The Marketing Analytics team is tasked with providing data support to marketing operations teams with a mission to drive new subscriber growth. The Sr. Manager, Data Analytics will play a critical analytics role in supporting media channels including Paid Search, Display, Social, Video, Audio and Affiliate. This individual will analyze complex data from both internal and external sources to help identify opportunities, inform media buying, optimize conversion funnels and ensure media dollars are optimally invested. The ideal candidate has a passion for the digital media landscape and understands the intricacies and unique attributes of every step in the marketing funnel.
Responsibilities :
Support Paid Digital marketing team (Social, Display, Paid Search, Audio, Video and affiliate channels) to optimize channel performance, understand analytics needs and set roadmaps for analytics work
Develop and maintain key analyses around our marketing funnel, build automated reporting and present results to the broader organization
Monitor and analyze performance data across channels, tactics, partners and individual ad networks to ensure budget is optimized
Mine internal user and response data to develop targeting models, decision rules and response forecasting
Develop test and learn strategies related to targeting, creatives and other variables to improve end-to-end conversion throughout the funnel
Manage user acquisition data tracking integrations both internally and with third parties
Basic Qualifications :
7+ years of experience within digital marketing and advanced data analytics
Strong analytical skills with the ability to apply business strategy to data analysis and recommendations
Expertise in digital media, web analytics and in-app systems including ad serving, tracking and reporting tools including DoubleClick, DART, Adobe Analytics, Kochava, Flashtalking, media platforms (DBM, Google Search, Adwords, Facebook, etc.) and DMP solutions (BlueKai, Salesforce, etc.)
Deep understanding of the underlying technology and algorithms behind each of our partner ad networks/platforms and how to optimize results
Excellent understanding of media fundamentals and industry knowledge, including media metrics and quantitative business measures
Strong understanding of measurement and attribution
Expertise manipulating large data sets, interpreting data trends and using a multitude of disparate data sources and tools
Proficiency with SQL
Familiarity with business intelligence platforms and tools (e.g., Tableau, Looker, etc.)
Preferred Qualifications :
Experience in the streaming media industry or other subscription-based service
Python, Scala or R experience writing, managing and deploying code
Required Education :
Bachelor’s degree in relevant focus (i.e., Computer Science, Data Science, Statistics or Machine Learning)
Jul 05, 2019
Full-time
The Marketing Analytics team is tasked with providing data support to marketing operations teams with a mission to drive new subscriber growth. The Sr. Manager, Data Analytics will play a critical analytics role in supporting media channels including Paid Search, Display, Social, Video, Audio and Affiliate. This individual will analyze complex data from both internal and external sources to help identify opportunities, inform media buying, optimize conversion funnels and ensure media dollars are optimally invested. The ideal candidate has a passion for the digital media landscape and understands the intricacies and unique attributes of every step in the marketing funnel.
Responsibilities :
Support Paid Digital marketing team (Social, Display, Paid Search, Audio, Video and affiliate channels) to optimize channel performance, understand analytics needs and set roadmaps for analytics work
Develop and maintain key analyses around our marketing funnel, build automated reporting and present results to the broader organization
Monitor and analyze performance data across channels, tactics, partners and individual ad networks to ensure budget is optimized
Mine internal user and response data to develop targeting models, decision rules and response forecasting
Develop test and learn strategies related to targeting, creatives and other variables to improve end-to-end conversion throughout the funnel
Manage user acquisition data tracking integrations both internally and with third parties
Basic Qualifications :
7+ years of experience within digital marketing and advanced data analytics
Strong analytical skills with the ability to apply business strategy to data analysis and recommendations
Expertise in digital media, web analytics and in-app systems including ad serving, tracking and reporting tools including DoubleClick, DART, Adobe Analytics, Kochava, Flashtalking, media platforms (DBM, Google Search, Adwords, Facebook, etc.) and DMP solutions (BlueKai, Salesforce, etc.)
Deep understanding of the underlying technology and algorithms behind each of our partner ad networks/platforms and how to optimize results
Excellent understanding of media fundamentals and industry knowledge, including media metrics and quantitative business measures
Strong understanding of measurement and attribution
Expertise manipulating large data sets, interpreting data trends and using a multitude of disparate data sources and tools
Proficiency with SQL
Familiarity with business intelligence platforms and tools (e.g., Tableau, Looker, etc.)
Preferred Qualifications :
Experience in the streaming media industry or other subscription-based service
Python, Scala or R experience writing, managing and deploying code
Required Education :
Bachelor’s degree in relevant focus (i.e., Computer Science, Data Science, Statistics or Machine Learning)
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
Jun 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
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 scale 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.
Requirements:
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
Jun 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 scale 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.
Requirements:
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 Walt Disney World Revenue Planning and Forecasting team is responsible for the preparation of monthly forecasts, Long-Term Plans and Annual Operating Plans (AOPs) for all Walt Disney World lines of business (LOBs), including admissions / attendance, rooms, food & beverage, merchandise and other revenue.
This role will have responsibility for consolidation of the Long-Term Plan, AOP and monthly forecasts across all revenue LOBs. The role will partner with members of all revenue LOB teams as well as the WDW Financial Planning team, the DPEP Segment Financial Planning team and other key players across DPEP Finance and the WDW Commercial Strategy organization. She or he will proactively lead and clearly communicate expectations for all revenue planning and forecast processes and lead development of presentations for senior leadership, providing valuable information and insights on business performance. This role will have two direct reports: one full-time Cast Member and one professional intern.
Responsibilities :
Lead team responsible for weekly and monthly reporting and forecasting processes with a high attention to detail and an ability to handle multiple priorities in a fast-paced environment
Communicate timely and accurate information to partners in support of all financial planning and forecasting processes, quarterly earnings reports and other presentations
Translate business performance drivers into insightful analysis, recommendations, and presentations for senior leadership
Partner with multiple stakeholders within Revenue Planning & Forecasting, Finance, Commercial Strategy and Marking Center of Excellence to provide actionable insights and influence business decisions
Basic Qualifications :
Bachelor’s degree in Finance, Economics or other business / quantitative field
Minimum four years of experience in financial / quantitative analysis with ability to articulate compelling story about business performance
Demonstrated ability to leverage Excel and PowerPoint to develop convincing analyses and presentations
Ability to work in a fast-paced, collaborative team environment with a positive demeanor
Demonstrated ability to meet deadlines, handle multiple priorities, and perform job responsibilities accurately and proactively with minimal supervision
Demonstrated strong sense of accountability and pride in delivering high quality deliverables
Required Education :
Master’s degree or equivalent
Prior experience with revenue planning and forecasting processes
Knowledge of DPEP financial processes / systems
Experience managing direct reports
Jun 30, 2019
Full-time
The Walt Disney World Revenue Planning and Forecasting team is responsible for the preparation of monthly forecasts, Long-Term Plans and Annual Operating Plans (AOPs) for all Walt Disney World lines of business (LOBs), including admissions / attendance, rooms, food & beverage, merchandise and other revenue.
This role will have responsibility for consolidation of the Long-Term Plan, AOP and monthly forecasts across all revenue LOBs. The role will partner with members of all revenue LOB teams as well as the WDW Financial Planning team, the DPEP Segment Financial Planning team and other key players across DPEP Finance and the WDW Commercial Strategy organization. She or he will proactively lead and clearly communicate expectations for all revenue planning and forecast processes and lead development of presentations for senior leadership, providing valuable information and insights on business performance. This role will have two direct reports: one full-time Cast Member and one professional intern.
Responsibilities :
Lead team responsible for weekly and monthly reporting and forecasting processes with a high attention to detail and an ability to handle multiple priorities in a fast-paced environment
Communicate timely and accurate information to partners in support of all financial planning and forecasting processes, quarterly earnings reports and other presentations
Translate business performance drivers into insightful analysis, recommendations, and presentations for senior leadership
Partner with multiple stakeholders within Revenue Planning & Forecasting, Finance, Commercial Strategy and Marking Center of Excellence to provide actionable insights and influence business decisions
Basic Qualifications :
Bachelor’s degree in Finance, Economics or other business / quantitative field
Minimum four years of experience in financial / quantitative analysis with ability to articulate compelling story about business performance
Demonstrated ability to leverage Excel and PowerPoint to develop convincing analyses and presentations
Ability to work in a fast-paced, collaborative team environment with a positive demeanor
Demonstrated ability to meet deadlines, handle multiple priorities, and perform job responsibilities accurately and proactively with minimal supervision
Demonstrated strong sense of accountability and pride in delivering high quality deliverables
Required Education :
Master’s degree or equivalent
Prior experience with revenue planning and forecasting processes
Knowledge of DPEP financial processes / systems
Experience managing direct reports
Consumer Insight, Measurement & Analytics (CIMA) is a Global Marketing & Sales organization within Walt Disney Parks and Resorts (WDPR) that informs strategy development and decision-making through actionable data analytics, integration and insights. Within CIMA, the Digital Analytics team is focused on leveraging best practices in web analytics to capture, analyze and optimize our websites to drive Guest satisfaction and business outcomes. We use data to maximize the magic in Guest trips to the greatest vacation destinations in the world, including the Walt Disney World Resort in Florida, the Disneyland Resort in California, Hong Kong Disneyland Resort, and the Shanghai Disneyland Resort. We also support businesses such as Disney Cruise Line, Adventures by Disney and Disney Vacation Club.
The Manager, Digital Analytics must be an innovative problem solver with a passion for developing and growing a team. The leader must be able to inspire others and have a desire for continuous learning in the dynamic space of Digital Analytics. The position reports to the Vice President, Digital Analytics and Travel Operations, and leads multiple direct reports.
