University Marketing is seeking a disciplined market researcher and thought leader to fill a key role on our Marketing Strategy team. The selected candidate will play a significant part in University Marketing as we continue to grow our audience insights capabilities and formalize an audience insights practice that serves the broader marketing community across the university.
The Senior Director, Audience Insights & Research reports to the Senior Associate Vice President of Marketing for The Ohio State University and defines and drives an integrated audience insights and research strategy and plan to proactively provide a comprehensive view of the market, audiences and the Ohio State brand. The Senior Director acts as the audience champion for the university, providing strategic consultation and bringing to life Ohio State’s different audiences to fuel audience-centric strategies and marketing plans.
The ideal candidate will be competent as:
A sophisticated thought leader who is able to leverage their knowledge and experience to add to the discourse and direction of marketing professionals across the university, with a focus on audience insights, business intelligence, brand health and reputation measurement
A disciplined market researcher, both in practices and processes, with distinctive analytical skills, creativity, strategic mindset and keen business acumen
A collaborative leader with experience navigating and influencing stakeholders within complex organizations in order to develop strong partnerships at many levels across the university, actively listening and advancing the strategic nature and quality of discussions
A solutions-oriented visionary and change agent with the ability to envision and create momentum in building an audience-centric organization and community
An experienced team builder with a proven ability to think holistically about team development as well as coach and mentor colleagues across the broader marketing community
A proactive self-starter who is comfortable with ambiguity and able to progress multiple priorities/projects
The Senior Director, Audience Insights & Research is both an initiator of research and gatherer of research, both inside and outside Ohio State, to synthesize and inform audience and market insights, ensuring efficiency in audience research and insights work across the university.
The Senior Director develops and synthesizes insights into frameworks that inform brand strategy and drive key business decisions across the university in partnership with colleges and units’ marketing efforts.
The Senior Director sources secondary and 3rd party research and manages all aspects of any additional primary research, including partnering with teams to frame problems, designing research methodologies, implementing high-quality data collection and analyzing results.
The Senior Director will translate research findings into clear, actionable insights, and present and evangelize results and recommendations to teams and leadership, utilizing excellent writing, communication and presentation skills.
All members of Advancement are part of creating an inclusive culture that inspires an exceptionally diverse and talented team and are measured on their adherence to the following core competencies: leadership, continuous improvement, teamwork and collaboration, and communication/interpersonal effectiveness.
More about University Marketing
University Marketing exists to advance the relevance, resonance and distinctiveness of Ohio State’s brand by leveraging disciplined and modern marketing practices that measurably grow and deepen audience perceptions, including their understanding of and preference for Ohio State. University Marketing partners with colleges and units across the university and with members of the greater Ohio State community to continuously develop and enhance the Ohio State brand while advancing the university’s strategic goals.
Performance Objectives include, but are not limited to:
Envision the future state and strategic roadmap of an audience insights and research practice for University Marketing and across the broader marketing and communications community, including development of an audience knowledge repository with dossiers for key audiences
Develop and maintain audience experience maps and supporting personas, working in partnership with the Marketing Strategy team and other partners to guide the development of audience-centric marketing strategies, campaigns and brand experiences
Develop ongoing brand health, reputation and audience measurement recommendations, including the required research methodologies and toolsets
Build collaborative relationships and provide strategic consultation around audience insights and research methodologies with marketing and analytics professionals and other key partners across the university
Required Qualifications
Bachelor’s degree preferably in psychology or statistics-related field
10+ years of experience and progressive leadership at a market research firm/agency, research vendor and/or managing research and insights in-house
Experience in qualitative and quantitative research methodology and audience insights development
Experience in applying statistical design and significance testing, as well as using various statistical techniques such as clustering and regression analyses to improve audience segmentation practices
Experience using data visualization tools (e.g., Tableau), statistics analysis software (e.g., SPSS), and other research survey tools (e.g., Qualtrics)
Experience in segmentation, brand positioning, messaging, brand tracking, advertising/messaging effectiveness, and syndicated data analysis
Desired Qualifications
Master’s and/or graduate degree
Experience managing a market research and/or insights function
Experience in leveraging advanced analytics in developing insights and recommendations
Experience working in a complex, decentralized and/or matrix organization structure
Experience in higher education market research and/or insights, with knowledge of admissions, alumni relations and/or fundraising marketing is a plus
You Need To Know
Aside from the unparalleled benefits of working for The Ohio State University and working in the diverse, smart, safe, fun and growing city of Columbus, Ohio, this opportunity will provide exceptional rewards that arise from working for a land grant institution where you will truly feel the impact of this role.
How to Apply
To apply online, please click Apply Now and complete the application instructions.
Closing Statement
The Ohio State University is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation or gender identity, national origin, disability status, or protected veteran status.
Apr 19, 2019
Full-time
University Marketing is seeking a disciplined market researcher and thought leader to fill a key role on our Marketing Strategy team. The selected candidate will play a significant part in University Marketing as we continue to grow our audience insights capabilities and formalize an audience insights practice that serves the broader marketing community across the university.
The Senior Director, Audience Insights & Research reports to the Senior Associate Vice President of Marketing for The Ohio State University and defines and drives an integrated audience insights and research strategy and plan to proactively provide a comprehensive view of the market, audiences and the Ohio State brand. The Senior Director acts as the audience champion for the university, providing strategic consultation and bringing to life Ohio State’s different audiences to fuel audience-centric strategies and marketing plans.
