience with systems and tools including MySQL, MS Office (with a focus on Excel and Access), and other analytical and visualization tools (e. g. Tableau, EpiInfo)
Possess strong communications (speaking and writing) skills.
Critical thinking.
Detail oriented.
Foundational skills in math and statistics.
Preferred Qualifications:
3-5 Years of applicable experience in population and health care analytics
Required Education:
Bachelors Degree in Statistics, Epidemiology, or similar field
Preferred Education:
Master of Public Health with focus in Epidemiology
Jun 05, 2019
Part-time
The Operations Analyst will support Walt Disney Parks & Resorts Health Services and be responsible for gathering data from multiple data sources that are related to Health Services Occupational Health and Wellness programming. Key responsibility will be to analyze data for trends, and present the data story to Health Services Leadership.
Responsibilities:
Analyze data from various sources using statistical models.
Perform the collection and analysis of data, by using observations, interviews, and surveys.
Produce visuals to effectively communicate study findings to business leaders.
Complete Daily, Weekly, and Quarterly system audits/reporting.
Create reporting and financial models.
Contribute to the planning of detailed studies of population health issues to discover ways to prevent them and evaluate effectiveness of interventions.
Provide contribution to health programs by participating in program planning, monitoring program progress, and doing data analysis.
Provide expertise in the design, management and evaluation of study protocols and health status questionnaires, sample selection, and analysis.
Conduct research to develop methodologies, instrumentation and procedures for study design, analyzing data and presenting findings.
Review current scientific literature.
Develop and test hypotheses about cast member populations as they relate to health and well-being.
Provide useful data and consultation to internal and external parties.
Use computer modeling techniques to assess the potential impact of disease and health changes in a given population.
Participate in broad-scale interdisciplinary projects over extended timeframes.
Support strategic initiatives for health and wellness.
Establish positive relationships with other cast members and stakeholders.
Ensure continuous improvement on all facets projects through innovation, and meeting timelines and benchmarks.
Basic Qualifications:
Possess strong analytical skills.
Strong interpersonal and communication skills.
Ability to partner with multiple business areas.
Ability to work flexibly and meet deadlines.
Experience with systems and tools including MySQL, MS Office (with a focus on Excel and Access), and other analytical and visualization tools (e. g. Tableau, EpiInfo)
Possess strong communications (speaking and writing) skills.
Critical thinking.
Detail oriented.
Foundational skills in math and statistics.
Preferred Qualifications:
3-5 Years of applicable experience in population and health care analytics
Required Education:
Bachelors Degree in Statistics, Epidemiology, or similar field
Preferred Education:
Master of Public Health with focus in Epidemiology
We have created a new Big Data Platforms group within Disney Direct-To-Consumer and International (DTCI) technology with the skills, drive, and passion to innovate, create, and succeed in enabling a Direct to Consumer Strategy for ESPN, Disney and ABC products. We are here to disrupt and start a cultural revolution that can lead a revolution in the application of data and analytics across The Walt Disney Company, focused on Content Personalization/Recommendation, Deep User Understanding, and Audience Segmentation for Linear to Digital Ad Sales, and Analytics.
We need an experienced Software Engineer who drive multiple data initiatives applying innovative architecture that can scale in the cloud. We are looking for a creative and talented individual who loves to design a scalable platform which scale at peta-byte level and extract value from both structured and unstructured real-time data. Specifically, we are looking for a technology leader to build a highly scalable and extensible Big Data platform which enables collection, storage, modeling, and analysis of massive data sets from numerous channels.
You will also build a self-serve machine learning (and deep learning) pipeline for multiple data scientists develop, test, deploy, a/b test models on top of the data platform you are responsible for. You must be self-driven to continuously evaluate new technologies, innovate and deliver solutions for business-critical applications with little to no oversight from management team. The internet-scale platforms that you design and build will be a core assets in the delivering the highest quality content to over 150MM+ consumers on monthly basis. This is an opportunity to fundamentally evolve how DTCI delivers content and monetizes our audiences.
Responsibilities:
Build cool things – Build software across our entire cutting-edge data platform, including data processing, storage, and serving large-scale web APIs, with awesome cutting-edge technologies operating in real-time with high-availability.
Harness curiosity – Change how we think, act, and utilize our data by performing exploratory and quantitative analytics, data mining, and discovery.
Innovate and inspire – Think of new ways to help make our data platform more scalable, resilient and reliable and then work across our team to put your ideas into action.
Think at scale - Lead the transformation of a peta-byte scale batch based processing platform to a near real-time streaming platform using technologies such as Apache Kafka, Cassandra, Spark and other open source frameworks.
Have pride – Ensure performance isn’t our weakness by implementing and refining robust data processing, REST services, RPC (in an out of HTTP), and caching technologies.
Grow with us – Help us stay ahead of the curve by working closely with data architects, stream processing specialists, API developers, our DevOps team, and analysts to design systems which can scale elastically in ways which make other groups jealous.
Lead and coach – Mentor other software engineers by developing re-usable frameworks. Review design and code produced by other engineers.
ML First - Provide expert level advice to data scientists, data engineers, and operations to deliver high quality analytics via machine learning and deep learning via data pipelines and APIs.
Build and Support – Embrace the DevOps mentality to build, deploy and support applications in cloud with minimal help from other teams.
Basic Qualifications:
Not your first rodeo – Have 6+ years of experience developing with a mix of languages (Java, Scala, Python etc.) and open source frameworks to implement data ingest, processing, and serving technologies in near-time basis.
Data and API ninja –You are also very handy with big data framework such as Hadoop & Apache Spark, No-SQL systems such as Cassandra or DynamoDB, Streaming technologies such as Apache Kafka; Understand reactive programming and dependency injection such as Spring to develop REST services.
Have a technology toolbox – Hands on experience with newer technologies relevant to the data space such as Spark, Kafka, Apache Druid (or any other OLAP databases).
Cloud First - Plenty of experience with developing and deploying in a cloud native environment preferably AWS cloud.
Embrace ML – Work with data scientists to operationalize machine learning models and build apps to make use of power of machine learning.
Problem solver – Enjoy new and meaningful technology or business challenges which require you to think and respond quickly.
Passion and creativity – Are passionate about data, technology, & creative innovation
Preferred Qualifications:
Prior experience building internet scale platforms – handling Peta- byte scale data, operationalizing clusters with hundreds of compute nodes in cloud environment.
Experience in operationalizing Machine Learning workflows to scale will be a huge plus as well.
Experience with Content Personalization/Recommendation, Audience Segmentation for Linear to Digital Ad Sales, and/or Analytics
Experience with open source such as Spring, Hadoop, Spark, Kafka, Druid, Pilosa and Yarn/Kubernetes.
Experience in working with Data Scientists to operationalize machine learning models.
Proficiency with agile development methodologies shipping features every two weeks. It would be awesome if you have a robust portfolio on Github and / or open source contributions you are proud to share.
Required Education:
Bachelor’s degree or better in Computer Science or a related technical field or equivalent job experience
Preferred Education:
Masters in Computer Science or similar is preferred
Jun 02, 2019
Full-time
We have created a new Big Data Platforms group within Disney Direct-To-Consumer and International (DTCI) technology with the skills, drive, and passion to innovate, create, and succeed in enabling a Direct to Consumer Strategy for ESPN, Disney and ABC products. We are here to disrupt and start a cultural revolution that can lead a revolution in the application of data and analytics across The Walt Disney Company, focused on Content Personalization/Recommendation, Deep User Understanding, and Audience Segmentation for Linear to Digital Ad Sales, and Analytics.
We need an experienced Software Engineer who drive multiple data initiatives applying innovative architecture that can scale in the cloud. We are looking for a creative and talented individual who loves to design a scalable platform which scale at peta-byte level and extract value from both structured and unstructured real-time data. Specifically, we are looking for a technology leader to build a highly scalable and extensible Big Data platform which enables collection, storage, modeling, and analysis of massive data sets from numerous channels.
You will also build a self-serve machine learning (and deep learning) pipeline for multiple data scientists develop, test, deploy, a/b test models on top of the data platform you are responsible for. You must be self-driven to continuously evaluate new technologies, innovate and deliver solutions for business-critical applications with little to no oversight from management team. The internet-scale platforms that you design and build will be a core assets in the delivering the highest quality content to over 150MM+ consumers on monthly basis. This is an opportunity to fundamentally evolve how DTCI delivers content and monetizes our audiences.
Responsibilities:
Build cool things – Build software across our entire cutting-edge data platform, including data processing, storage, and serving large-scale web APIs, with awesome cutting-edge technologies operating in real-time with high-availability.
Harness curiosity – Change how we think, act, and utilize our data by performing exploratory and quantitative analytics, data mining, and discovery.
Innovate and inspire – Think of new ways to help make our data platform more scalable, resilient and reliable and then work across our team to put your ideas into action.