Responsibilities :
Lead a team of professionals within focused on web, mobile app and contact center analytics
Provide insight from the data and communicate opportunities or issues through holistic storytelling
Ensure that that there is a culture of quality within the team in all aspects including data quality, analytical thought leadership, best practices, cast development and partner relationships
Support commercial teams, product management groups and other teams with ad-hoc reporting and in-depth analysis
Recommend optimization tactics to improve performance continuously
Manage the compilation and dissemination of regular (e.g. weekly, monthly, quarterly, etc.) reports on performance
Seek opportunities to improve the report processes, data collection, delivery methods, and value
Exercise judgment and interpretation of requests to deliver the appropriate metric with the necessary context
Provide guidance and support to casual users/ consumers of the metrics
Guide data requirements by working with other data management, analytic, technology and business groups within the enterprise to ensure that the data needed is available for analysis
Basic Qualifications :
Bachelor’s Degree or equivalent experience
5+ years web analytics experience
Experience in actionable analytics and optimization
Ability to derive and present insights from data
Advanced knowledge of Adobe SAnalytics products
Excellent written and verbal communication skills
Advanced experience in communicating with senior managers and executives
Experience in strategic marketing and planning
Deep understanding of segmentation and targeting
Must be able to manage time effectively within a very complex environment
Ability to lead and develop team of several people
Preferred Qualifications :
MBA or equivalent work experience
Travel Industry and ecommerce experience
Understanding of direct marketing and personalization
Experience with business intelligence tools
Knowledge of statistical testing methodology
Experience in monetizing actions such as insights delivered
Conversational ability in Mandarin or French is an asset
Required Education :
Bachelor’s degree in a quantitative field – e.g. Marketing, Mathematics, Engineering, Economics, etc.
Jun 28, 2019
Full-time
Consumer Insight, Measurement & Analytics (CIMA) is a Global Marketing & Sales organization within Walt Disney Parks and Resorts (WDPR) that informs strategy development and decision-making through actionable data analytics, integration and insights. Within CIMA, the Digital Analytics team is focused on leveraging best practices in web analytics to capture, analyze and optimize our websites to drive Guest satisfaction and business outcomes. We use data to maximize the magic in Guest trips to the greatest vacation destinations in the world, including the Walt Disney World Resort in Florida, the Disneyland Resort in California, Hong Kong Disneyland Resort, and the Shanghai Disneyland Resort. We also support businesses such as Disney Cruise Line, Adventures by Disney and Disney Vacation Club.
The Manager, Digital Analytics must be an innovative problem solver with a passion for developing and growing a team. The leader must be able to inspire others and have a desire for continuous learning in the dynamic space of Digital Analytics. The position reports to the Vice President, Digital Analytics and Travel Operations, and leads multiple direct reports.
Responsibilities :
Lead a team of professionals within focused on web, mobile app and contact center analytics
Provide insight from the data and communicate opportunities or issues through holistic storytelling
Ensure that that there is a culture of quality within the team in all aspects including data quality, analytical thought leadership, best practices, cast development and partner relationships
Support commercial teams, product management groups and other teams with ad-hoc reporting and in-depth analysis
Recommend optimization tactics to improve performance continuously
Manage the compilation and dissemination of regular (e.g. weekly, monthly, quarterly, etc.) reports on performance
Seek opportunities to improve the report processes, data collection, delivery methods, and value
Exercise judgment and interpretation of requests to deliver the appropriate metric with the necessary context
Provide guidance and support to casual users/ consumers of the metrics
Guide data requirements by working with other data management, analytic, technology and business groups within the enterprise to ensure that the data needed is available for analysis
Basic Qualifications :
Bachelor’s Degree or equivalent experience
5+ years web analytics experience
Experience in actionable analytics and optimization
Ability to derive and present insights from data
Advanced knowledge of Adobe SAnalytics products
Excellent written and verbal communication skills
Advanced experience in communicating with senior managers and executives
Experience in strategic marketing and planning
Deep understanding of segmentation and targeting
Must be able to manage time effectively within a very complex environment
Ability to lead and develop team of several people
Preferred Qualifications :
MBA or equivalent work experience
Travel Industry and ecommerce experience
Understanding of direct marketing and personalization
Experience with business intelligence tools
Knowledge of statistical testing methodology
Experience in monetizing actions such as insights delivered
Conversational ability in Mandarin or French is an asset
Required Education :
Bachelor’s degree in a quantitative field – e.g. Marketing, Mathematics, Engineering, Economics, etc.
Who We Are:
The Walt Disney Studios is comprised of large team of creative professionals who produce and acquire live-action and animated motion pictures, direct-to-video content, television and serial properties, musical recordings and live stage plays that tell memorable, life changing stories. Few media and entertainment companies can rival the brands we have the honor of bringing to the world.
What You Will Be Creating:
You will be working in a small, multidisciplinary team of systems, software, and data engineers. You will be designing, creating, and applying a state-of-the-art data ingest, storage, analytics and reporting system for a variety of customer groups within the Studios. This is an opportunity to shape the present and future of a major studio’s relationship with data. We are looking for talented software engineers with experience manipulating data sets at the multi-terabyte level, using the JVM/Apache/Spark/Kafka ecology of open-source distributed storage and computation tools.
What’s Your Story?
We are looking for self-starting, experienced engineers who wans to shape the way that a fortune 100 entertainment company engages with data and analytics. You have extensive experience shipping production code. You are insulted when someone asks you if you’ve written the unit tests yet, because you wrote them first. You can simulate, load-test, and performance analyze a complex distributed system. You are comfortable analyzing problems and implementing solutions on multi-terabyte data sets. Your systems fail elegantly.
Responsibilities :
Analyze business problems, architect, design and build high-quality software solutions
Collaborate with customer representatives, product and project management teams
Evangelize technologies, solutions, and best practices
Contribute new ideas to a larger community of high-caliber professionals
Balance resources, requirements, and complexity
Basic Qualifications :
Passion & proven experience in engineering high-quality software and systems that deliver business value
Passion & proven experience in system design, with interests and experience across the architecture from virtual machine and language internals to distributed systems performance and analysis
Fluency with the fundamentals of algorithms and data structures
Sound technical decision-making
A range of JVM/CLR languages, as well as scripting/systems languages like Python
Testing practices (unit, integration, performance and load testing)
Revision control with git
Distributed systems and API design
Kafka, Spark, Hive and other distributed data analysis tools
The AWS environment and toolset
SQL and related data stores
Confluent.io & Kafka
Maven & Pants for dependencies and builds
Jenkins for build & deployment
Docker, OpenShift and Kubernetes for execution management
Elastic Search, Kibana, or other aggregation and search tools
Teradata, Informatica, and other data warehousing solutions
Tableau, MicroStrategy, d3, and other data visualization tools
Preferred Qualifications:
Data science, statistics, machine learning and other applied mathematics
Data lake and data warehouse implementation and support
Kylo, Cloudera, or other data lake management systems
Required Education :
BS in computer science, mathematics, or engineering with 8-10+ years of software experience
Jul 17, 2019
Full-time
Who We Are:
The Walt Disney Studios is comprised of large team of creative professionals who produce and acquire live-action and animated motion pictures, direct-to-video content, television and serial properties, musical recordings and live stage plays that tell memorable, life changing stories. Few media and entertainment companies can rival the brands we have the honor of bringing to the world.
What You Will Be Creating:
You will be working in a small, multidisciplinary team of systems, software, and data engineers. You will be designing, creating, and applying a state-of-the-art data ingest, storage, analytics and reporting system for a variety of customer groups within the Studios. This is an opportunity to shape the present and future of a major studio’s relationship with data. We are looking for talented software engineers with experience manipulating data sets at the multi-terabyte level, using the JVM/Apache/Spark/Kafka ecology of open-source distributed storage and computation tools.
What’s Your Story?
We are looking for self-starting, experienced engineers who wans to shape the way that a fortune 100 entertainment company engages with data and analytics. You have extensive experience shipping production code. You are insulted when someone asks you if you’ve written the unit tests yet, because you wrote them first. You can simulate, load-test, and performance analyze a complex distributed system. You are comfortable analyzing problems and implementing solutions on multi-terabyte data sets. Your systems fail elegantly.
Responsibilities :
Analyze business problems, architect, design and build high-quality software solutions
Collaborate with customer representatives, product and project management teams
Evangelize technologies, solutions, and best practices
Contribute new ideas to a larger community of high-caliber professionals
Balance resources, requirements, and complexity
Basic Qualifications :
Passion & proven experience in engineering high-quality software and systems that deliver business value
Passion & proven experience in system design, with interests and experience across the architecture from virtual machine and language internals to distributed systems performance and analysis
Fluency with the fundamentals of algorithms and data structures
Sound technical decision-making
A range of JVM/CLR languages, as well as scripting/systems languages like Python
Testing practices (unit, integration, performance and load testing)
Revision control with git
Distributed systems and API design
Kafka, Spark, Hive and other distributed data analysis tools
The AWS environment and toolset
SQL and related data stores
Confluent.io & Kafka
Maven & Pants for dependencies and builds
Jenkins for build & deployment
Docker, OpenShift and Kubernetes for execution management
Elastic Search, Kibana, or other aggregation and search tools
Teradata, Informatica, and other data warehousing solutions
Tableau, MicroStrategy, d3, and other data visualization tools
Preferred Qualifications:
Data science, statistics, machine learning and other applied mathematics
Data lake and data warehouse implementation and support
Kylo, Cloudera, or other data lake management systems
Required Education :
BS in computer science, mathematics, or engineering with 8-10+ years of software experience
Consumer Insight, Measurement & Analytics (CIMA) is part of the Global Marketing & Sales organization within Disney Parks, Experiences & Products (DPEP). CIMA influences decision making with integrated, objective, and actionable insights. Within CIMA, the Strategic Analytics team is seeking a Senior Analyst, Business Intelligence to support Consumer Products (CP), the division of DPEP that brings stories and characters to life through innovative and engaging physical products and digital experiences across more than 100 categories, from toys and t-shirts, to apps, books and console games. In this role, the Senior Analyst, Business Intelligence must possess a strong knowledge of data structure and a passion for marketing data and analytics. This individual will leverage their BI platforming and systems knowledge to enable more data-centric analysis that provides business impact to the Consumer Products segment. This role will be responsible for managing, maintaining, and transforming large quantities of media, sales, product, and event data in order to enable the organization to maximize its marketing return on investment and effectiveness of consumer programs. The position reports to the Senior Manager, Strategic Analytics and will be based in Glendale, CA.
