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 part of the Marketing & Sales center of excellence for Disney Parks, Experiences and Products. 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 discovery, planning, transacting, and management to enable decision making and optimization. The Travel Operations Analyst will provide measurement and analytical support for contact centers at Walt Disney World. He/she will partner with operations leaders to evaluate the performance of existing processes and develop measurement plans to evaluate new strategies and technology designed to improve the guest experience and drive business results. In order to succeed in the role, the candidate must be comfortable working with partners, preparing recurring reporting, conducting both planned and ad hoc analyses, and communicating insights to stakeholders. This position reports to the Travel Operations Analytics Manager and has no direct reports.
Responsibilities :
Build, maintain, and distribute recurring contact center reporting
Provide analytic expertise on contact center eCommerce teams (web chat, in-app messaging, email)
Perform data discovery and documentation on new data sources
Partner with Data Services teams to build automated processes and troubleshoot data discrepancies
Develop monthly performance recommendations to support the variable pay program
Provide analytical support to the contact center Project Development and Technology Solutions teams, measuring and interpreting the business impact of new initiatives and technology enhancements.
Develop presentations that provide quantitative analysis and recommendations to stakeholders on assigned projects
Basic Qualifications :
1+ years of analytical and data exploration experience
Excellent problem solving skills with the ability to proactively identify and develop solutions to complex questions
Proven ability to manage analytics projects from discovery through completion
Understand how to derive actionable insights from data
Excellent written and verbal communication skills
Ability to maintain and grow relationships with partners/clients/team
Proficiency with reporting, data visualization, and analytical tools such as Excel, SQL, Tableau, R, SAS, and/or Python
Preferred Qualifications :
Understanding of contact center and web metrics
Experience using forecasting methodologies
Demonstrated ability to apply statistical rigor to analysis
Understanding of chat and messaging technology
Experience in text mining, sentiment analysis and/or natural language processing
Required Education :
Bachelor’s degree in an analytical/quantitative field
Preferred Education :
Graduate degree in an analytical/quantitative field
Jun 29, 2019
Full-time
Consumer Insight, Measurement & Analytics (CIMA) is part of the Marketing & Sales center of excellence for Disney Parks, Experiences and Products. 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 discovery, planning, transacting, and management to enable decision making and optimization. The Travel Operations Analyst will provide measurement and analytical support for contact centers at Walt Disney World. He/she will partner with operations leaders to evaluate the performance of existing processes and develop measurement plans to evaluate new strategies and technology designed to improve the guest experience and drive business results. In order to succeed in the role, the candidate must be comfortable working with partners, preparing recurring reporting, conducting both planned and ad hoc analyses, and communicating insights to stakeholders. This position reports to the Travel Operations Analytics Manager and has no direct reports.
Responsibilities :
Build, maintain, and distribute recurring contact center reporting
Provide analytic expertise on contact center eCommerce teams (web chat, in-app messaging, email)
Perform data discovery and documentation on new data sources
Partner with Data Services teams to build automated processes and troubleshoot data discrepancies
Develop monthly performance recommendations to support the variable pay program
Provide analytical support to the contact center Project Development and Technology Solutions teams, measuring and interpreting the business impact of new initiatives and technology enhancements.
Develop presentations that provide quantitative analysis and recommendations to stakeholders on assigned projects
Basic Qualifications :
1+ years of analytical and data exploration experience
Excellent problem solving skills with the ability to proactively identify and develop solutions to complex questions
Proven ability to manage analytics projects from discovery through completion
Understand how to derive actionable insights from data
Excellent written and verbal communication skills
Ability to maintain and grow relationships with partners/clients/team
Proficiency with reporting, data visualization, and analytical tools such as Excel, SQL, Tableau, R, SAS, and/or Python
Preferred Qualifications :
Understanding of contact center and web metrics
Experience using forecasting methodologies
Demonstrated ability to apply statistical rigor to analysis
Understanding of chat and messaging technology
Experience in text mining, sentiment analysis and/or natural language processing
Required Education :
Bachelor’s degree in an analytical/quantitative field
Preferred Education :
Graduate degree in an analytical/quantitative field
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.
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
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.
Overview
We have an exciting opportunity on a team that is defining how we use analytics to transform customer experiences, accelerate business growth and optimize our growth efforts. We are looking for a data-driven individual with excellent analytical skills, experience in product conversion and a passion for delivering data-driven insights to join Intuit’s Analytics Center of Excellence for TurboTax.