Think at scale - Lead the transformation of a peta-byte scale batch based processing platform to a near real-time streaming platform using technologies such as Apache Kafka, Cassandra, Spark and other open source frameworks.
Have pride – Ensure performance isn’t our weakness by implementing and refining robust data processing, REST services, RPC (in an out of HTTP), and caching technologies.
Grow with us – Help us stay ahead of the curve by working closely with data architects, stream processing specialists, API developers, our DevOps team, and analysts to design systems which can scale elastically in ways which make other groups jealous.
Lead and coach – Mentor other software engineers by developing re-usable frameworks. Review design and code produced by other engineers.
ML First - Provide expert level advice to data scientists, data engineers, and operations to deliver high quality analytics via machine learning and deep learning via data pipelines and APIs.
Build and Support – Embrace the DevOps mentality to build, deploy and support applications in cloud with minimal help from other teams.
Basic Qualifications:
Not your first rodeo – Have 6+ years of experience developing with a mix of languages (Java, Scala, Python etc.) and open source frameworks to implement data ingest, processing, and serving technologies in near-time basis.
Data and API ninja –You are also very handy with big data framework such as Hadoop & Apache Spark, No-SQL systems such as Cassandra or DynamoDB, Streaming technologies such as Apache Kafka; Understand reactive programming and dependency injection such as Spring to develop REST services.
Have a technology toolbox – Hands on experience with newer technologies relevant to the data space such as Spark, Kafka, Apache Druid (or any other OLAP databases).
Cloud First - Plenty of experience with developing and deploying in a cloud native environment preferably AWS cloud.
Embrace ML – Work with data scientists to operationalize machine learning models and build apps to make use of power of machine learning.
Problem solver – Enjoy new and meaningful technology or business challenges which require you to think and respond quickly.
Passion and creativity – Are passionate about data, technology, & creative innovation
Preferred Qualifications:
Prior experience building internet scale platforms – handling Peta- byte scale data, operationalizing clusters with hundreds of compute nodes in cloud environment.
Experience in operationalizing Machine Learning workflows to scale will be a huge plus as well.
Experience with Content Personalization/Recommendation, Audience Segmentation for Linear to Digital Ad Sales, and/or Analytics
Experience with open source such as Spring, Hadoop, Spark, Kafka, Druid, Pilosa and Yarn/Kubernetes.
Experience in working with Data Scientists to operationalize machine learning models.
Proficiency with agile development methodologies shipping features every two weeks. It would be awesome if you have a robust portfolio on Github and / or open source contributions you are proud to share.
Required Education:
Bachelor’s degree or better in Computer Science or a related technical field or equivalent job experience
Preferred Education:
Masters in Computer Science or similar is preferred
Disney Streaming Services is a place for the creative and the bold. Whether New York City, San Francisco, Manchester or Amsterdam, we provide opportunities to elevate your career and transform the industry. Software Engineers at Disney Streaming Services develop premium digital media products for Major League Baseball and our partners. The products we build, such as ESPN+, MLB.TV and NHL.TV are paving the way for the next-generation media and sport technologies, including the upcoming Disney+ offering. Our Engineering team for Disney Streaming Services is headquartered in the Chelsea area of New York City. Other office locations also include the SoMo area of San Francisco, CA and several international locations. At Disney Streaming Services, data is central to measuring all aspects of the business, and critical to its operations and growth. The data engineering team is responsible for collecting, analyzing and distributing data using public cloud and open source technologies and offers transparency into customer behavior and business performance. If you are interested in joining Disney Streaming Services in the pursuit of not only crafting new media products but enjoying the products you build, we are interested in hearing from you.
Responsibilities:
Collaborate with product teams, data analysts and data scientists to design and build data-forward solutions
Design and build and deploy streaming and batch data pipelines capable of processing and storing petabytes of data quickly and reliably
Integrate with a variety of data metric providers ranging from advertising, web analytics, and consumer devices
Build and maintain dimensional data warehouses in support of business intelligence tools
Develop data catalogs and data validations to ensure clarity and correctness of key business metrics
Drive and maintain a culture of quality, innovation and experimentation
Coach data engineers best practices and technical concepts of building large scale data platforms
Basic Qualifications:
3-5 years of experience developing in object oriented Python
Experience deploying and running AWS-based data solutions and familiar with tools such as Cloud Formation, IAM, Athena, and Kinesis
Experience engineering big-data solutions using technologies like EMR, S3, Spark and an in-depth understanding of data partitioning and sharding techniques
Familiar with metadata management, data lineage, and principles of data governance
Experience loading and querying cloud-hosted databases such as Redshift and Snowflake
Building streaming data pipelines using Kafka, Spark, or Flink
Preferred Qualifications:
Familiarity with binary data serialization formats such as Parquet, Avro, and Thrift
Experience deploying data notebook and analytic environments such as Jupyter and Databricks
Knowledge of the Python data ecosystem using pandas and numpy
Experience building and deploying ML pipelines: training models, feature development, regression testing
Experience with graph-based data workflows using Apache Airflow
Required Education:
Bachelor’s degree in Computer Science or related field or equivalent work experience
Jun 02, 2019
Full-time
Disney Streaming Services is a place for the creative and the bold. Whether New York City, San Francisco, Manchester or Amsterdam, we provide opportunities to elevate your career and transform the industry. Software Engineers at Disney Streaming Services develop premium digital media products for Major League Baseball and our partners. The products we build, such as ESPN+, MLB.TV and NHL.TV are paving the way for the next-generation media and sport technologies, including the upcoming Disney+ offering. Our Engineering team for Disney Streaming Services is headquartered in the Chelsea area of New York City. Other office locations also include the SoMo area of San Francisco, CA and several international locations. At Disney Streaming Services, data is central to measuring all aspects of the business, and critical to its operations and growth. The data engineering team is responsible for collecting, analyzing and distributing data using public cloud and open source technologies and offers transparency into customer behavior and business performance. If you are interested in joining Disney Streaming Services in the pursuit of not only crafting new media products but enjoying the products you build, we are interested in hearing from you.
Responsibilities:
Collaborate with product teams, data analysts and data scientists to design and build data-forward solutions
Design and build and deploy streaming and batch data pipelines capable of processing and storing petabytes of data quickly and reliably
Integrate with a variety of data metric providers ranging from advertising, web analytics, and consumer devices
Build and maintain dimensional data warehouses in support of business intelligence tools
Develop data catalogs and data validations to ensure clarity and correctness of key business metrics
Drive and maintain a culture of quality, innovation and experimentation
Coach data engineers best practices and technical concepts of building large scale data platforms
Basic Qualifications:
3-5 years of experience developing in object oriented Python
Experience deploying and running AWS-based data solutions and familiar with tools such as Cloud Formation, IAM, Athena, and Kinesis
Experience engineering big-data solutions using technologies like EMR, S3, Spark and an in-depth understanding of data partitioning and sharding techniques
Familiar with metadata management, data lineage, and principles of data governance
Experience loading and querying cloud-hosted databases such as Redshift and Snowflake
Building streaming data pipelines using Kafka, Spark, or Flink
Preferred Qualifications:
Familiarity with binary data serialization formats such as Parquet, Avro, and Thrift
Experience deploying data notebook and analytic environments such as Jupyter and Databricks
Knowledge of the Python data ecosystem using pandas and numpy
Experience building and deploying ML pipelines: training models, feature development, regression testing
Experience with graph-based data workflows using Apache Airflow
Required Education:
Bachelor’s degree in Computer Science or related field or equivalent work experience
We have created a new Big Data Platforms group within Disney Direct-To-Consumer and International (DTCI) technology with the skills, drive, and passion to innovate, create, and succeed in enabling a Direct to Consumer Strategy for ESPN, Disney and ABC products. We are here to disrupt and start a cultural revolution that can lead a revolution in the application of data and analytics across The Walt Disney Company, focused on Content Personalization/Recommendation, Deep User Understanding, and Audience Segmentation for Linear to Digital Ad Sales, and Analytics.
We need an experienced Software Engineer who drive multiple data initiatives applying innovative architecture that can scale in the cloud. We are looking for a creative and talented individual who loves to design a scalable platform which scale at peta-byte level and extract value from both structured and unstructured real-time data. Specifically, we are looking for a technology leader to build a highly scalable and extensible Big Data platform which enables collection, storage, modeling, and analysis of massive data sets from numerous channels.
You will also build a self-serve machine learning (and deep learning) pipeline for multiple data scientists develop, test, deploy, a/b test models on top of the data platform you are responsible for. You must be self-driven to continuously evaluate new technologies, innovate and deliver solutions for business-critical applications with little to no oversight from management team. The internet-scale platforms that you design and build will be a core assets in the delivering the highest quality content to over 150MM+ consumers on monthly basis. This is an opportunity to fundamentally evolve how DTCI delivers content and monetizes our audiences.