Responsibilities :
The Senior Analyst, Business Intelligence’s key responsibilities include, but are not limited to, the following:
Identify new and robust sources of media data and plan technical solutions for onboarding
Data acquisition – work with Technology partners to onboard new sources
Data transformation – manage ETL process, QC data to be compatible with internal reporting platform and ensure data accuracy
Use programming languages and relational databases for data acquisition, ETL, data cleansing & QA, and analysis
Automate data acquisition and storage, provide ongoing database support
Recommend data management solutions
Document all data processes
Set-up and conduct on-going data QA to ensure data used for reporting and analysis is accurate
Create database views and BI interfaces that enhance UX for anyone analyzing data
Dashboard development and data visualization
Provide data support for regularly scheduled meetings, presentations, and ad hoc requests
Find marketing opportunities and mitigate risks by mining data and conducting data analyses
Report any key issues or learnings to senior leadership
Become marketing data SME to develop an expertise and evangelize those data sets
Basic Qualifications :
4+ years of experience in business intelligence and/or data engineering roles
Bachelor’s degree in engineering, computer science, information systems, data science, applied mathematics, statistics, or other related fields.
Expertise in relational databases, data processing, and big data environments (Teradata, Hadoop, Oracle, AWS, BigQuery)
Expertise in programming languages (SQL, R, Python, Hive, SPSS, Excel)
Comfortable learning and using new programming or markup languages and tools
Proficient with business intelligence and data visualization tools (Tableau, Power BI, Looker, Microstrategy)
Experience working with marketing, paid media, CRM, digital, and social media data (Google Ads, YouTube, Facebook, Adobe Analytics/Omniture)
Proven analytical capabilities and data mining skills
Strong attentiveness to detail
Proven team player and strong partnering skills
Demonstrated proactive problem-solving and decision making skills
Demonstrated ability to deliver work on time
Demonstrated verbal and written communication skills
Ability to excel in a fast-paced, complex, and ambiguous business environment
Intellectually curious, analytically rigorous, hard-working, good work ethic and an on-point business intuition
Preferred Qualifications :
7+ years data & analytics experience
Experience in consumer products, retail, publishing, or digital products strongly preferred
Prior knowledge of internal Disney data and databases
Prior experience with DMP and adtech/martech platforms
Project management experience
Required Education :
Bachelor’s degree in engineering, computer science, data science, applied mathematics, statistics, or other related analytics fields
Preferred Education :
Advanced degree in an analytics field or MBA
Jul 05, 2019
Full-time
Consumer Insight, Measurement & Analytics (CIMA) is part of the Global Marketing & Sales organization within Disney Parks, Experiences & Products (DPEP). CIMA influences decision making with integrated, objective, and actionable insights. Within CIMA, the Strategic Analytics team is seeking a Senior Analyst, Business Intelligence to support Consumer Products (CP), the division of DPEP that brings stories and characters to life through innovative and engaging physical products and digital experiences across more than 100 categories, from toys and t-shirts, to apps, books and console games. In this role, the Senior Analyst, Business Intelligence must possess a strong knowledge of data structure and a passion for marketing data and analytics. This individual will leverage their BI platforming and systems knowledge to enable more data-centric analysis that provides business impact to the Consumer Products segment. This role will be responsible for managing, maintaining, and transforming large quantities of media, sales, product, and event data in order to enable the organization to maximize its marketing return on investment and effectiveness of consumer programs. The position reports to the Senior Manager, Strategic Analytics and will be based in Glendale, CA.
Responsibilities :
The Senior Analyst, Business Intelligence’s key responsibilities include, but are not limited to, the following:
Identify new and robust sources of media data and plan technical solutions for onboarding
Data acquisition – work with Technology partners to onboard new sources
Data transformation – manage ETL process, QC data to be compatible with internal reporting platform and ensure data accuracy
Use programming languages and relational databases for data acquisition, ETL, data cleansing & QA, and analysis
Automate data acquisition and storage, provide ongoing database support
Recommend data management solutions
Document all data processes
Set-up and conduct on-going data QA to ensure data used for reporting and analysis is accurate
Create database views and BI interfaces that enhance UX for anyone analyzing data
Dashboard development and data visualization
Provide data support for regularly scheduled meetings, presentations, and ad hoc requests
Find marketing opportunities and mitigate risks by mining data and conducting data analyses
Report any key issues or learnings to senior leadership
Become marketing data SME to develop an expertise and evangelize those data sets
Basic Qualifications :
4+ years of experience in business intelligence and/or data engineering roles
Bachelor’s degree in engineering, computer science, information systems, data science, applied mathematics, statistics, or other related fields.
Expertise in relational databases, data processing, and big data environments (Teradata, Hadoop, Oracle, AWS, BigQuery)
Expertise in programming languages (SQL, R, Python, Hive, SPSS, Excel)
Comfortable learning and using new programming or markup languages and tools
Proficient with business intelligence and data visualization tools (Tableau, Power BI, Looker, Microstrategy)
Experience working with marketing, paid media, CRM, digital, and social media data (Google Ads, YouTube, Facebook, Adobe Analytics/Omniture)
Proven analytical capabilities and data mining skills
Strong attentiveness to detail
Proven team player and strong partnering skills
Demonstrated proactive problem-solving and decision making skills
Demonstrated ability to deliver work on time
Demonstrated verbal and written communication skills
Ability to excel in a fast-paced, complex, and ambiguous business environment
Intellectually curious, analytically rigorous, hard-working, good work ethic and an on-point business intuition
Preferred Qualifications :
7+ years data & analytics experience
Experience in consumer products, retail, publishing, or digital products strongly preferred
Prior knowledge of internal Disney data and databases
Prior experience with DMP and adtech/martech platforms
Project management experience
Required Education :
Bachelor’s degree in engineering, computer science, data science, applied mathematics, statistics, or other related analytics fields
Preferred Education :
Advanced degree in an analytics field or MBA
Comprised of Disney’s international media businesses and the Company’s various streaming services, the Direct-to-Consumer and International (DTCI) 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. The Walt Disney Company’s Direct-to-Consumer and International segment (DTCI) is a global, multiplatform media, technology and distribution organization for high-quality content created by Disney’s Studio Entertainment and Media Networks groups. DTCI includes Disney’s international media operations and the Company’s direct-to-consumer businesses globally, including the upcoming Disney-branded direct-to-consumer streaming service, the Company’s ownership stake in Hulu, and the ESPN+ sports streaming service, programmed in partnership with ESPN. BAMTECH Media, developer of the ESPN+ and Disney-branded streaming platforms, oversees all consumer-facing digital technology and products across the Company as part of the Direct-to-Consumer and International segment. The Data Quality team partners with the Product Management and Engineering functions of the Data Platform team as well as with legal, privacy and the industry group to ensure consistent, trustworthy data across all of DTCI and TWDC. The group creates strategy designed to ensure quality data that is also secure and compliant with internal and legal standards. The group works with other groups within the DTCI technology organization to implement the data quality strategy within platform components, reporting and analytics, tools and compliance standards.· This Director, Data Quality is a leadership position within the Data Platforms group of The Walt Disney Company’s Direct-to-Consumer and International Technology (DTCI) division. This role reports to the Senior Vice President, Data Platforms.
Responsibilities :
Providing leadership for the data quality and governance strategy and analysis functions within the DTCI Data Platforms team. This includes working with existing data governance functions within The Walt Disney Company as well as developing the data governance strategy, policies and standards, and key risk metrics.
Partner with the Vice President, Data Platforms Product Management and Vice President, Data
Platforms Engineering on the product strategy, platform capabilities, tools and deliverables necessary to imbue the platform the proper set of complete, compliant and secure data
Presenting within the technical domain to and partnering with individual engineers, analysts andexecutives.
Defining and delivering against data governance policies and procedures in a federated and complex organizational construct using a combination of influence and authority to execute broad strategic objectives.
Educate and influence senior technology and business leadership in the data quality domain, articulating conceptual ideas and their impact to a widely divergent audience using excellent verbal, written, and listening skills.
Specific Responsibilities :
Define the data quality strategy and liaise to ensure proper implementation
Define and implement data governance structure, policies and procedures and ensure compliance; implement control functions and KPIs to monitor compliance
Ensure rigorous data management standards. Identify and address existing data quality issues and implement road maps for tactical and strategic enhancements
Develop data classification standards. Oversee data classification, definition, and proactive data quality. Build an awareness program and implement the policies. Integrate data classification standards into related policies and procedures
Define and implement detailed standards, aligned to support all underlying data systems
Ensure compliance with regulatory requirements related to user data.