Responsibilities
Partners with business leaders (e.g. marketing, product and customer success) to define business strategies, areas of investment, and critical priorities
Leads and nurtures a team of talented analysts with a focus on product conversion, key customer benefit metrics, and end-to-end customer experiences
Build recommendations by synthesizing multiple types of data, developing assumptions in lieu of data and using external sources to help drive business learnings and strategy development
Uses quantitative data gathered with software measurement tools, click streams and drill-downs to develop an understanding of customer behavior and make product experience recommendations
Applies statistics-based market intelligence to business issues and formulates recommendations
Define, implement and standardize metrics, reports and dashboards leveraging Tableau or other data visualization tools
Collaborate both internally and externally to ensure reporting solutions are scalable, repeatable, effective, and meet the expectations of internal customers
Take the lead on TurboTax product initiatives by defining useful hypotheses, designing robust experiments, analyzing results, presenting insights to business stakeholders and putting lessons learned into practice
Answer ad-hoc analytic questions, contribute to decision-making through opportunity sizing, and train users to self-serve standard reports leveraging Tableau
Pursue data quality, troubleshoot data validation, and see issues to resolution
Ensure data collection is optimized to provide crystal-clear visibility into the impact and value of new initiatives and product releases
Qualifications
7-10 years of web analytics or product analytics experience
Deep Subject matter expertise with clickstream data and SQL is a must
Understanding of complex web ecosystems, best practices and ability to put this knowledge into action
Experience with Tableau or another reporting solution a plus
Ability to tell stories with data, educate effectively, and instill confidence, motivating stakeholders to act on recommendations
Excellent problem-solving skills and end to end quantitative thinking
Ability to manage multiple projects simultaneously to meet objectives and key deadlines
Outstanding communications skills with both technical and non-technical colleagues
Proactive and inquisitive learner... seeks out and capitalizes on opportunities for change that enhance the business, rather than reacting to circumstances.
Imagine a career where your creative inspiration can fuel BIG innovation. Year-over-year, Intuit has been recognized as a best employer and is consistently ranked on Fortune's "100 Best Companies To Work For" and Fortune World's "Most Admired Software Companies" lists. Immerse yourself in our award winning culture while creating breakthrough solutions that simplify the lives of consumers and small businesses and their customers worldwide.
Intuit is expanding its social, mobile, and global footprint with a full suite of products and services that are revolutionizing the industry. Utilizing design for delight and lean startup methodologies, our entrepreneurial employees have brought more than 250 innovations to market – from QuickBooks® and TurboTax®, to GoPayment, Mint.com, big data, cloud (SaaS, PaaS) and mobile apps. The breadth and depth of these customer-driven innovations mean limitless opportunities for you to turn your ingenious ideas into reality at Intuit.
Discover what it's like to be part of a team that rewards taking risks and trying new things. It's time to love what you do! Check out all of our career opportunities at: careers.intuit.com. EOE AA M/F/Vet/Disability
Intuit will consider for employment qualified applicants with criminal histories in a manner consistent with requirements of local law.
May 02, 2019
Full-time
Overview
We have an exciting opportunity on a team that is defining how we use analytics to transform customer experiences, accelerate business growth and optimize our growth efforts. We are looking for a data-driven individual with excellent analytical skills, experience in product conversion and a passion for delivering data-driven insights to join Intuit’s Analytics Center of Excellence for TurboTax.
Responsibilities
Partners with business leaders (e.g. marketing, product and customer success) to define business strategies, areas of investment, and critical priorities
Leads and nurtures a team of talented analysts with a focus on product conversion, key customer benefit metrics, and end-to-end customer experiences
Build recommendations by synthesizing multiple types of data, developing assumptions in lieu of data and using external sources to help drive business learnings and strategy development
Uses quantitative data gathered with software measurement tools, click streams and drill-downs to develop an understanding of customer behavior and make product experience recommendations
Applies statistics-based market intelligence to business issues and formulates recommendations
Define, implement and standardize metrics, reports and dashboards leveraging Tableau or other data visualization tools
Collaborate both internally and externally to ensure reporting solutions are scalable, repeatable, effective, and meet the expectations of internal customers
Take the lead on TurboTax product initiatives by defining useful hypotheses, designing robust experiments, analyzing results, presenting insights to business stakeholders and putting lessons learned into practice
Answer ad-hoc analytic questions, contribute to decision-making through opportunity sizing, and train users to self-serve standard reports leveraging Tableau
Pursue data quality, troubleshoot data validation, and see issues to resolution
Ensure data collection is optimized to provide crystal-clear visibility into the impact and value of new initiatives and product releases
Qualifications
7-10 years of web analytics or product analytics experience
Deep Subject matter expertise with clickstream data and SQL is a must
Understanding of complex web ecosystems, best practices and ability to put this knowledge into action
Experience with Tableau or another reporting solution a plus
Ability to tell stories with data, educate effectively, and instill confidence, motivating stakeholders to act on recommendations
Excellent problem-solving skills and end to end quantitative thinking
Ability to manage multiple projects simultaneously to meet objectives and key deadlines
Outstanding communications skills with both technical and non-technical colleagues
Proactive and inquisitive learner... seeks out and capitalizes on opportunities for change that enhance the business, rather than reacting to circumstances.
Imagine a career where your creative inspiration can fuel BIG innovation. Year-over-year, Intuit has been recognized as a best employer and is consistently ranked on Fortune's "100 Best Companies To Work For" and Fortune World's "Most Admired Software Companies" lists. Immerse yourself in our award winning culture while creating breakthrough solutions that simplify the lives of consumers and small businesses and their customers worldwide.