Responsibilities:
Build cool things – Build software across our entire cutting-edge data platform, including data processing, storage, and serving large-scale web APIs, with awesome cutting-edge technologies operating in real-time with high-availability.
Harness curiosity – Change how we think, act, and utilize our data by performing exploratory and quantitative analytics, data mining, and discovery.
Innovate and inspire – Think of new ways to help make our data platform more scalable, resilient and reliable and then work across our team to put your ideas into action.
Think at scale - Lead the transformation of a peta-byte scale batch based processing platform to a near real-time streaming platform using technologies such as Apache Kafka, Cassandra, Spark and other open source frameworks.
Have pride – Ensure performance isn’t our weakness by implementing and refining robust data processing, REST services, RPC (in an out of HTTP), and caching technologies.
Grow with us – Help us stay ahead of the curve by working closely with data architects, stream processing specialists, API developers, our DevOps team, and analysts to design systems which can scale elastically in ways which make other groups jealous.
Lead and coach – Mentor other software engineers by developing re-usable frameworks. Review design and code produced by other engineers.
ML First - Provide expert level advice to data scientists, data engineers, and operations to deliver high quality analytics via machine learning and deep learning via data pipelines and APIs.
Build and Support – Embrace the DevOps mentality to build, deploy and support applications in cloud with minimal help from other teams.
Basic Qualifications:
Not your first rodeo – Have 6+ years of experience developing with a mix of languages (Java, Scala, Python etc.) and open source frameworks to implement data ingest, processing, and serving technologies in near-time basis.
Data and API ninja –You are also very handy with big data framework such as Hadoop & Apache Spark, No-SQL systems such as Cassandra or DynamoDB, Streaming technologies such as Apache Kafka; Understand reactive programming and dependency injection such as Spring to develop REST services.
Have a technology toolbox – Hands on experience with newer technologies relevant to the data space such as Spark, Kafka, Apache Druid (or any other OLAP databases).
Cloud First – Plenty of experience with developing and deploying in a cloud native environment preferably AWS cloud.
Embrace ML – Work with data scientists to operationalize machine learning models and build apps to make use of power of machine learning.
Problem solver – Enjoy new and meaningful technology or business challenges which require you to think and respond quickly.
Passion and creativity – Are passionate about data, technology, & creative innovation
Preferred Qualifications:
Prior experience building internet scale platforms – handling Peta- byte scale data, operationalizing clusters with hundreds of compute nodes in cloud environment.
Experience in operationalizing Machine Learning workflows to scale will be a huge plus as well.
Experience with Content Personalization/Recommendation, Audience Segmentation for Linear to Digital Ad Sales, and/or Analytics
Experience with open source such as Spring, Hadoop, Spark, Kafka, Druid, Pilosa and Yarn/Kubernetes.
Experience in working with Data Scientists to operationalize machine learning models.
Proficiency with agile development methodologies shipping features every two weeks. It would be awesome if you have a robust portfolio on Github and / or open source contributions you are proud to share.
Required Education:
Bachelor’s degree or better in Computer Science or a related technical field or equivalent job experience
Preferred Education:
Masters in Computer Science or similar is preferred
Jun 02, 2019
Full-time
We have created a new Big Data Platforms group within Disney Direct-To-Consumer and International (DTCI) technology with the skills, drive, and passion to innovate, create, and succeed in enabling a Direct to Consumer Strategy for ESPN, Disney and ABC products. We are here to disrupt and start a cultural revolution that can lead a revolution in the application of data and analytics across The Walt Disney Company, focused on Content Personalization/Recommendation, Deep User Understanding, and Audience Segmentation for Linear to Digital Ad Sales, and Analytics.
We need an experienced Software Engineer who drive multiple data initiatives applying innovative architecture that can scale in the cloud. We are looking for a creative and talented individual who loves to design a scalable platform which scale at peta-byte level and extract value from both structured and unstructured real-time data. Specifically, we are looking for a technology leader to build a highly scalable and extensible Big Data platform which enables collection, storage, modeling, and analysis of massive data sets from numerous channels.
You will also build a self-serve machine learning (and deep learning) pipeline for multiple data scientists develop, test, deploy, a/b test models on top of the data platform you are responsible for. You must be self-driven to continuously evaluate new technologies, innovate and deliver solutions for business-critical applications with little to no oversight from management team. The internet-scale platforms that you design and build will be a core assets in the delivering the highest quality content to over 150MM+ consumers on monthly basis. This is an opportunity to fundamentally evolve how DTCI delivers content and monetizes our audiences.
Responsibilities:
Build cool things – Build software across our entire cutting-edge data platform, including data processing, storage, and serving large-scale web APIs, with awesome cutting-edge technologies operating in real-time with high-availability.
Harness curiosity – Change how we think, act, and utilize our data by performing exploratory and quantitative analytics, data mining, and discovery.
Innovate and inspire – Think of new ways to help make our data platform more scalable, resilient and reliable and then work across our team to put your ideas into action.
Think at scale - Lead the transformation of a peta-byte scale batch based processing platform to a near real-time streaming platform using technologies such as Apache Kafka, Cassandra, Spark and other open source frameworks.
Have pride – Ensure performance isn’t our weakness by implementing and refining robust data processing, REST services, RPC (in an out of HTTP), and caching technologies.
Grow with us – Help us stay ahead of the curve by working closely with data architects, stream processing specialists, API developers, our DevOps team, and analysts to design systems which can scale elastically in ways which make other groups jealous.
Lead and coach – Mentor other software engineers by developing re-usable frameworks. Review design and code produced by other engineers.
ML First - Provide expert level advice to data scientists, data engineers, and operations to deliver high quality analytics via machine learning and deep learning via data pipelines and APIs.
Build and Support – Embrace the DevOps mentality to build, deploy and support applications in cloud with minimal help from other teams.
Basic Qualifications:
Not your first rodeo – Have 6+ years of experience developing with a mix of languages (Java, Scala, Python etc.) and open source frameworks to implement data ingest, processing, and serving technologies in near-time basis.
Data and API ninja –You are also very handy with big data framework such as Hadoop & Apache Spark, No-SQL systems such as Cassandra or DynamoDB, Streaming technologies such as Apache Kafka; Understand reactive programming and dependency injection such as Spring to develop REST services.
Have a technology toolbox – Hands on experience with newer technologies relevant to the data space such as Spark, Kafka, Apache Druid (or any other OLAP databases).
Cloud First – Plenty of experience with developing and deploying in a cloud native environment preferably AWS cloud.
Embrace ML – Work with data scientists to operationalize machine learning models and build apps to make use of power of machine learning.
Problem solver – Enjoy new and meaningful technology or business challenges which require you to think and respond quickly.
Passion and creativity – Are passionate about data, technology, & creative innovation
Preferred Qualifications:
Prior experience building internet scale platforms – handling Peta- byte scale data, operationalizing clusters with hundreds of compute nodes in cloud environment.
Experience in operationalizing Machine Learning workflows to scale will be a huge plus as well.
Experience with Content Personalization/Recommendation, Audience Segmentation for Linear to Digital Ad Sales, and/or Analytics
Experience with open source such as Spring, Hadoop, Spark, Kafka, Druid, Pilosa and Yarn/Kubernetes.
Experience in working with Data Scientists to operationalize machine learning models.
Proficiency with agile development methodologies shipping features every two weeks. It would be awesome if you have a robust portfolio on Github and / or open source contributions you are proud to share.
Required Education:
Bachelor’s degree or better in Computer Science or a related technical field or equivalent job experience
Preferred Education:
Masters in Computer Science or similar is preferred
As an IA/BigData Developer: you will create custom batch-oriented and real-time streaming data pipelines working within the Hadoop ecosystem, creating new data workloads/applications and also migrating applications from On-Premise Ecosystem to Cloud Data lakes. Implement, troubleshoots, and optimizes distributed solutions based on modern big data technologies like Hive, Hadoop, Spark, Elastic Search, Kafka , etc. to solve large scale processing problems in a Cloud cluster enviornment. Ensure proper data governance policies are followed by implementing defining project specific quality checks, classification, etc. Apply technical expertise to challenging programming and design problems. Strong communication, interpersonal and teaming skills, including the ability to work effectively in agile / scrum environment. Demonstrated interest and ability to quickly learn new technologies.
Responsibilities:
Proficient understanding of distributed computing principles
Experience developing Data storage processing and streaming flows using technologies like Spark, HDFS, Yarn and Hadoop
Experience with various messaging systems, such as Kafka or RabbitMQ
Good knowledge of Big Data querying tools, such as Pig or Hive
Good understanding of Lambda Architecture, along with its advantages and drawbacks
Experience with integration of data from multiple data sources
Ability to solve any ongoing issues with operating the cluster
Experience with scripting languages and automation of processes
Proven track record of development accomplishments in highly collaborative environment
Translate complex functional and technical requirements into detailed design
Be passionate about solving customer problems and develop solutions that result in a passionate customer/community following
Basic Qualifications:
Experience working with Cloud as infrastructure (AWS/Azure) or other Cloud Platform based on IaaS and PaaS Solutions
2+ years’ hands-on Experience with various messaging systems, such as Kafka, Spark data manipulation, pipeline creation.