Document the security and privacy requirements for different categories of TWDC and DTCI data
Basic Qualifications :
Experience with data warehouse, database and data management concepts, processes, tools and technologies including BI, Big Data, ETL and MPP databases preferred
Excellent communication skills (oral and written) and organizational skills
Able to communicate at multiple levels ranging from front-line personnel to C-level executives
Demonstrates deep understanding of database related audit and compliance goals and processes
Must possess the proven ability to assess information security, policies and procedures and operational risk
Background in data and information management projects, operating in a highly complex and regulated environment
Develop data classification standards. Oversee data classification, definition, and proactive data quality. Build an awareness program and implement the policies. Integrate data classification standards into related policies and procedures
Define and implement detailed standards, aligned to support all underlying data systems
Ensure compliance with regulatory requirements related to user data
Document the security and privacy requirements for different categories of TWDC and DTCI data
Required Education :
Bachelor’s degree, with equivalent work experience in MIS, Computer Science or related discipline.
Jul 04, 2019
Full-time
Comprised of Disney’s international media businesses and the Company’s various streaming services, the Direct-to-Consumer and International (DTCI) 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. The Walt Disney Company’s Direct-to-Consumer and International segment (DTCI) is a global, multiplatform media, technology and distribution organization for high-quality content created by Disney’s Studio Entertainment and Media Networks groups. DTCI includes Disney’s international media operations and the Company’s direct-to-consumer businesses globally, including the upcoming Disney-branded direct-to-consumer streaming service, the Company’s ownership stake in Hulu, and the ESPN+ sports streaming service, programmed in partnership with ESPN. BAMTECH Media, developer of the ESPN+ and Disney-branded streaming platforms, oversees all consumer-facing digital technology and products across the Company as part of the Direct-to-Consumer and International segment. The Data Quality team partners with the Product Management and Engineering functions of the Data Platform team as well as with legal, privacy and the industry group to ensure consistent, trustworthy data across all of DTCI and TWDC. The group creates strategy designed to ensure quality data that is also secure and compliant with internal and legal standards. The group works with other groups within the DTCI technology organization to implement the data quality strategy within platform components, reporting and analytics, tools and compliance standards.· This Director, Data Quality is a leadership position within the Data Platforms group of The Walt Disney Company’s Direct-to-Consumer and International Technology (DTCI) division. This role reports to the Senior Vice President, Data Platforms.
Responsibilities :
Providing leadership for the data quality and governance strategy and analysis functions within the DTCI Data Platforms team. This includes working with existing data governance functions within The Walt Disney Company as well as developing the data governance strategy, policies and standards, and key risk metrics.
Partner with the Vice President, Data Platforms Product Management and Vice President, Data
Platforms Engineering on the product strategy, platform capabilities, tools and deliverables necessary to imbue the platform the proper set of complete, compliant and secure data
Presenting within the technical domain to and partnering with individual engineers, analysts andexecutives.
Defining and delivering against data governance policies and procedures in a federated and complex organizational construct using a combination of influence and authority to execute broad strategic objectives.
Educate and influence senior technology and business leadership in the data quality domain, articulating conceptual ideas and their impact to a widely divergent audience using excellent verbal, written, and listening skills.
Specific Responsibilities :
Define the data quality strategy and liaise to ensure proper implementation
Define and implement data governance structure, policies and procedures and ensure compliance; implement control functions and KPIs to monitor compliance
Ensure rigorous data management standards. Identify and address existing data quality issues and implement road maps for tactical and strategic enhancements
Develop data classification standards. Oversee data classification, definition, and proactive data quality. Build an awareness program and implement the policies. Integrate data classification standards into related policies and procedures
Define and implement detailed standards, aligned to support all underlying data systems
Ensure compliance with regulatory requirements related to user data.
Document the security and privacy requirements for different categories of TWDC and DTCI data
Basic Qualifications :
Experience with data warehouse, database and data management concepts, processes, tools and technologies including BI, Big Data, ETL and MPP databases preferred
Excellent communication skills (oral and written) and organizational skills
Able to communicate at multiple levels ranging from front-line personnel to C-level executives
Demonstrates deep understanding of database related audit and compliance goals and processes
Must possess the proven ability to assess information security, policies and procedures and operational risk
Background in data and information management projects, operating in a highly complex and regulated environment
Develop data classification standards. Oversee data classification, definition, and proactive data quality. Build an awareness program and implement the policies. Integrate data classification standards into related policies and procedures
Define and implement detailed standards, aligned to support all underlying data systems
Ensure compliance with regulatory requirements related to user data
Document the security and privacy requirements for different categories of TWDC and DTCI data
Required Education :
Bachelor’s degree, with equivalent work experience in MIS, Computer Science or related discipline.
At The Walt Disney Studios, you’ll help bring compelling stories to life through film, music and live entertainment. We tell stories. We tell amazing stories. We blow minds. We don’t just want to dominate the silver screen, we want to dominate the conversation. We’re Disney Studios we own brands like Marvel, LucasFilm, Pixar, Disney Animation, Disney Nature and Hollywood Records. We’d like you to join the Disney Studio Data Services team and make the magic happen through a different kind of story. Our story starts with a team, innovation and ambition. We’re starting by disrupting the status quo, by approaching problems using bleeding-edge technologies, a lean culture, and a thirst for knowledge. We can do it all. This is only the beginning of our story, join us for the rest. Data help drive our business at Disney Studios. Marketing teams need the right data signals to market the right event to the right fan at the right time. Product and business leads need easy access to key metrics to measure the health of their business. We are constantly building new products that rely on data to power user experiences, and these products in-turn generate new, valuable data. With so much of our business depending on the comprehensiveness, availability, and accuracy of data, it is critical that Disney Studios have the right team in place to manage it. We are looking for a seasoned leader to help drive our organizational discipline around Data Services. This leader be responsible for ensuring Disney Studio’s core data systems are meeting the needs of the business. This team will have a hand in strategy, requirements definition and prioritization for Data Ingestion, Data Accessibility, and Business Intelligence. Our data services organization won’t just build data products. This team is the bridge between the business needs and our technical capabilities. We’ll create a data-ecosystem that puts the data/business user first, anticipates needs, and gets ahead of how a user might access data to create data services that empower teams to unleash their full potential.
Responsibilities :
Lead the Data Ingestion team managing business requirements and prioritization of data being collected from source systems for Marketing, Product, and Business Intelligence uses. Works closely with Source Product and Engineering teams as well as business stakeholders.
Lead the Business Intelligence development team managing internal BI tool strategy. This team’s core mission is to ensure the comprehensiveness and usability of the BI tools and the data available within.
Define and maintain overall Data Services strategy and roadmap. Managing Data Services Project Management and Engineering leads. Prioritize team efforts to deliver incremental near-term value while working toward long term vision.
Partner with Engineering, Privacy, and Compliance Leads to ensure Data Services systems meet all privacy and security requirements
Regularly communicate product roadmap and status of key initiatives to internal stakeholders and executives.
Partner with leaders across the lines of business to ensure Data Services team is a consistent thought partner in servicing the various data needs within the organization.
Establish Product Management best practices within the team, building an organization focused on thoughtfully delivering business value.
Define, track and improve key metrics and success criteria for major data services initiatives.
Basic Qualifications :
15+ years of experience leading development and successful launch of back-end data services and/or data-centric business applications
5+ years of data domain technology experience
Ability to prioritize among competing opportunities, balance internal client needs with business priorities, and articulate the rationale behind decisions
5+ years of working in an agile environment
Creative, collaborative thinker with an ability to learn new things, assess problems and identify proactive solutions quickly
Self-starter, comfortable leading change and getting things done.
Preferred Qualifications:
Experience with data analytics or business intelligence platforms preferred
Required Education :
Bachelor’s degree, with equivalent work experience
Jul 04, 2019
Full-time
At The Walt Disney Studios, you’ll help bring compelling stories to life through film, music and live entertainment. We tell stories. We tell amazing stories. We blow minds. We don’t just want to dominate the silver screen, we want to dominate the conversation. We’re Disney Studios we own brands like Marvel, LucasFilm, Pixar, Disney Animation, Disney Nature and Hollywood Records. We’d like you to join the Disney Studio Data Services team and make the magic happen through a different kind of story. Our story starts with a team, innovation and ambition. We’re starting by disrupting the status quo, by approaching problems using bleeding-edge technologies, a lean culture, and a thirst for knowledge. We can do it all. This is only the beginning of our story, join us for the rest. Data help drive our business at Disney Studios. Marketing teams need the right data signals to market the right event to the right fan at the right time. Product and business leads need easy access to key metrics to measure the health of their business. We are constantly building new products that rely on data to power user experiences, and these products in-turn generate new, valuable data. With so much of our business depending on the comprehensiveness, availability, and accuracy of data, it is critical that Disney Studios have the right team in place to manage it. We are looking for a seasoned leader to help drive our organizational discipline around Data Services. This leader be responsible for ensuring Disney Studio’s core data systems are meeting the needs of the business. This team will have a hand in strategy, requirements definition and prioritization for Data Ingestion, Data Accessibility, and Business Intelligence. Our data services organization won’t just build data products. This team is the bridge between the business needs and our technical capabilities. We’ll create a data-ecosystem that puts the data/business user first, anticipates needs, and gets ahead of how a user might access data to create data services that empower teams to unleash their full potential.
Responsibilities :
Lead the Data Ingestion team managing business requirements and prioritization of data being collected from source systems for Marketing, Product, and Business Intelligence uses. Works closely with Source Product and Engineering teams as well as business stakeholders.
Lead the Business Intelligence development team managing internal BI tool strategy. This team’s core mission is to ensure the comprehensiveness and usability of the BI tools and the data available within.
Define and maintain overall Data Services strategy and roadmap. Managing Data Services Project Management and Engineering leads. Prioritize team efforts to deliver incremental near-term value while working toward long term vision.
Partner with Engineering, Privacy, and Compliance Leads to ensure Data Services systems meet all privacy and security requirements
Regularly communicate product roadmap and status of key initiatives to internal stakeholders and executives.
Partner with leaders across the lines of business to ensure Data Services team is a consistent thought partner in servicing the various data needs within the organization.