Intuit is expanding its social, mobile, and global footprint with a full suite of products and services that are revolutionizing the industry. Utilizing design for delight and lean startup methodologies, our entrepreneurial employees have brought more than 250 innovations to market – from QuickBooks® and TurboTax®, to GoPayment, Mint.com, big data, cloud (SaaS, PaaS) and mobile apps. The breadth and depth of these customer-driven innovations mean limitless opportunities for you to turn your ingenious ideas into reality at Intuit.
Discover what it's like to be part of a team that rewards taking risks and trying new things. It's time to love what you do! Check out all of our career opportunities at: careers.intuit.com. EOE AA M/F/Vet/Disability
Intuit will consider for employment qualified applicants with criminal histories in a manner consistent with requirements of local law.
Slack is looking for an BI Analyst to join our Business Technology Data and Analytics Team to help drive the understanding of product, user acquisition & expansion, and success of the selling Slack’s products. This person will have deep technical skills to complement their analytical experience and will be comfortable working with business partners to understand the business strategy and build out dashboards/scorecards to provide insights for better decisions and self-serve for smarter operation. They will be solving business problems, collaborating across teams, and passionate about having a huge impact on a growing team.
Slack has a positive, diverse, and supportive culture—we look for people who are curious, inventive, and work to be a little better every single day. In our work together we aim to be smart, humble, hardworking and, above all, collaborative. If this sounds like a good fit for you, why not say hello?
What you will be doing
Collaborate across Marketing, Product teams and business leaders to understand business questions that data can answer to drive insights
Build and manage dashboards, scorecards, and other analytical services
Develop analytics solutions that bring analytics to life using design thinking concepts
Design, build and automate key business metrics into one visualization to tell a story
Build processes and standards that build trust with data and provide consistent metrics across the organization
What you should have
Minimum of 3 years of analytics experience working with Marketing organizations
3+ Years’ experience with modern analytics tools such as Looker, Tableau, Qlik, etc.
Bachelor’s degree with emphasis on coursework of a quantitative nature (Information Systems, Computer Science, Data Science or related area)
Experience working with Data Engineering teams
Knowledge of tools like Salesforce, Marketo Cloud, gainsight, xactly is a plus
Experience in scripting with SQL, extracting large sets of data, and design of ETL flows
Business analysis and requirements gathering abilities
Design thinking concepts or other visualization concepts that drive story-telling
Strong organizational skills; demonstrated ability to manage small technology projects
Strong verbal and written communication skills
Strong collaboration skills to work with others towards the same outcome and drive results
Ability to operate as the point of contact for the business partner
Ability to work in diverse, fast paced environment and effectively collaborate across teams
Ability to learn technology quickly through instruction and self-training
Python/R and other analytics languages is a plus
Slack is an Equal Opportunity Employer and participant in the U.S. Federal E-Verify program. Women, minorities, individuals with disabilities and protected veterans are encouraged to apply. Slack will consider qualified applicants with criminal histories in a manner consistent with the San Francisco Fair Chance Ordinance.
May 01, 2019
Full-time
Slack is looking for an BI Analyst to join our Business Technology Data and Analytics Team to help drive the understanding of product, user acquisition & expansion, and success of the selling Slack’s products. This person will have deep technical skills to complement their analytical experience and will be comfortable working with business partners to understand the business strategy and build out dashboards/scorecards to provide insights for better decisions and self-serve for smarter operation. They will be solving business problems, collaborating across teams, and passionate about having a huge impact on a growing team.
Slack has a positive, diverse, and supportive culture—we look for people who are curious, inventive, and work to be a little better every single day. In our work together we aim to be smart, humble, hardworking and, above all, collaborative. If this sounds like a good fit for you, why not say hello?
What you will be doing
Collaborate across Marketing, Product teams and business leaders to understand business questions that data can answer to drive insights
Build and manage dashboards, scorecards, and other analytical services
Develop analytics solutions that bring analytics to life using design thinking concepts
Design, build and automate key business metrics into one visualization to tell a story
Build processes and standards that build trust with data and provide consistent metrics across the organization
What you should have
Minimum of 3 years of analytics experience working with Marketing organizations
3+ Years’ experience with modern analytics tools such as Looker, Tableau, Qlik, etc.
Bachelor’s degree with emphasis on coursework of a quantitative nature (Information Systems, Computer Science, Data Science or related area)
Experience working with Data Engineering teams
Knowledge of tools like Salesforce, Marketo Cloud, gainsight, xactly is a plus
Experience in scripting with SQL, extracting large sets of data, and design of ETL flows
Business analysis and requirements gathering abilities
Design thinking concepts or other visualization concepts that drive story-telling
Strong organizational skills; demonstrated ability to manage small technology projects
Strong verbal and written communication skills
Strong collaboration skills to work with others towards the same outcome and drive results
Ability to operate as the point of contact for the business partner
Ability to work in diverse, fast paced environment and effectively collaborate across teams
Ability to learn technology quickly through instruction and self-training
Python/R and other analytics languages is a plus
Slack is an Equal Opportunity Employer and participant in the U.S. Federal E-Verify program. Women, minorities, individuals with disabilities and protected veterans are encouraged to apply. Slack will consider qualified applicants with criminal histories in a manner consistent with the San Francisco Fair Chance Ordinance.