2-5 years software development experience in JAVA, Javascript, SQL
NoSQL DB (Dynamo DB/Mongo DB knowledge is helpful)
Strong understanding and experience with Apache technologies like Hadoop, KAFKA, Spark, Kerberos.
Experience with Artificial Intelligence and Machine Learning is a plus
Experience using with Code Management/CICD tools like GITHub, Jenkins is useful
Prior experience with automation is helpful
Prior experience working in a Linux/Unix enviornment is helpful
Prior experience working in an enterprise technology environment is helpful
Jun 01, 2019
Full-time
As an IA/BigData Developer: you will create custom batch-oriented and real-time streaming data pipelines working within the Hadoop ecosystem, creating new data workloads/applications and also migrating applications from On-Premise Ecosystem to Cloud Data lakes. Implement, troubleshoots, and optimizes distributed solutions based on modern big data technologies like Hive, Hadoop, Spark, Elastic Search, Kafka , etc. to solve large scale processing problems in a Cloud cluster enviornment. Ensure proper data governance policies are followed by implementing defining project specific quality checks, classification, etc. Apply technical expertise to challenging programming and design problems. Strong communication, interpersonal and teaming skills, including the ability to work effectively in agile / scrum environment. Demonstrated interest and ability to quickly learn new technologies.
Responsibilities:
Proficient understanding of distributed computing principles
Experience developing Data storage processing and streaming flows using technologies like Spark, HDFS, Yarn and Hadoop
Experience with various messaging systems, such as Kafka or RabbitMQ
Good knowledge of Big Data querying tools, such as Pig or Hive
Good understanding of Lambda Architecture, along with its advantages and drawbacks
Experience with integration of data from multiple data sources
Ability to solve any ongoing issues with operating the cluster
Experience with scripting languages and automation of processes
Proven track record of development accomplishments in highly collaborative environment
Translate complex functional and technical requirements into detailed design
Be passionate about solving customer problems and develop solutions that result in a passionate customer/community following
Basic Qualifications:
Experience working with Cloud as infrastructure (AWS/Azure) or other Cloud Platform based on IaaS and PaaS Solutions
2+ years’ hands-on Experience with various messaging systems, such as Kafka, Spark data manipulation, pipeline creation.
2-5 years software development experience in JAVA, Javascript, SQL
NoSQL DB (Dynamo DB/Mongo DB knowledge is helpful)
Strong understanding and experience with Apache technologies like Hadoop, KAFKA, Spark, Kerberos.
Experience with Artificial Intelligence and Machine Learning is a plus
Experience using with Code Management/CICD tools like GITHub, Jenkins is useful
Prior experience with automation is helpful
Prior experience working in a Linux/Unix enviornment is helpful
Prior experience working in an enterprise technology environment is helpful
Comprised of Disney’s international media businesses and the Company’s various streaming services, the Direct-to-Consumer and International segment aligns technology, content and distribution platforms to expand the Company’s global footprint and deliver world-class, personalized entertainment experiences to consumers around the world. This segment is responsible for The Walt Disney Company’s direct-to-consumer businesses globally, including the ESPN+ sports streaming service, programmed in partnership with ESPN; the upcoming Disney-branded direct-to-consumer streaming service; and the Company’s ownership stake in Hulu. As part of the Direct-to-Consumer and International segment, Disney Streaming Services, developer of the ESPN+ and Disney-branded streaming platforms, oversees all consumer-facing digital technology and products across the Company. We are seeking a Senior Data Analyst who will focus on analyzing subscriber retention and engagement. Collaborating across marketing, product, data engineering, data science and business teams, this position will design and implement reporting that enables internal clients to access, explore and monitor data, as well as perform analysis and share underlying trends and insights to help teams have a better understanding of the ESPN+ and Disney+ subscriber, audience behavior and engagement drivers.
Responsibilities:
Experimentation: Develop test plans, define success metrics, and ensure accurate results methodologically, technically, and statistically.
Goaling and KPIs: Work “full-stack” to define KPIs and goal metrics with XFN stakeholders, forecast outcomes, and measure pacing against those targets.
Business Performance Reporting, Visualization, and Regression Management: Be the primary partner for cross-functional stakeholders to understand performance of the platform. When a metric is ahead or behind expectations, dig in to drive meaningful, actionable insights that help the business performance improve or double-down on success.
Deep-Dive Analysis: Analyze user behavioral data to identify patterns, uncover opportunities, and create common understanding of how people are interacting with the platform and content.
Forecasting, and Opportunity Sizing: Both to set goals and help evaluate potential opportunities, this analyst will be tasked with forecasting and opportunity sizing. This will help business stakeholders evaluate trade-offs in different approaches, and create targets for driving business performance.
Partnership: Partner closely with business stakeholders to identify and unlock opportunities, and with other data teams to improve platform capabilities around data modeling, testing platforms, data visualization, and data architecture.
Basic Qualifications:
4+ years of analytical experience.
2+ years work experience using SQL
Experience with Python/R or other statistical programming language a plus
Familiarity with data exploration and data visualization tools like Tableau, Looker, Chartio, etc.
Understanding of statistics concepts (e.g., hypothesis testing, regression analysis).
Ability to think strategically, analyze and interpret market and consumer information.
Strong communication skills, as well as written and verbal presentation skills.
Degree in an analytical field.
May 31, 2019
Full-time
Comprised of Disney’s international media businesses and the Company’s various streaming services, the Direct-to-Consumer and International segment aligns technology, content and distribution platforms to expand the Company’s global footprint and deliver world-class, personalized entertainment experiences to consumers around the world. This segment is responsible for The Walt Disney Company’s direct-to-consumer businesses globally, including the ESPN+ sports streaming service, programmed in partnership with ESPN; the upcoming Disney-branded direct-to-consumer streaming service; and the Company’s ownership stake in Hulu. As part of the Direct-to-Consumer and International segment, Disney Streaming Services, developer of the ESPN+ and Disney-branded streaming platforms, oversees all consumer-facing digital technology and products across the Company. We are seeking a Senior Data Analyst who will focus on analyzing subscriber retention and engagement. Collaborating across marketing, product, data engineering, data science and business teams, this position will design and implement reporting that enables internal clients to access, explore and monitor data, as well as perform analysis and share underlying trends and insights to help teams have a better understanding of the ESPN+ and Disney+ subscriber, audience behavior and engagement drivers.
Responsibilities:
Experimentation: Develop test plans, define success metrics, and ensure accurate results methodologically, technically, and statistically.
Goaling and KPIs: Work “full-stack” to define KPIs and goal metrics with XFN stakeholders, forecast outcomes, and measure pacing against those targets.
Business Performance Reporting, Visualization, and Regression Management: Be the primary partner for cross-functional stakeholders to understand performance of the platform. When a metric is ahead or behind expectations, dig in to drive meaningful, actionable insights that help the business performance improve or double-down on success.
Deep-Dive Analysis: Analyze user behavioral data to identify patterns, uncover opportunities, and create common understanding of how people are interacting with the platform and content.
Forecasting, and Opportunity Sizing: Both to set goals and help evaluate potential opportunities, this analyst will be tasked with forecasting and opportunity sizing. This will help business stakeholders evaluate trade-offs in different approaches, and create targets for driving business performance.
Partnership: Partner closely with business stakeholders to identify and unlock opportunities, and with other data teams to improve platform capabilities around data modeling, testing platforms, data visualization, and data architecture.
Basic Qualifications:
4+ years of analytical experience.
2+ years work experience using SQL
Experience with Python/R or other statistical programming language a plus
Familiarity with data exploration and data visualization tools like Tableau, Looker, Chartio, etc.
Understanding of statistics concepts (e.g., hypothesis testing, regression analysis).
Ability to think strategically, analyze and interpret market and consumer information.
Strong communication skills, as well as written and verbal presentation skills.
Degree in an analytical field.
At Disney, we are storytellers. We make the impossible, possible. We do this through utilizing and developing cutting- edge technology and pushing the envelope to bring stories to life through our movies, products, interactive games, parks and resorts, and media networks. Now is your chance to join our talented team that delivers unparalleled creative content to audiences around the world. At Walt Disney Television, you’ll help us tell stories that touch millions of people around the globe and new ways for us to connect with the world. Now is your opportunity to unleash your skills.
We Are…
The Advanced Analytics team within WDT Research is made up of data scientists with a variety of expertise, ranging from data engineering to machine learning to data visualization.