Establish Product Management best practices within the team, building an organization focused on thoughtfully delivering business value.
Define, track and improve key metrics and success criteria for major data services initiatives.
Basic Qualifications :
15+ years of experience leading development and successful launch of back-end data services and/or data-centric business applications
5+ years of data domain technology experience
Ability to prioritize among competing opportunities, balance internal client needs with business priorities, and articulate the rationale behind decisions
5+ years of working in an agile environment
Creative, collaborative thinker with an ability to learn new things, assess problems and identify proactive solutions quickly
Self-starter, comfortable leading change and getting things done.
Preferred Qualifications:
Experience with data analytics or business intelligence platforms preferred
Required Education :
Bachelor’s degree, with equivalent work experience
Consumer Insight, Measurement & Analytics (CIMA) is part of the Global Marketing & Sales organization within Walt Disney Parks and Resorts (WDPR). CIMA influences decision making with integrated, objective, and actionable insights. Within CIMA, the Digital & Travel Operations Analytics (DTOA) team provides analysis across the primary modes used by Guests/clients for vacation discover, planning, transacting, and management to enable decision making and optimization. The Omni-Channel Analyst is a key contributor to the Omni-Channel Analytics team. He/she will have the opportunity to work with large data sets and cloud environment tools with the goal of establishing subject matter expertise in specific lines of business supported by CIMA. In order to succeed in the role, the Omni-Channel Analyst must possess a passion for data, quality assurance, and analysis to improve business performance and/or Guest satisfaction at the pace of business. In order to excel in the role, the Omni-Channel Analyst must further the analytical sophistication of the team. The position reports to the Senior Manager, Omni-Channel Analytics and does not have direct reports.
Responsibilities :
The Omni-Channel Analyst’s key responsibilities include, but are not limited to, the following: Data Strategy / Architecture
Work with business partners to determine needs and requirements
Identify and document data requirements to support both ongoing and ad hoc analysis
Learn new data sets from various lines of business, to develop an expertise in those data sets
Partner with the Data Services team to manage new data requests, document and automate data processes, and apply business logic to source data.
Data Analysis and Insights
QA data to ensure accuracy
Analyze and mine data to find opportunities in time allotted
Undertake proactive and reactive ad-hoc requests as needed
Make business recommendations based on the data findings
Drive more efficient and sophisticated analytical insights
Basic Qualifications :
The Omni-Channel Analyst’s key responsibilities include, but are not limited to, the following: Data Strategy / Architecture
Work with business partners to determine needs and requirements
Identify and document data requirements to support both ongoing and ad hoc analysis
Learn new data sets from various lines of business, to develop an expertise in those data sets
Partner with the Data Services team to manage new data requests, document and automate data processes, and apply business logic to source data.
Data Analysis and Insights
QA data to ensure accuracy
Analyze and mine data to find opportunities in time allotted
Undertake proactive and reactive ad-hoc requests as needed
Make business recommendations based on the data findings
Drive more efficient and sophisticated analytical insights
Data Delivery / Distribution
Develop efficient queries and tables for ongoing and adhoc analysis
Convey and highlight recommendations to tell the story with data
Ensure partners understand the data, table, processes
The Omni-Channel Analyst’s preferred qualifications include:
3+ years of relational database experience
3+ years of analytical experience
Ability to apply statistical rigor to analyses
Knowledge of “big data” environments and tools
Experience with digital and contact center data and analytics
Experience with hostility data and analytics
Experience with data warehouse platforms such as My SQL, SQL Server, Teradata
Required Education :
Bachelor’s degree in analytical/quantitative field – e.g. statistics, economics, mathematics, marketing analytics, engineering, etc
Jul 04, 2019
Full-time
Consumer Insight, Measurement & Analytics (CIMA) is part of the Global Marketing & Sales organization within Walt Disney Parks and Resorts (WDPR). CIMA influences decision making with integrated, objective, and actionable insights. Within CIMA, the Digital & Travel Operations Analytics (DTOA) team provides analysis across the primary modes used by Guests/clients for vacation discover, planning, transacting, and management to enable decision making and optimization. The Omni-Channel Analyst is a key contributor to the Omni-Channel Analytics team. He/she will have the opportunity to work with large data sets and cloud environment tools with the goal of establishing subject matter expertise in specific lines of business supported by CIMA. In order to succeed in the role, the Omni-Channel Analyst must possess a passion for data, quality assurance, and analysis to improve business performance and/or Guest satisfaction at the pace of business. In order to excel in the role, the Omni-Channel Analyst must further the analytical sophistication of the team. The position reports to the Senior Manager, Omni-Channel Analytics and does not have direct reports.
Responsibilities :
The Omni-Channel Analyst’s key responsibilities include, but are not limited to, the following: Data Strategy / Architecture
Work with business partners to determine needs and requirements
Identify and document data requirements to support both ongoing and ad hoc analysis
Learn new data sets from various lines of business, to develop an expertise in those data sets
Partner with the Data Services team to manage new data requests, document and automate data processes, and apply business logic to source data.
Data Analysis and Insights
QA data to ensure accuracy
Analyze and mine data to find opportunities in time allotted
Undertake proactive and reactive ad-hoc requests as needed
Make business recommendations based on the data findings
Drive more efficient and sophisticated analytical insights
Basic Qualifications :
The Omni-Channel Analyst’s key responsibilities include, but are not limited to, the following: Data Strategy / Architecture
Work with business partners to determine needs and requirements
Identify and document data requirements to support both ongoing and ad hoc analysis
Learn new data sets from various lines of business, to develop an expertise in those data sets
Partner with the Data Services team to manage new data requests, document and automate data processes, and apply business logic to source data.
Data Analysis and Insights
QA data to ensure accuracy
Analyze and mine data to find opportunities in time allotted
Undertake proactive and reactive ad-hoc requests as needed
Make business recommendations based on the data findings
Drive more efficient and sophisticated analytical insights
Data Delivery / Distribution
Develop efficient queries and tables for ongoing and adhoc analysis
Convey and highlight recommendations to tell the story with data
Ensure partners understand the data, table, processes
The Omni-Channel Analyst’s preferred qualifications include:
3+ years of relational database experience
3+ years of analytical experience
Ability to apply statistical rigor to analyses
Knowledge of “big data” environments and tools
Experience with digital and contact center data and analytics
Experience with hostility data and analytics
Experience with data warehouse platforms such as My SQL, SQL Server, Teradata
Required Education :
Bachelor’s degree in analytical/quantitative field – e.g. statistics, economics, mathematics, marketing analytics, engineering, etc
The Workforce Management - Strategy & Analytics Manager works with a variety of stakeholders across WDW and within the Workforce Management organization to evaluate and deliver against Workforce Management’s top strategic priorities. Successful candidates will be strategic and analytical thinkers with business knowledge who demonstrate a passion for understanding and tackling new Operations labor frontiers.
This role combines technical, analytical and statistical skills and expertise with project management support and leadership to achieve strategic business objectives. The types of analytics required includes forecasting, optimization, regressions, and end-to-end impact calculations supporting strategic projects, ad hoc requests, what-if analyses, and methodology redesigns.
Responsibilities :
Effectively manages and leads large-scale WFM projects with cross-functional teams
Provides quick and reasonable approach and effort estimates during project planning
Conducts accurate analyses to assess business needs and impacts to frame business cases for assigned projects
Perform exploratory data analysis to gain insights into WDW Operations and identify opportunities
Outlines and clearly explains approach and methodology
Uses results of analysis to clearly lay out appropriate options and recommendations for decision making
Performs analyses to assess proposed analytical methodologies and strategic approaches
Solid understanding of the principles of workforce management operations and analytics
Supports teammates by sharing subject matter expertise and collaborating on analytics approach, design, and/or calculations
Demonstrated passion and commitment to diversity and inclusion including inviting diverse perspectives, fostering an inclusive work environment and supporting workforce diversity
Basic Qualifications :
Demonstrated strong analytical, quantitative, and problem-solving skills
Demonstrated knowledge of mathematical and statistical methods, optimization, simulation, forecasting, and analytics with real-world applications
High level of proficiency in Microsoft Excel and data manipulation and analysis tools
Demonstrated exemplary verbal and written communication skills inclusive of email, project documentation, and executive-level presentations
Ability to tell the story using data, and simplify complex analytics into recommendations that are easily understood for decision-making
Ability to work independently with minimal direction and knows when to seek out information or elevate issues to leadership
Ability to adapt to a rapidly changing business environment and effectively manage multiple priorities and deliver against tight deadlines
Proven partnering and relationship-building skills, working collaboratively with other teams throughout the WDW organization to achieve desired outcomes
Strong project planning, organization, and time management skills
Impeccable attention to detail
Positive change agent
Ability to handle confidential information
Resolves conflicts effectively
Preferred Qualifications :
Prior Workforce Management experience
Expertise in Python, R, Tableau
Required Education :
Bachelor’s degree in Mathematics, Industrial Engineering, Operations Research, Simulation, or related field
Preferred Education :
Advanced degree in related field
Jun 27, 2019
Full-time
The Workforce Management - Strategy & Analytics Manager works with a variety of stakeholders across WDW and within the Workforce Management organization to evaluate and deliver against Workforce Management’s top strategic priorities. Successful candidates will be strategic and analytical thinkers with business knowledge who demonstrate a passion for understanding and tackling new Operations labor frontiers.
This role combines technical, analytical and statistical skills and expertise with project management support and leadership to achieve strategic business objectives. The types of analytics required includes forecasting, optimization, regressions, and end-to-end impact calculations supporting strategic projects, ad hoc requests, what-if analyses, and methodology redesigns.