Responsibilities:
A Day in the Life…
You will support the Advanced Analytics team within the Walt Disney Television Research team. Leveraging tools like Tableau, SQL, R, and Python, you will assist in building out dashboards that automate existing reports, creating visualizations that allow business users to dive deeper into data, perform analysis to improve marketing campaign performance, and much more!
Basic Qualifications:
What You Bring to the Role…
Strong analytical and problem solving skills
Demonstrated experience using SQL to manage large multi-dimensional data sets
Experience with Python and/or R
Proficiency in developing Tableau dashboards
Strong oral and written communication skills
Experience collecting & analyzing data and reporting on the results
Strong attention to detail
Proficiency in Microsoft Excel including advanced formulas
Strong sense of responsibility, ownership, and pride in delivering quality results
Preferred Qualifications:
Experience building machine learning models
Previous experience in News and/or Entertainment, analyzing app behavior
Required Education:
Currently pursuing (or recently graduated with) a Master's degree in Data Science, Statistics, Mathematics, Operations Research, Physics or other related quantitative field
GPA of 3.0 or higher
Additional Information:
Must be enrolled in a college/university taking at least one class in the semester/quarter (spring/fall) prior to participation in the internship program OR must have graduated from a college/university within the past six (6) months OR currently participating in a Disney College Program or Disney Professional Internship
Must be at least 18 years of age
Must not have completed one year of continual employment on a Disney internship or program.
Must possess unrestricted work authorization
Current Active Disney cast members must meet Professional Internship transfer guidelines (for Walt Disney World cast members this is no more than four points and one reprimand in the last six months; for Disneyland cast members this is six months of consecutive service and a performance record clear of any disciplinary issues (warnings, suspensions, etc.) for at least six months)
Program Dates: Interns must be fully available from September 2019 through December 2019. Must be able to work 40 hours a week, Monday through Friday.
Required Materials: Resume and transcripts must be uploaded at time of online application.
Transportation: Interns must have reliable transportation to get to and from work for the duration of their internship program.
Housing: Interns must provide their own housing for the duration of their internship program.
May 30, 2019
Internship
At Disney, we are storytellers. We make the impossible, possible. We do this through utilizing and developing cutting- edge technology and pushing the envelope to bring stories to life through our movies, products, interactive games, parks and resorts, and media networks. Now is your chance to join our talented team that delivers unparalleled creative content to audiences around the world. At Walt Disney Television, you’ll help us tell stories that touch millions of people around the globe and new ways for us to connect with the world. Now is your opportunity to unleash your skills.
We Are…
The Advanced Analytics team within WDT Research is made up of data scientists with a variety of expertise, ranging from data engineering to machine learning to data visualization.
Responsibilities:
A Day in the Life…
You will support the Advanced Analytics team within the Walt Disney Television Research team. Leveraging tools like Tableau, SQL, R, and Python, you will assist in building out dashboards that automate existing reports, creating visualizations that allow business users to dive deeper into data, perform analysis to improve marketing campaign performance, and much more!
Basic Qualifications:
What You Bring to the Role…
Strong analytical and problem solving skills
Demonstrated experience using SQL to manage large multi-dimensional data sets
Experience with Python and/or R
Proficiency in developing Tableau dashboards
Strong oral and written communication skills
Experience collecting & analyzing data and reporting on the results
Strong attention to detail
Proficiency in Microsoft Excel including advanced formulas
Strong sense of responsibility, ownership, and pride in delivering quality results
Preferred Qualifications:
Experience building machine learning models
Previous experience in News and/or Entertainment, analyzing app behavior
Required Education:
Currently pursuing (or recently graduated with) a Master's degree in Data Science, Statistics, Mathematics, Operations Research, Physics or other related quantitative field
GPA of 3.0 or higher
Additional Information:
Must be enrolled in a college/university taking at least one class in the semester/quarter (spring/fall) prior to participation in the internship program OR must have graduated from a college/university within the past six (6) months OR currently participating in a Disney College Program or Disney Professional Internship
Must be at least 18 years of age
Must not have completed one year of continual employment on a Disney internship or program.
Must possess unrestricted work authorization
Current Active Disney cast members must meet Professional Internship transfer guidelines (for Walt Disney World cast members this is no more than four points and one reprimand in the last six months; for Disneyland cast members this is six months of consecutive service and a performance record clear of any disciplinary issues (warnings, suspensions, etc.) for at least six months)
Program Dates: Interns must be fully available from September 2019 through December 2019. Must be able to work 40 hours a week, Monday through Friday.
Required Materials: Resume and transcripts must be uploaded at time of online application.
Transportation: Interns must have reliable transportation to get to and from work for the duration of their internship program.
Housing: Interns must provide their own housing for the duration of their internship program.
Interning with the ABC News Research team gives a good idea of what it means to be an analyst in the television program research industry. Our team asks – What makes up the programs content? How does the production team format a program to best display content? Ultimately we hope to answer – How do these factors translate into ratings performance? And what segment of the population makes up a program’s audience? Our team works mostly with producers of ABC News program to best provide them with an accurate picture of how their programming performs.
Responsibilities:
A Day in the Life:
Analyzing audience data and maintaining program data
Creating, analyzing and distributing Daily Time Period Reports, Final Weekly Reports and Weekly Minute by Minute reports
Participating in News and Sales Development Intern Project
Basic Qualifications:
What You Bring to the Role:
Strong analytical and problem solving skills
Strong proficiency in Microsoft Excel and PowerPoint
Experience gathering, analyzing, and interpreting large sets of data and reporting on the results
Demonstrated interest in News and/or Media
Strong time management and organization skills
Strong attention to detail and ability to prepare analyses under time sensitive deadlines
Excellent oral and written communication skills
Preferred Qualifications:
Proficiency in analysis of Nielsen data and use of software such as NPower, NNTV, and similar systems
Familiarity with Tableau or similar data visualization tools
Previous experience in an analytical field, preferably in News and/or Media
Required Education:
Junior, Senior (or recently graduated) with a Bachelor’s degree a degree in Statistics, Data Analytics, Economics, Mathematics, Industrial Engineering, Computer Science or other related quantitative field
GPA of 3.0 or higher
Additional Information:
Must be enrolled in a college/university taking at least one class in the semester/quarter (spring/fall) prior to participation in the internship program OR must have graduated from a college/university within the past six (6) months OR currently participating in a Disney College Program or Disney Professional Internship
Must be at least 18 years of age
Must not have completed one year of continual employment on a Disney internship or program.
Must possess unrestricted work authorization
Current Active Disney cast members must meet Professional Internship transfer guidelines (for Walt Disney World cast members this is no more than four points and one reprimand in the last six months; for Disneyland cast members this is six months of consecutive service and a performance record clear of any disciplinary issues (warnings, suspensions, etc.) for at least six months)
Program Dates: Interns must be fully available from September through December 2019. Must be able to work 40 hours a week, Monday through Friday.
Required Materials: Resume and transcripts must be uploaded at time of online application.
Transportation: Interns must have reliable transportation to get to and from work for the duration of their internship program.
Housing: Interns must provide their own housing for the duration of their internship program.
May 30, 2019
Internship
Interning with the ABC News Research team gives a good idea of what it means to be an analyst in the television program research industry. Our team asks – What makes up the programs content? How does the production team format a program to best display content? Ultimately we hope to answer – How do these factors translate into ratings performance? And what segment of the population makes up a program’s audience? Our team works mostly with producers of ABC News program to best provide them with an accurate picture of how their programming performs.
Responsibilities:
A Day in the Life:
Analyzing audience data and maintaining program data
Creating, analyzing and distributing Daily Time Period Reports, Final Weekly Reports and Weekly Minute by Minute reports
Participating in News and Sales Development Intern Project
Basic Qualifications:
What You Bring to the Role:
Strong analytical and problem solving skills
Strong proficiency in Microsoft Excel and PowerPoint
Experience gathering, analyzing, and interpreting large sets of data and reporting on the results
Demonstrated interest in News and/or Media
Strong time management and organization skills
Strong attention to detail and ability to prepare analyses under time sensitive deadlines
Excellent oral and written communication skills
Preferred Qualifications:
Proficiency in analysis of Nielsen data and use of software such as NPower, NNTV, and similar systems
Familiarity with Tableau or similar data visualization tools
Previous experience in an analytical field, preferably in News and/or Media
Required Education:
Junior, Senior (or recently graduated) with a Bachelor’s degree a degree in Statistics, Data Analytics, Economics, Mathematics, Industrial Engineering, Computer Science or other related quantitative field
GPA of 3.0 or higher
Additional Information:
Must be enrolled in a college/university taking at least one class in the semester/quarter (spring/fall) prior to participation in the internship program OR must have graduated from a college/university within the past six (6) months OR currently participating in a Disney College Program or Disney Professional Internship
Must be at least 18 years of age
Must not have completed one year of continual employment on a Disney internship or program.
Must possess unrestricted work authorization
Current Active Disney cast members must meet Professional Internship transfer guidelines (for Walt Disney World cast members this is no more than four points and one reprimand in the last six months; for Disneyland cast members this is six months of consecutive service and a performance record clear of any disciplinary issues (warnings, suspensions, etc.) for at least six months)
Program Dates: Interns must be fully available from September through December 2019. Must be able to work 40 hours a week, Monday through Friday.
Required Materials: Resume and transcripts must be uploaded at time of online application.
Transportation: Interns must have reliable transportation to get to and from work for the duration of their internship program.
Housing: Interns must provide their own housing for the duration of their internship program.
Consumer Insights, Measurement, & Analytics (CIMA) is a team within Walt Disney Parks & Resorts (WDP&R) Global Marketing & Sales that is focused on inspiring consumer-centric, data-driven, high return decision making that leverages insights and relevant data at the core of every business decision. This role within CIMA will coordinate efforts to influence Marketing and Media spend to generate the highest Return on Investment possible and influence and inform Marketing strategy development and enterprise-wide executive-level decision-making by measuring, analyzing, synthesizing, and interpreting a broad spectrum of data. The focus of this role will be Disney Cruise Line, Adventures by Disney, and Aulani, but may expand to take on additional businesses as needed.
Responsibilities:
Lead analytic efforts to assess Marketing initiatives and develop a better understanding of marketing effectiveness and follow emerging trends in media measurement and media mix modeling.
This position will help the organization in evaluating marketing campaign performance, researching industry trends, proactively identifying and solving opportunities for value-added analysis, developing points of view to drive results, work closely with partners that build media mix models, drive scenario planning leveraging MROI insights, track key indicators of marketing, media, and business performance, and framing recommendations for leadership.
The successful candidate will have a mix of marketing and analytic experience along with demonstrated ability with having connected the dots between desired marketing campaign / business outcomes and actual results to make actionable recommendations to improve performance.
The position will partner with a spectrum of teams from across the WDP&R organization to ensure all relevant organizational goals and implications are appropriately considered.
A successful candidate will have strong relationship skills and be able to effectively analyze and integrate results from across the broader CIMA team as well as key partner areas within and outside Global Marketing & Sales, including Marketing & Sales Strategy, Global Media Strategy, Digital Marketing, WDP&R Online, Pricing, Planning & Forecasting, and Finance.
Basic Qualifications:
Minimum four (4) years experience in analytics, business planning or similar role, preferably within the travel industry
Marketing knowledge or experience
Solid analytical and technical problem solving skills, including strong knowledge of statistics and data mining
Demonstrated ability to effectively handle multiple tasks simultaneously
Demonstrated advanced proficiency in analytic software applications such as Excel, Tableau and/or SAS
Demonstrated excellent interpersonal skills, including ability to ask questions to gain understanding, partner with others and deal with differing points of view
Ability to collaborate in a team environment and with a variety of stakeholders at all levels
Creative problem-solving skills, with the ability to think strategically and act tactically
Demonstrated attention to detail and focus on excellence in work product delivery
Ability to work well in a fast-paced business environment and display professionalism and confidence in challenging situations
Ability to approach work with high energy and a results-oriented mindset
Ability to identify and handle issues proactively and decisively with limited direction and oversight while also communicating consistently to executive leadership
Preferred Qualifications:
Experience working with digital and traditional media effectiveness data
Experience working in or with Marketing teams
Strong influencing and negotiating skills
Demonstrated ability to develop and deliver persuasive presentations of complex business issues to senior executives
Demonstrated ability to quickly gain a conceptual understanding of a complex situation and establish immediate credibility
Required Education:
Bachelor’s Degree (or equivalent) with preferred concentration in Business, Marketing, Economics, Statistics, Finance, Industrial Engineering, Operations Research, Data Mining, or similar field
Preferred Education:
MBA or Master's Degree in an analytic field
May 25, 2019
Full-time
Consumer Insights, Measurement, & Analytics (CIMA) is a team within Walt Disney Parks & Resorts (WDP&R) Global Marketing & Sales that is focused on inspiring consumer-centric, data-driven, high return decision making that leverages insights and relevant data at the core of every business decision. This role within CIMA will coordinate efforts to influence Marketing and Media spend to generate the highest Return on Investment possible and influence and inform Marketing strategy development and enterprise-wide executive-level decision-making by measuring, analyzing, synthesizing, and interpreting a broad spectrum of data. The focus of this role will be Disney Cruise Line, Adventures by Disney, and Aulani, but may expand to take on additional businesses as needed.
Responsibilities:
Lead analytic efforts to assess Marketing initiatives and develop a better understanding of marketing effectiveness and follow emerging trends in media measurement and media mix modeling.
This position will help the organization in evaluating marketing campaign performance, researching industry trends, proactively identifying and solving opportunities for value-added analysis, developing points of view to drive results, work closely with partners that build media mix models, drive scenario planning leveraging MROI insights, track key indicators of marketing, media, and business performance, and framing recommendations for leadership.
The successful candidate will have a mix of marketing and analytic experience along with demonstrated ability with having connected the dots between desired marketing campaign / business outcomes and actual results to make actionable recommendations to improve performance.
The position will partner with a spectrum of teams from across the WDP&R organization to ensure all relevant organizational goals and implications are appropriately considered.
A successful candidate will have strong relationship skills and be able to effectively analyze and integrate results from across the broader CIMA team as well as key partner areas within and outside Global Marketing & Sales, including Marketing & Sales Strategy, Global Media Strategy, Digital Marketing, WDP&R Online, Pricing, Planning & Forecasting, and Finance.
Basic Qualifications:
Minimum four (4) years experience in analytics, business planning or similar role, preferably within the travel industry
Marketing knowledge or experience
Solid analytical and technical problem solving skills, including strong knowledge of statistics and data mining
Demonstrated ability to effectively handle multiple tasks simultaneously
Demonstrated advanced proficiency in analytic software applications such as Excel, Tableau and/or SAS
Demonstrated excellent interpersonal skills, including ability to ask questions to gain understanding, partner with others and deal with differing points of view
Ability to collaborate in a team environment and with a variety of stakeholders at all levels
Creative problem-solving skills, with the ability to think strategically and act tactically
Demonstrated attention to detail and focus on excellence in work product delivery
Ability to work well in a fast-paced business environment and display professionalism and confidence in challenging situations
Ability to approach work with high energy and a results-oriented mindset
Ability to identify and handle issues proactively and decisively with limited direction and oversight while also communicating consistently to executive leadership
Preferred Qualifications:
Experience working with digital and traditional media effectiveness data
Experience working in or with Marketing teams
Strong influencing and negotiating skills
Demonstrated ability to develop and deliver persuasive presentations of complex business issues to senior executives
Demonstrated ability to quickly gain a conceptual understanding of a complex situation and establish immediate credibility
Required Education:
Bachelor’s Degree (or equivalent) with preferred concentration in Business, Marketing, Economics, Statistics, Finance, Industrial Engineering, Operations Research, Data Mining, or similar field
Preferred Education:
MBA or Master's Degree in an analytic field
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 & analytics function will drive advanced analytics and actionable insights to help drive Hilton's performance.
What will I be doing?
The Data Science Team serves as internal advanced analytics consultants to key functions across Hilton's business, bringing predictive and prescriptive analytics through Machine Language (ML) and Artificial Intelligence (AI). The team consists of data scientists, advanced analytics modelers, and data engineers, working closely with other Data & Analytics (DNA) teams, as well as Product Team partners.
Working with the Senior Director, Data Science, you will be directly influencing the creation and delivery of advanced analytics modules and data science services in a big data environment. You will be responsible for serving as the primary resource for defining and recommending analytics application architecture, data frameworks, database structures, as well as monitoring and addressing application and database performance, issues, and problems.
More specifically, you will:
Work closely with business, technical and data science teams to capture, analyze and understand business requirements, translating activities and business objectives into analytical codes for application in a production scale environment.
Architect, document, develop, code, and test advanced analytics models into scalable advanced analytics solutions in a big data environment.
Partner collaboratively with other functional teams to access data elements, understanding the data being analyzed and identifying improvement opportunities for the data ingestion process.
Facilitate and identify repeatable testing strategies for measuring results produced by analytics models.
Contribute insights and solutions regarding database storage and optimization.
Develop database design and architecture documentation.