Responsibilities :
Effectively manages and leads large-scale WFM projects with cross-functional teams
Provides quick and reasonable approach and effort estimates during project planning
Conducts accurate analyses to assess business needs and impacts to frame business cases for assigned projects
Perform exploratory data analysis to gain insights into WDW Operations and identify opportunities
Outlines and clearly explains approach and methodology
Uses results of analysis to clearly lay out appropriate options and recommendations for decision making
Performs analyses to assess proposed analytical methodologies and strategic approaches
Solid understanding of the principles of workforce management operations and analytics
Supports teammates by sharing subject matter expertise and collaborating on analytics approach, design, and/or calculations
Demonstrated passion and commitment to diversity and inclusion including inviting diverse perspectives, fostering an inclusive work environment and supporting workforce diversity
Basic Qualifications :
Demonstrated strong analytical, quantitative, and problem-solving skills
Demonstrated knowledge of mathematical and statistical methods, optimization, simulation, forecasting, and analytics with real-world applications
High level of proficiency in Microsoft Excel and data manipulation and analysis tools
Demonstrated exemplary verbal and written communication skills inclusive of email, project documentation, and executive-level presentations
Ability to tell the story using data, and simplify complex analytics into recommendations that are easily understood for decision-making
Ability to work independently with minimal direction and knows when to seek out information or elevate issues to leadership
Ability to adapt to a rapidly changing business environment and effectively manage multiple priorities and deliver against tight deadlines
Proven partnering and relationship-building skills, working collaboratively with other teams throughout the WDW organization to achieve desired outcomes
Strong project planning, organization, and time management skills
Impeccable attention to detail
Positive change agent
Ability to handle confidential information
Resolves conflicts effectively
Preferred Qualifications :
Prior Workforce Management experience
Expertise in Python, R, Tableau
Required Education :
Bachelor’s degree in Mathematics, Industrial Engineering, Operations Research, Simulation, or related field
Preferred Education :
Advanced degree in related field
DTCI is seeking an intern to help product managers define and bring to market our vision for a qualified, unified dataset within the Data Platform. A successful candidate will actively assist product managers in working with the dataset to power our Custom Audience Segmentation Platform (CAMP) – which enables audience discovery and activation across advertising, marketing, content personalization and more across the DTCI media networks’ portfolio.
Responsibilities:
Assist with internal analyses and data validation for the ESPN Data Platform
Assist with User Acceptance Testing (UAT) criteria
Compile post release documentation, including workflow between the CAMP Disney product and our vendors
Measure and validate insights from across multiple datasets
Collaborate with engineering, operations, sales, and product teams to help resolve post production issues and bugs
Create templates and supporting documentation that can be referenced by technology and business stakeholders
Basic Qualifications:
Basic SQL knowledge
Proficient in Microsoft Office products including MS Excel, MS PowerPoint and MS Project
Excellent written and verbal communication and interpersonal skills
Highly organized, with the ability to multi-task
Excellent problem solving and analytical skills
Must be able to work in fast paced environment and deliver quality work on time
Preferred Qualifications:
Advanced SQL proficiency and/or familiarity with Python or other languages
Experience with ad-tech and ad-serving platforms
Additional Information:
Internship Eligibility:
Must be enrolled in an accredited 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 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
Must provide full work availability during Program Length (listed below)
Must provide own transportation to/from work
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 Length:
The approximate dates of this internship are September 9 - November 16, 2019
Ability to provide own relocation, housing and transportation. Position is located in New York. Interns must be fully available for the duration of the internship. Recommendation – Print or Save This Role Description: Strong candidates may be invited to complete a phone interview. We strongly encourage applicants to print a copy of this role description so they can refer to it in the event they are selected for a phone interview.
Jun 26, 2019
Internship
DTCI is seeking an intern to help product managers define and bring to market our vision for a qualified, unified dataset within the Data Platform. A successful candidate will actively assist product managers in working with the dataset to power our Custom Audience Segmentation Platform (CAMP) – which enables audience discovery and activation across advertising, marketing, content personalization and more across the DTCI media networks’ portfolio.
Responsibilities:
Assist with internal analyses and data validation for the ESPN Data Platform
Assist with User Acceptance Testing (UAT) criteria
Compile post release documentation, including workflow between the CAMP Disney product and our vendors
Measure and validate insights from across multiple datasets
Collaborate with engineering, operations, sales, and product teams to help resolve post production issues and bugs
Create templates and supporting documentation that can be referenced by technology and business stakeholders
Basic Qualifications:
Basic SQL knowledge
Proficient in Microsoft Office products including MS Excel, MS PowerPoint and MS Project
Excellent written and verbal communication and interpersonal skills
Highly organized, with the ability to multi-task
Excellent problem solving and analytical skills
Must be able to work in fast paced environment and deliver quality work on time
Preferred Qualifications:
Advanced SQL proficiency and/or familiarity with Python or other languages
Experience with ad-tech and ad-serving platforms
Additional Information:
Internship Eligibility:
Must be enrolled in an accredited 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 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
Must provide full work availability during Program Length (listed below)
Must provide own transportation to/from work
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 Length:
The approximate dates of this internship are September 9 - November 16, 2019
Ability to provide own relocation, housing and transportation. Position is located in New York. Interns must be fully available for the duration of the internship. Recommendation – Print or Save This Role Description: Strong candidates may be invited to complete a phone interview. We strongly encourage applicants to print a copy of this role description so they can refer to it in the event they are selected for a phone interview.
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 products and services that help Hilton's mission to create heartfelt experiences for our customers. You will be an ambassador bringing values of big data to fruition and serving as the primary resource for building advanced analytics models for Hilton's customer initiatives, including but not limited to propensity modeling, customer centric pricing, loyalty, user experience, next best action, search optimization, direct marketing, and Internet of Things (IoT - connected room) initiatives.
More specifically, you will:
Work closely with business and technical teams to capture, analyze and understand business requirements, translating activities and business objectives into parameters for analytical models.
Design, 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.
Perform analysis on existing data, suggest new potential data sets to identify and foster innovative advanced analytics opportunities.
Facilitate and identify repeatable testing strategies for measuring results produced by analytics models.
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 assertive 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
Self-starter, detail-oriented and assertive team player, willing to take ownership of responsibilities, and possess a high level of integrity and positive attitude preferred
To fulfill this role successfully, you must possess the following minimum qualifications and experience:
BA/BS Bachelor's Degree
Three (3) years of professional experience
Two (2) years of hands-on experience in designing and implementing real-time statistical models and machine learning algorithms for scalable production environments
One (1) year of experience in a full life-cycle analytics model environment, including development, deployment and maintenance efforts
Exceptional problem solving capabilities, including analytical, quantitative and statistical skills
Solid experience with programming skills: R, Python, Spark/Scala, Java, C/C++ and SQL
It would be advantageous in this position for you to demonstrate the following capabilities and distinctions:
MA/MS Master's Degree
Two (2) years of hands-on experience in optimization, artificial intelligence, natural language processing, and/or deep learning
Two (2) years of hands-on experience working on projects related to Personalization, Sales and Marketing, Customer Analytics, Digital Analytics, and/or Loyalty
Exposure to IoT technology
Knowledge of data structure and management, Business Intelligence (BI) and dashboard reporting in a big data environment
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 products and services that help Hilton's mission to create heartfelt experiences for our customers. You will be an ambassador bringing values of big data to fruition and serving as the primary resource for building advanced analytics models for Hilton's customer initiatives, including but not limited to propensity modeling, customer centric pricing, loyalty, user experience, next best action, search optimization, direct marketing, and Internet of Things (IoT - connected room) initiatives.
More specifically, you will:
Work closely with business and technical teams to capture, analyze and understand business requirements, translating activities and business objectives into parameters for analytical models.
Design, 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.
Perform analysis on existing data, suggest new potential data sets to identify and foster innovative advanced analytics opportunities.
Facilitate and identify repeatable testing strategies for measuring results produced by analytics models.
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 assertive 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
Self-starter, detail-oriented and assertive team player, willing to take ownership of responsibilities, and possess a high level of integrity and positive attitude preferred
To fulfill this role successfully, you must possess the following minimum qualifications and experience:
BA/BS Bachelor's Degree
Three (3) years of professional experience
Two (2) years of hands-on experience in designing and implementing real-time statistical models and machine learning algorithms for scalable production environments
One (1) year of experience in a full life-cycle analytics model environment, including development, deployment and maintenance efforts
Exceptional problem solving capabilities, including analytical, quantitative and statistical skills
Solid experience with programming skills: R, Python, Spark/Scala, Java, C/C++ and SQL
It would be advantageous in this position for you to demonstrate the following capabilities and distinctions:
MA/MS Master's Degree
Two (2) years of hands-on experience in optimization, artificial intelligence, natural language processing, and/or deep learning
Two (2) years of hands-on experience working on projects related to Personalization, Sales and Marketing, Customer Analytics, Digital Analytics, and/or Loyalty
Exposure to IoT technology
Knowledge of data structure and management, Business Intelligence (BI) and dashboard reporting in a big data environment
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
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.
Leads the identification of optimal research and analysis methodologies to be used to provide key findings that will address a broad range of complex business questions. Supports advanced analytics/data modeling. Provides technical leadership to data scientists and business stakeholders to define data requirements, perform gap analysis, source and transform data to support exploratory data analysis, and design models.
Primary Responsibilities:
Leads multiple, high impact data research/analytics projects and programs.
Collaborates with and provides consulting to business partners to understand strategic requirements and corresponding needs for insight/information, and recommends optimal research and analytical approaches.
Delivers key findings for multiple projects/programs to business leader's and assists with decision making and prioritization of initiatives.
Serves as Subject Matter Expert for implementation of new approaches and identification of optimal blend of research/analytic techniques.
Provides end-to-end solutions that can tum complex and large volumes of data into 'intelligent data' that can answer critical business questions.