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:
Self-starter, well organized, and an aggressive teammate willing to take ownership of responsibilities with a high level of positive energy and drive
Excellent time management and project management skills that contribute to leading multiple priorities, working well under time constraints and effectively handling concurrent demands to prioritize responsibilities
Effective communicator, collaborator, influencer and solution seeker across a variety of opinions
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 experience in data engineering, data architecture, and/or data analytics
One (1) year of hands-on experience in architecting, designing and implementing advanced analytics models, large-scale optimization, and machine learning algorithms for scalable production environments
One (1) year of experience in a full life-cycle analytics code environment, including development, deployment, and maintenance efforts involving distributed data sets
Experience with Python, Spark/Scala, Java, C/C++ and SQL, Unix Programming
Experience with Hadoop, Hive, Spark and MySQL
Experience with AWS Cloud Computing and Architecture
It would be advantageous in this position for you to demonstrate the following capabilities and distinctions:
MA/MS Master's Degree
AWS Certifications
Experience in Internet of Things (IoT) analytics model development involving sensors and connected devices
Experience in ETL management, SQL/NoSQL platforms, Apache product (NiFi, KafKa) and data warehousing technologies (Snowflake, Redshift)
Exposure to information security, networking, and data governance
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
May 04, 2019
Full-time
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 & analytics function will drive advanced analytics and actionable insights to help drive Hilton's performance.
What will I be doing?
The Data Science Team serves as internal advanced analytics consultants to key functions across Hilton's business, bringing predictive and prescriptive analytics through Machine Language (ML) and Artificial Intelligence (AI). The team consists of data scientists, advanced analytics modelers, and data engineers, working closely with other Data & Analytics (DNA) teams, as well as Product Team partners.
Working with the Senior Director, Data Science, you will be directly influencing the creation and delivery of advanced analytics modules and data science services in a big data environment. You will be responsible for serving as the primary resource for defining and recommending analytics application architecture, data frameworks, database structures, as well as monitoring and addressing application and database performance, issues, and problems.
More specifically, you will:
Work closely with business, technical and data science teams to capture, analyze and understand business requirements, translating activities and business objectives into analytical codes for application in a production scale environment.
Architect, document, develop, code, and test advanced analytics models into scalable advanced analytics solutions in a big data environment.
Partner collaboratively with other functional teams to access data elements, understanding the data being analyzed and identifying improvement opportunities for the data ingestion process.
Facilitate and identify repeatable testing strategies for measuring results produced by analytics models.
Contribute insights and solutions regarding database storage and optimization.
Develop database design and architecture documentation.
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:
Self-starter, well organized, and an aggressive teammate willing to take ownership of responsibilities with a high level of positive energy and drive
Excellent time management and project management skills that contribute to leading multiple priorities, working well under time constraints and effectively handling concurrent demands to prioritize responsibilities
Effective communicator, collaborator, influencer and solution seeker across a variety of opinions
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 experience in data engineering, data architecture, and/or data analytics
One (1) year of hands-on experience in architecting, designing and implementing advanced analytics models, large-scale optimization, and machine learning algorithms for scalable production environments
One (1) year of experience in a full life-cycle analytics code environment, including development, deployment, and maintenance efforts involving distributed data sets
Experience with Python, Spark/Scala, Java, C/C++ and SQL, Unix Programming
Experience with Hadoop, Hive, Spark and MySQL
Experience with AWS Cloud Computing and Architecture
It would be advantageous in this position for you to demonstrate the following capabilities and distinctions:
MA/MS Master's Degree
AWS Certifications
Experience in Internet of Things (IoT) analytics model development involving sensors and connected devices
Experience in ETL management, SQL/NoSQL platforms, Apache product (NiFi, KafKa) and data warehousing technologies (Snowflake, Redshift)
Exposure to information security, networking, and data governance
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
The JetBlue Travel Products Data Analyst reports directly to the GM of Data Engineering and is responsible for interpreting data and analyzing results using advanced techniques, running live experiments and presenting findings to stakeholders. The Data Analyst will be working with public and private datasets of different data types. They will also filter and clean the data, identify and analyze trends along with working with data engineers and scientists to ensure identified trends are implemented to enable JetBlue Travel Products to become a digital disruptor.
The Data Analyst can change priorities and focus to meet business demands, excels when working on complex projects, is motivated to deliver results, and exhibits the JetBlue values of Safety, Caring, Integrity, Fun, and Passion.
Essential Responsibilities
Build and prototype analysis pipelines in order to provide insights at scale.
Make business recommendations with effective presentations of findings at multiple levels of stakeholders through visual displays of quantitative information.
Develop comprehensive understanding of data structures and metrics, advocating for changes that will improve product adoption and customer conversion.
Run live experiments that drive key product decisions.
Work with data engineers to embed the research into production pipelines.
Partner with product management and marketing teams to identify opportunities, envision and design technology products.
Assist with creating the data infrastructure and analytics environments.
Participate in the DevOps practice as it pertains to data team.
Partner with JetBlue Tech Ventures to identify, monitor, learn, experiment and share information about emerging technology that is relevant to JetBlue Travel Products.
Other duties as assigned.
Minimum Experience and Qualifications
Bachelor’s Degree in Computer Science or related technical field or equivalent practical experience with demonstrated capability to perform job responsibilities through four (4) previous years of experience and education.
One (1) years’ experience in an Analyst role.
Good understanding of software engineering environments and standards.
Experience managing Service Level Agreements (SLA’s) Interacting daily with people at different levels within the organization, including developing and maintaining ongoing relationships.
Pass a ten (10) year background check and pre-employment drug test.
Legally eligible to work in the country in which the position is located.
Proficient in Python with numpy, pandas.
Proficient with Jupyter notebooks, Datalab notebooks.
Proficient in linear algebra and statistics.
Familiar with DataStudio, Looker, Tableau.
Familiar with basic SQL for structured and unstructured data.
Familiar with cloud technologies, SAAS, IAAS.
Familiar with ML concepts.
Preferred Experience and Qualifications
Maintaining a public profile and building relationships throughout the organization.
Three (3) years’ experience in technology roles.
Experience in writing software in one or more languages such as Java, Python, Go and/or JavaScript.
Experience architecting, developing software, or internet scale production-grade Big Data solutions in virtualized environments such as Amazon Web Services, Azure and Google Cloud Platform.
Crewmember Expectations:
Regular attendance and punctuality.
Potential need to work flexible hours and be available to respond on short-notice.
Well-groomed and able to maintain a professional appearance.
When working or traveling on JetBlue flights, and if time permits, all capable crewmembers are asked to assist with light cleaning of the aircraft.
Organizational fit for the JetBlue culture, that is, exhibit the JetBlue values of Safety, Caring, Integrity, Passion, and Fun.
Equipment:
Computer and other office equipment.
Physical Effort:
Generally not required, or up to 10 pounds occasionally, 0 pounds frequently. (Sedentary)
Disclaimer: The above statements are intended to describe the general nature and level of work being performed by the crewmember(s) assigned to this position. They are not intended to be an exhaustive list of all responsibilities, duties, and skills required of individuals in this position. Position Expectations may be subject to change as the needs of the organization change.
JetBlue Airways Corp. is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, marital status, veteran status, sexual orientation, gender identity or expression, disability status, pregnancy, genetic information, citizenship status or any other characteristic protected by law. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.
May 04, 2019
Full-time
The JetBlue Travel Products Data Analyst reports directly to the GM of Data Engineering and is responsible for interpreting data and analyzing results using advanced techniques, running live experiments and presenting findings to stakeholders. The Data Analyst will be working with public and private datasets of different data types. They will also filter and clean the data, identify and analyze trends along with working with data engineers and scientists to ensure identified trends are implemented to enable JetBlue Travel Products to become a digital disruptor.
The Data Analyst can change priorities and focus to meet business demands, excels when working on complex projects, is motivated to deliver results, and exhibits the JetBlue values of Safety, Caring, Integrity, Fun, and Passion.
Essential Responsibilities
Build and prototype analysis pipelines in order to provide insights at scale.
Make business recommendations with effective presentations of findings at multiple levels of stakeholders through visual displays of quantitative information.
Develop comprehensive understanding of data structures and metrics, advocating for changes that will improve product adoption and customer conversion.
Run live experiments that drive key product decisions.
Work with data engineers to embed the research into production pipelines.
Partner with product management and marketing teams to identify opportunities, envision and design technology products.
Assist with creating the data infrastructure and analytics environments.
Participate in the DevOps practice as it pertains to data team.
Partner with JetBlue Tech Ventures to identify, monitor, learn, experiment and share information about emerging technology that is relevant to JetBlue Travel Products.
Other duties as assigned.
Minimum Experience and Qualifications
Bachelor’s Degree in Computer Science or related technical field or equivalent practical experience with demonstrated capability to perform job responsibilities through four (4) previous years of experience and education.
One (1) years’ experience in an Analyst role.
Good understanding of software engineering environments and standards.
Experience managing Service Level Agreements (SLA’s) Interacting daily with people at different levels within the organization, including developing and maintaining ongoing relationships.
Pass a ten (10) year background check and pre-employment drug test.
Legally eligible to work in the country in which the position is located.
Proficient in Python with numpy, pandas.
Proficient with Jupyter notebooks, Datalab notebooks.
Proficient in linear algebra and statistics.
Familiar with DataStudio, Looker, Tableau.
Familiar with basic SQL for structured and unstructured data.
Familiar with cloud technologies, SAAS, IAAS.
Familiar with ML concepts.
Preferred Experience and Qualifications
Maintaining a public profile and building relationships throughout the organization.
Three (3) years’ experience in technology roles.
Experience in writing software in one or more languages such as Java, Python, Go and/or JavaScript.
Experience architecting, developing software, or internet scale production-grade Big Data solutions in virtualized environments such as Amazon Web Services, Azure and Google Cloud Platform.
Crewmember Expectations:
Regular attendance and punctuality.
Potential need to work flexible hours and be available to respond on short-notice.
Well-groomed and able to maintain a professional appearance.
When working or traveling on JetBlue flights, and if time permits, all capable crewmembers are asked to assist with light cleaning of the aircraft.
Organizational fit for the JetBlue culture, that is, exhibit the JetBlue values of Safety, Caring, Integrity, Passion, and Fun.
Equipment:
Computer and other office equipment.
Physical Effort:
Generally not required, or up to 10 pounds occasionally, 0 pounds frequently. (Sedentary)
Disclaimer: The above statements are intended to describe the general nature and level of work being performed by the crewmember(s) assigned to this position. They are not intended to be an exhaustive list of all responsibilities, duties, and skills required of individuals in this position. Position Expectations may be subject to change as the needs of the organization change.
JetBlue Airways Corp. is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, marital status, veteran status, sexual orientation, gender identity or expression, disability status, pregnancy, genetic information, citizenship status or any other characteristic protected by law. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.
The successful Candidate for this role will become part of the Center of Excellence for Process Automation in Personal Investing at Fidelity.
We provide end-to-end architectural strategies and spearhead innovative solutions for our customers. This includes a very large realm of activities, including but not limited to: influencing product strategy, developing scalable solutions, partnering with squads in launching valuable and clear solutions to our customers.
As a Data Engineer you will utilize your expertise to have an end-to-end vision, and to see how a logical design will translate into one or more physical databases, and how the data will flow through the successive stages involved. You have a passion for delivering solutions in a client obsessed environment that will give you opportunities to grow multi-dimensionally.
The Expertise We’re Looking For
Bachelor’s degree in Computer Science or similar discipline.
5+ years’ experience in Large Big Data Development and Deployment Automation in Private/Public cloud preferably on AWS
Understanding principles, best practices and trade-offs of schema design for both Relational and NoSQL database systems
Good Understanding of Big Data NoSQL databases/technologies (DynamoDB, Hive, Spark, MongoDB)
Experience with DevOps, Continuous Integration and Continuous Delivery (Maven, Jenkins, Stash, Ansible, Docker)
Extensive Experience Programming in Python, Ruby, Go, JavaScript and Java, as well as strong Unix shell skills
Define structure, integrate, govern, store, describe, model, and maintain data in the enterprise for accuracy and usage maintaining current state
Support policies and procedures enforced by the data governance committee to ensure best practices of data architecture including accountability, governance, and requirements
Document data inventory and data flow diagrams to determine what can be measured, when and how
Experience building Data Ingestion on the cloud (using tools like Glue, Apache Sqoop or other vendor products like Talend or StreamSets)
The Purpose of Your Role
Determine database structural requirements by analyzing client operations, applications, and programming; reviewing objectives with clients; evaluating current systems;
Develop database solutions by designing proposed system; defining database physical structure and functional capabilities, security, back-up, and recovery specifications.
Maintain database performance by identifying and resolving production and application development problems; calculating optimum values for parameters; evaluating, integrating, and installing new releases; completing maintenance; answering user questions.
The Skills You Bring
Your expertise in languages such as Python, Ruby, Go, JavaScript and Java, as well as strong Unix shell skills
Your Big Data Skills with popular stacks like Hadoop and Spark
Your knowledge of AWS CloudFormation, OpenStack HEAT templates and Terraform
Your expertise in all phases of data modeling, from conceptualization to database optimization.
Your ability to map the systems and interfaces used to manage data, sets standards for data management, analyzes current state and conceives desired future state, and conceives projects needed to close the gap between current state and future goals
Your desire and aptitude for learning new technologies
Your excellent verbal and written communication skills
The Value You Deliver
Build a strategy to re-invent systems and tools to create a continuous cycle of Innovation
Create data monitoring models for each product and work with our marketing team to create models ahead of new releases
Ability to build data models supporting complex transformation
Identifying and ingesting new data sources and performing feature engineering for integration into models
How Your Work Impacts the Organization
Fidelity Personal Investing Development teams provide direction and implementation to the experiences that enable our Retail customers to be financially successful. Your work, as part of the team, enables functionality developed throughout the firm to reach these customers and create the high-value interactions that will keep them coming back. As part of the team you will be able to impact the speed, efficacy, and scale of the technical solutions that will serve these customers through forward looking architectural designs as well as hands-on implementation.
Company Overview
At Fidelity, we are focused on making our financial expertise broadly accessible and effective in helping people live the lives they want. We are a privately held company that places a high degree of value in creating and nurturing a work environment that attracts the best talent and reflects our commitment to our associates.
Fidelity Investments is an equal opportunity employer.
May 04, 2019
Full-time
The successful Candidate for this role will become part of the Center of Excellence for Process Automation in Personal Investing at Fidelity.
We provide end-to-end architectural strategies and spearhead innovative solutions for our customers. This includes a very large realm of activities, including but not limited to: influencing product strategy, developing scalable solutions, partnering with squads in launching valuable and clear solutions to our customers.
As a Data Engineer you will utilize your expertise to have an end-to-end vision, and to see how a logical design will translate into one or more physical databases, and how the data will flow through the successive stages involved. You have a passion for delivering solutions in a client obsessed environment that will give you opportunities to grow multi-dimensionally.
The Expertise We’re Looking For
Bachelor’s degree in Computer Science or similar discipline.
5+ years’ experience in Large Big Data Development and Deployment Automation in Private/Public cloud preferably on AWS
Understanding principles, best practices and trade-offs of schema design for both Relational and NoSQL database systems
Good Understanding of Big Data NoSQL databases/technologies (DynamoDB, Hive, Spark, MongoDB)
Experience with DevOps, Continuous Integration and Continuous Delivery (Maven, Jenkins, Stash, Ansible, Docker)
Extensive Experience Programming in Python, Ruby, Go, JavaScript and Java, as well as strong Unix shell skills
Define structure, integrate, govern, store, describe, model, and maintain data in the enterprise for accuracy and usage maintaining current state
Support policies and procedures enforced by the data governance committee to ensure best practices of data architecture including accountability, governance, and requirements
Document data inventory and data flow diagrams to determine what can be measured, when and how
Experience building Data Ingestion on the cloud (using tools like Glue, Apache Sqoop or other vendor products like Talend or StreamSets)
The Purpose of Your Role
Determine database structural requirements by analyzing client operations, applications, and programming; reviewing objectives with clients; evaluating current systems;
Develop database solutions by designing proposed system; defining database physical structure and functional capabilities, security, back-up, and recovery specifications.
Maintain database performance by identifying and resolving production and application development problems; calculating optimum values for parameters; evaluating, integrating, and installing new releases; completing maintenance; answering user questions.
The Skills You Bring
Your expertise in languages such as Python, Ruby, Go, JavaScript and Java, as well as strong Unix shell skills
Your Big Data Skills with popular stacks like Hadoop and Spark
Your knowledge of AWS CloudFormation, OpenStack HEAT templates and Terraform
Your expertise in all phases of data modeling, from conceptualization to database optimization.
Your ability to map the systems and interfaces used to manage data, sets standards for data management, analyzes current state and conceives desired future state, and conceives projects needed to close the gap between current state and future goals
Your desire and aptitude for learning new technologies
Your excellent verbal and written communication skills
The Value You Deliver
Build a strategy to re-invent systems and tools to create a continuous cycle of Innovation
Create data monitoring models for each product and work with our marketing team to create models ahead of new releases
Ability to build data models supporting complex transformation
Identifying and ingesting new data sources and performing feature engineering for integration into models
How Your Work Impacts the Organization
Fidelity Personal Investing Development teams provide direction and implementation to the experiences that enable our Retail customers to be financially successful. Your work, as part of the team, enables functionality developed throughout the firm to reach these customers and create the high-value interactions that will keep them coming back. As part of the team you will be able to impact the speed, efficacy, and scale of the technical solutions that will serve these customers through forward looking architectural designs as well as hands-on implementation.
Company Overview
At Fidelity, we are focused on making our financial expertise broadly accessible and effective in helping people live the lives they want. We are a privately held company that places a high degree of value in creating and nurturing a work environment that attracts the best talent and reflects our commitment to our associates.
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.
May 03, 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.
May 03, 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.