Provides leadership in the development of test strategy and measurement plans.
Plans, implements, and tracks long-term and short-term data projects.
Partners with technology teams to operationalize findings from exploratory data sourcing sprints.
Education and Experience:
Bachelor's degree (or foreign education equivalent) in Computer Science, Engineering, Business Administration, Marketing, Mathematics, Statistics, or a closely related field and six (6) years of experience in the job offered or six (6) years of experience in ad hoc data mining and predictive modeling to support investment management distribution strategy for CRM.
Or, alternatively, a Master's degree (or foreign education equivalent) in Computer Science, Engineering, Business Administration, Marketing, Mathematics, Statistics, or a closely related field and four (4) years of experience in the job offered or four ( 4) years of experience in ad hoc data mining and predictive modeling to support investment management distribution strategy for CRM.
Skills and Knowledge:
Candidate must also possess:
Demonstrated Expertise ("DE") extracting large datasets for predictive modeling and time series analysis using SPSS for financial distribution center and financial products in Oracle-based Star and Relational databases.
DE analyzing data from Oracle-based Star and Relational database CRM systems to identify sales opportunities in financial distribution and financial products, and to measure the results of client interactions in these opportunities with field and phone wholesalers and marketing initiatives.
DE developing client segmentation analysis to support multi-channel financial distribution and financial products sales and marketing efforts, including segmenting clients based on different financial products related to channel sales strategy and developing linear and logistic regression models for customer segmentation.
DE analyzing and presenting results of financial products sales and marketing to senior executives and making recommendation to marketing and sales stakeholders
May 04, 2019
Full-time
Leads the identification of optimal research and analysis methodologies to be used to provide key findings that will address a broad range of complex business questions. Supports advanced analytics/data modeling. Provides technical leadership to data scientists and business stakeholders to define data requirements, perform gap analysis, source and transform data to support exploratory data analysis, and design models.
Primary Responsibilities:
Leads multiple, high impact data research/analytics projects and programs.
Collaborates with and provides consulting to business partners to understand strategic requirements and corresponding needs for insight/information, and recommends optimal research and analytical approaches.
Delivers key findings for multiple projects/programs to business leader's and assists with decision making and prioritization of initiatives.
Serves as Subject Matter Expert for implementation of new approaches and identification of optimal blend of research/analytic techniques.
Provides end-to-end solutions that can tum complex and large volumes of data into 'intelligent data' that can answer critical business questions.
Provides leadership in the development of test strategy and measurement plans.
Plans, implements, and tracks long-term and short-term data projects.
Partners with technology teams to operationalize findings from exploratory data sourcing sprints.
Education and Experience:
Bachelor's degree (or foreign education equivalent) in Computer Science, Engineering, Business Administration, Marketing, Mathematics, Statistics, or a closely related field and six (6) years of experience in the job offered or six (6) years of experience in ad hoc data mining and predictive modeling to support investment management distribution strategy for CRM.
Or, alternatively, a Master's degree (or foreign education equivalent) in Computer Science, Engineering, Business Administration, Marketing, Mathematics, Statistics, or a closely related field and four (4) years of experience in the job offered or four ( 4) years of experience in ad hoc data mining and predictive modeling to support investment management distribution strategy for CRM.
Skills and Knowledge:
Candidate must also possess:
Demonstrated Expertise ("DE") extracting large datasets for predictive modeling and time series analysis using SPSS for financial distribution center and financial products in Oracle-based Star and Relational databases.
DE analyzing data from Oracle-based Star and Relational database CRM systems to identify sales opportunities in financial distribution and financial products, and to measure the results of client interactions in these opportunities with field and phone wholesalers and marketing initiatives.
DE developing client segmentation analysis to support multi-channel financial distribution and financial products sales and marketing efforts, including segmenting clients based on different financial products related to channel sales strategy and developing linear and logistic regression models for customer segmentation.
DE analyzing and presenting results of financial products sales and marketing to senior executives and making recommendation to marketing and sales stakeholders
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.
Advance Process Solutions (APS) is looking for top UI developer talent that can, via skilled development, drive high user satisfaction as it relates to the work flow and business process related web tools within our product portfolio. This role will play a key part in developing industry standard and best-practice web applications – utilizing modern and cutting-edge development languages, frameworks and methodologies.
The Team
As part of the APS business unit within Fidelity Investments, you will join a Scrum team of 6-8 highly skilled individuals tasked with re-imagining the next generation of Fidelity’s work flow suite of tools – this team will be highly focused on the UI side of this effort; challenged to craft a state of the art front-end experience that creates symmetry across a suite of related products.
The Expertise You Have
Bachelor’s Degree in Computer Science / similar technical discipline and or equivalent experience
5+ years web development using HTML / CSS / JavaScript
3+ years expert JavaScript development skills required
Skills in jQuery, Angular, Backbone, Require, Bower, Browserify, or other advanced JavaScript skills are required
Familiarity with AWS and other cloud-based development methodologies / best-practices
Experience with Restful APIs is a plus
Server-side experience also a plus – Java / .NET / Node.js / Golang, etc.
The Skills You Bring
You have experience with modern web application packaging and deployment using Yeoman, Grunt / Gulp
You have experience with Maven, Nexus, Git, NPM, Jenkins
You have superb communication skills
You have a strong problem resolution skills
You have the ability to work in a team-oriented environment
The Value You Deliver
Accountable for consistent delivery of functional software – sprint to sprint, release to release
High level execution of web development best-practices per Fidelity processes and standards
Devising or modifying procedures to tackle dynamic and complex business problems
Excellence in software development practices and procedures
Participating in application level architecture
Developing original and creative technical solutions to on-going development efforts
Responsible for QA readiness of software deliverables (end-to-end tests, unit tests, automation)
Dedicatedly supporting implementation of moderate-scope projects or major initiatives
Working on dynamic and complex assignments and often multiple phases of a project
Assisting in developing departmental technical policies and procedures
Assisting in establishing project plans for projects of moderate scope
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. We are proud of our diverse and inclusive workplace where we respect and value our associate for their unique perspectives and experiences.
Fidelity Investments is an equal opportunity employer.
May 04, 2019
Full-time
Advance Process Solutions (APS) is looking for top UI developer talent that can, via skilled development, drive high user satisfaction as it relates to the work flow and business process related web tools within our product portfolio. This role will play a key part in developing industry standard and best-practice web applications – utilizing modern and cutting-edge development languages, frameworks and methodologies.
The Team
As part of the APS business unit within Fidelity Investments, you will join a Scrum team of 6-8 highly skilled individuals tasked with re-imagining the next generation of Fidelity’s work flow suite of tools – this team will be highly focused on the UI side of this effort; challenged to craft a state of the art front-end experience that creates symmetry across a suite of related products.
The Expertise You Have
Bachelor’s Degree in Computer Science / similar technical discipline and or equivalent experience
5+ years web development using HTML / CSS / JavaScript
3+ years expert JavaScript development skills required
Skills in jQuery, Angular, Backbone, Require, Bower, Browserify, or other advanced JavaScript skills are required
Familiarity with AWS and other cloud-based development methodologies / best-practices
Experience with Restful APIs is a plus
Server-side experience also a plus – Java / .NET / Node.js / Golang, etc.
The Skills You Bring
You have experience with modern web application packaging and deployment using Yeoman, Grunt / Gulp
You have experience with Maven, Nexus, Git, NPM, Jenkins
You have superb communication skills
You have a strong problem resolution skills
You have the ability to work in a team-oriented environment
The Value You Deliver
Accountable for consistent delivery of functional software – sprint to sprint, release to release
High level execution of web development best-practices per Fidelity processes and standards
Devising or modifying procedures to tackle dynamic and complex business problems
Excellence in software development practices and procedures
Participating in application level architecture
Developing original and creative technical solutions to on-going development efforts
Responsible for QA readiness of software deliverables (end-to-end tests, unit tests, automation)
Dedicatedly supporting implementation of moderate-scope projects or major initiatives
Working on dynamic and complex assignments and often multiple phases of a project
Assisting in developing departmental technical policies and procedures
Assisting in establishing project plans for projects of moderate scope
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. We are proud of our diverse and inclusive workplace where we respect and value our associate for their unique perspectives and experiences.
Fidelity Investments is an equal opportunity employer.
Fidelity Personal Investing – Client Solutions Technology Chapter Area is looking for a passionate Full Software Engineer-Analyst to build and support world-class products for its highly business critical Planning & Advice Platform Tribe. Our engineering team is innovative, diverse, passionate and self-driven. We work in a very dynamic agile environment.
The Team
Our ever-evolving technology stack ensures a great learning culture in the team. We are always exploring new technologies and new ways to continually provide value to our customers. This team has a direct and positive impact on Fidelity’s customers. As an engineer-analyst on the team, your primary role will be building, testing and engineering REST API’s on our Planning & Advice Platform. You are expected to quickly gain an understanding of all the components of our platform to be able to contribute to initiatives related to the enhancement, maintenance, and support of the platform. The team embraces agile in letter and spirit. So you will be expected to wear multiple hats of analysis and story grooming, development and testing.
The Expertise You Have
Bachelor's degree in Computer Science or Engineering
2-4 years of development experience in Java, Spring MVC / Spring Core / Web Services (SOAP/REST) and configuring web containers.
Design patterns, UML.
Test Driven Development, Junit, Jasmine, Karma, Protractor.
IDE’s Spring Tool Suite, and Eclipse, within a UNIX and Windows environment.
Application build, deploy using Continuous Integration/ Deployment (CI/CD) tools -- Jenkins, Maven, uDeploy, etc.
The Skills You Bring
You are able to write SQL queries and debug stored procedures within an Oracle environment.
You have an understanding of Docker, cloud-computing / cloud services platforms (e.g. AWS or azure).
You display leadership, are a team player, collaborative, innovative, and eager to learn every day.
You are a self-starter, and will actively challenge status-quo, are curious and not afraid to ask “Why” and “What if”?
The Value You Deliver
Understanding the leadership vision and executing on that vision.
Helping further strengthen the culture of innovation by setting examples.
Finding creative ways to get things done, and executing with high quality.
Fostering a culture of best in class software engineering practices.
Exercising a passion for keeping your knowledge up-to-date and displaying a growth mindset.
Helping maintain the high level of integrity in the team.
Taking ownership and accountability for figuring out what needs to be done.
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. We are proud of our diverse and inclusive workplace where we respect and value our associate for their unique perspectives and experiences.
Fidelity Investments is an equal opportunity employer.
May 04, 2019
Full-time
Fidelity Personal Investing – Client Solutions Technology Chapter Area is looking for a passionate Full Software Engineer-Analyst to build and support world-class products for its highly business critical Planning & Advice Platform Tribe. Our engineering team is innovative, diverse, passionate and self-driven. We work in a very dynamic agile environment.
The Team
Our ever-evolving technology stack ensures a great learning culture in the team. We are always exploring new technologies and new ways to continually provide value to our customers. This team has a direct and positive impact on Fidelity’s customers. As an engineer-analyst on the team, your primary role will be building, testing and engineering REST API’s on our Planning & Advice Platform. You are expected to quickly gain an understanding of all the components of our platform to be able to contribute to initiatives related to the enhancement, maintenance, and support of the platform. The team embraces agile in letter and spirit. So you will be expected to wear multiple hats of analysis and story grooming, development and testing.
The Expertise You Have
Bachelor's degree in Computer Science or Engineering
2-4 years of development experience in Java, Spring MVC / Spring Core / Web Services (SOAP/REST) and configuring web containers.
Design patterns, UML.
Test Driven Development, Junit, Jasmine, Karma, Protractor.
IDE’s Spring Tool Suite, and Eclipse, within a UNIX and Windows environment.
Application build, deploy using Continuous Integration/ Deployment (CI/CD) tools -- Jenkins, Maven, uDeploy, etc.
The Skills You Bring
You are able to write SQL queries and debug stored procedures within an Oracle environment.
You have an understanding of Docker, cloud-computing / cloud services platforms (e.g. AWS or azure).
You display leadership, are a team player, collaborative, innovative, and eager to learn every day.
You are a self-starter, and will actively challenge status-quo, are curious and not afraid to ask “Why” and “What if”?
The Value You Deliver
Understanding the leadership vision and executing on that vision.
Helping further strengthen the culture of innovation by setting examples.
Finding creative ways to get things done, and executing with high quality.
Fostering a culture of best in class software engineering practices.
Exercising a passion for keeping your knowledge up-to-date and displaying a growth mindset.
Helping maintain the high level of integrity in the team.
Taking ownership and accountability for figuring out what needs to be done.
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. We are proud of our diverse and inclusive workplace where we respect and value our associate for their unique perspectives and experiences.
Fidelity Investments is an equal opportunity employer.
eBay is diversifying payments, this role will be power Payments ecosystem by providing insights to executive leadership, analytics related to fraud solutions, value proposition and innovation related to the overall customer experience for eBay!
Looking for a company that inspires passion, courage and imagination, where you can be part of the team shaping the future of global commerce? Want to shape how millions of people buy, sell, connect, and share around the world? If you’re interested in joining a purpose driven community that is dedicated to creating an ambitious and inclusive workplace, join eBay – a company you can be proud to be a part of.
The Global Payments, Billing & Risk (GPBR) function at eBay works to ensure great experiences when buyers and sellers come together and engage in commerce on the biggest marketplace in the world. This involves comprehensively understanding Payments & Risks on eBay. Identifying the opportunity areas and helping build scalable solutions to drive great user experience.
Analytics is a critical need for each area. Core analytics capabilities include the ability to instrument right KPI’s, identify the landscape of entire function, figure out opportunities for improvement work with product and payment providers to craft scalable solutions, and monitor their performance.
The GPBR Analytics and Insights team builds this behavioral intelligence by exploring innovative interpretations of existing and new sources of data, using advanced analytical techniques, and overlaying the appropriate strategies to deliver world-class results. The group is multi-disciplinary with broad spectrum of industry experiences and deep analytical and quantitative expertise. The group is currently seeking a high energy, driven, collaborative team member that brings extensive problem solving skills to further its goal of applying cutting-edge analytics, Insights and visualization to drive payments roadmap.
The role is data and analytically intensive. Successful candidates should be quick learners, strategic thinkers, operational and execution driven facilitators, problem solvers, and have an entrepreneurial spirit. This role is heavily cross-functional and ideal for candidates who enjoy both defining and solving complex problems, while getting deeply involved in the classification domain and product partners. Skills in problem definition, rigorous analysis, and recommendation development will also be critical as well as demonstration of exceptional interpersonal skills, initiative and integrity.
Responsibilities
Develop a deep understanding of Payments ecosystem and associated risks. Model seller and buyer risk for the market place business
Structure complex, ambiguous business questions and utilize analytical skills to synthesize actionable insights to the benefit of leaders in the organization
Discover new opportunities to grow and optimize the business through analytics, financial modeling, and business case development.
Own the domain and associated deep dive analytics.
Design, plan, and execute methodologies to measure successes of business initiatives.
Collaborate with other analysts/data scientists and help guide strategy based on learning from other analyses/projects across the organization
Perform analysis, hypothesis testing, build risk strategy and policy recommendation. Conduct product performance A/B test analysis.
Create and maintain insightful automated reports and dashboards utilizing typical data quality functions (e.g. standardization, consistency, etc.)
Work closely across the matrix with teams like Finance, Marketing, Product, Engineering and senior executives
Qualifications
Bachelor’s degree in Computer Science, Engineering, MIS or other quantitative fields
5+ years’ of professional experience in using data to facilitate business decisions
Extensive experience in BI/DW best practices
Experience in efficient manipulation and analysis of large data sets
Proficiency in databases (SQL), and programming languages (at least one of following: Python, R, Ruby, Java, etc)
Exceptionally attentive to detail and embracing of teamwork
People-oriented; eager to build positive and productive relationships with a variety of stakeholders
Experience manipulating large data sets, interpreting data trends and using a multitude of disparate data sources and tools
Ability to shift priorities quickly, while maintaining a high degree of organization and control
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
eBay is diversifying payments, this role will be power Payments ecosystem by providing insights to executive leadership, analytics related to fraud solutions, value proposition and innovation related to the overall customer experience for eBay!
Looking for a company that inspires passion, courage and imagination, where you can be part of the team shaping the future of global commerce? Want to shape how millions of people buy, sell, connect, and share around the world? If you’re interested in joining a purpose driven community that is dedicated to creating an ambitious and inclusive workplace, join eBay – a company you can be proud to be a part of.
The Global Payments, Billing & Risk (GPBR) function at eBay works to ensure great experiences when buyers and sellers come together and engage in commerce on the biggest marketplace in the world. This involves comprehensively understanding Payments & Risks on eBay. Identifying the opportunity areas and helping build scalable solutions to drive great user experience.
Analytics is a critical need for each area. Core analytics capabilities include the ability to instrument right KPI’s, identify the landscape of entire function, figure out opportunities for improvement work with product and payment providers to craft scalable solutions, and monitor their performance.
The GPBR Analytics and Insights team builds this behavioral intelligence by exploring innovative interpretations of existing and new sources of data, using advanced analytical techniques, and overlaying the appropriate strategies to deliver world-class results. The group is multi-disciplinary with broad spectrum of industry experiences and deep analytical and quantitative expertise. The group is currently seeking a high energy, driven, collaborative team member that brings extensive problem solving skills to further its goal of applying cutting-edge analytics, Insights and visualization to drive payments roadmap.
The role is data and analytically intensive. Successful candidates should be quick learners, strategic thinkers, operational and execution driven facilitators, problem solvers, and have an entrepreneurial spirit. This role is heavily cross-functional and ideal for candidates who enjoy both defining and solving complex problems, while getting deeply involved in the classification domain and product partners. Skills in problem definition, rigorous analysis, and recommendation development will also be critical as well as demonstration of exceptional interpersonal skills, initiative and integrity.
Responsibilities
Develop a deep understanding of Payments ecosystem and associated risks. Model seller and buyer risk for the market place business
Structure complex, ambiguous business questions and utilize analytical skills to synthesize actionable insights to the benefit of leaders in the organization
Discover new opportunities to grow and optimize the business through analytics, financial modeling, and business case development.
Own the domain and associated deep dive analytics.
Design, plan, and execute methodologies to measure successes of business initiatives.
Collaborate with other analysts/data scientists and help guide strategy based on learning from other analyses/projects across the organization
Perform analysis, hypothesis testing, build risk strategy and policy recommendation. Conduct product performance A/B test analysis.
Create and maintain insightful automated reports and dashboards utilizing typical data quality functions (e.g. standardization, consistency, etc.)
Work closely across the matrix with teams like Finance, Marketing, Product, Engineering and senior executives
Qualifications
Bachelor’s degree in Computer Science, Engineering, MIS or other quantitative fields
5+ years’ of professional experience in using data to facilitate business decisions
Extensive experience in BI/DW best practices
Experience in efficient manipulation and analysis of large data sets
Proficiency in databases (SQL), and programming languages (at least one of following: Python, R, Ruby, Java, etc)
Exceptionally attentive to detail and embracing of teamwork
People-oriented; eager to build positive and productive relationships with a variety of stakeholders
Experience manipulating large data sets, interpreting data trends and using a multitude of disparate data sources and tools
Ability to shift priorities quickly, while maintaining a high degree of organization and control
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.