The ideal candidate will be competent as:
A sophisticated thought leader who is able to leverage their knowledge and experience to add to the discourse and direction of marketing professionals across the university, with a focus on audience insights, business intelligence, brand health and reputation measurement
A disciplined market researcher, both in practices and processes, with distinctive analytical skills, creativity, strategic mindset and keen business acumen
A collaborative leader with experience navigating and influencing stakeholders within complex organizations in order to develop strong partnerships at many levels across the university, actively listening and advancing the strategic nature and quality of discussions
A solutions-oriented visionary and change agent with the ability to envision and create momentum in building an audience-centric organization and community
An experienced team builder with a proven ability to think holistically about team development as well as coach and mentor colleagues across the broader marketing community
A proactive self-starter who is comfortable with ambiguity and able to progress multiple priorities/projects
The Senior Director, Audience Insights & Research is both an initiator of research and gatherer of research, both inside and outside Ohio State, to synthesize and inform audience and market insights, ensuring efficiency in audience research and insights work across the university.
The Senior Director develops and synthesizes insights into frameworks that inform brand strategy and drive key business decisions across the university in partnership with colleges and units’ marketing efforts.
The Senior Director sources secondary and 3rd party research and manages all aspects of any additional primary research, including partnering with teams to frame problems, designing research methodologies, implementing high-quality data collection and analyzing results.
The Senior Director will translate research findings into clear, actionable insights, and present and evangelize results and recommendations to teams and leadership, utilizing excellent writing, communication and presentation skills.
All members of Advancement are part of creating an inclusive culture that inspires an exceptionally diverse and talented team and are measured on their adherence to the following core competencies: leadership, continuous improvement, teamwork and collaboration, and communication/interpersonal effectiveness.
More about University Marketing
University Marketing exists to advance the relevance, resonance and distinctiveness of Ohio State’s brand by leveraging disciplined and modern marketing practices that measurably grow and deepen audience perceptions, including their understanding of and preference for Ohio State. University Marketing partners with colleges and units across the university and with members of the greater Ohio State community to continuously develop and enhance the Ohio State brand while advancing the university’s strategic goals.
Performance Objectives include, but are not limited to:
Envision the future state and strategic roadmap of an audience insights and research practice for University Marketing and across the broader marketing and communications community, including development of an audience knowledge repository with dossiers for key audiences
Develop and maintain audience experience maps and supporting personas, working in partnership with the Marketing Strategy team and other partners to guide the development of audience-centric marketing strategies, campaigns and brand experiences
Develop ongoing brand health, reputation and audience measurement recommendations, including the required research methodologies and toolsets
Build collaborative relationships and provide strategic consultation around audience insights and research methodologies with marketing and analytics professionals and other key partners across the university
Required Qualifications
Bachelor’s degree preferably in psychology or statistics-related field
10+ years of experience and progressive leadership at a market research firm/agency, research vendor and/or managing research and insights in-house
Experience in qualitative and quantitative research methodology and audience insights development
Experience in applying statistical design and significance testing, as well as using various statistical techniques such as clustering and regression analyses to improve audience segmentation practices
Experience using data visualization tools (e.g., Tableau), statistics analysis software (e.g., SPSS), and other research survey tools (e.g., Qualtrics)
Experience in segmentation, brand positioning, messaging, brand tracking, advertising/messaging effectiveness, and syndicated data analysis
Desired Qualifications
Master’s and/or graduate degree
Experience managing a market research and/or insights function
Experience in leveraging advanced analytics in developing insights and recommendations
Experience working in a complex, decentralized and/or matrix organization structure
Experience in higher education market research and/or insights, with knowledge of admissions, alumni relations and/or fundraising marketing is a plus
You Need To Know
Aside from the unparalleled benefits of working for The Ohio State University and working in the diverse, smart, safe, fun and growing city of Columbus, Ohio, this opportunity will provide exceptional rewards that arise from working for a land grant institution where you will truly feel the impact of this role.
How to Apply
To apply online, please click Apply Now and complete the application instructions.
Closing Statement
The Ohio State University is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation or gender identity, national origin, disability status, or protected veteran status.
Supporting the Disney Advertising Sales organization within our new Direct To Consumer & International (DTCI) segment, the Data Science & Analytics team are subject matter experts in each of the following areas:
Creating and optimizing audience segmentation models that enable us to target specific audiences based on brand affinities, app behavior, and video viewership among other things.
Examining other ways to expand audience sizes and depth through look-alike modeling of behaviors within our own network of digital properties.
We’re looking for an intellectually curious, business-savvy, analytical powerhouse to join the Data Science & Analytics team as a data scientist. In this role, you will be responsible for driving improvements across DTCI’s portfolio of offerings by using data. Working collaboratively with cross-functional teams, you will develop, drive, and oversee new strategies to ensure the growth of the business and the overall bottom line.
Responsibilities:
Perform business intelligence analysis and data mining on large, complex data sets to understand user behavior across the portfolio.
Help grow a multichannel advertising technology capability by leveraging internal and external datasets to expand our reach within and across platforms.
Build predictive models and algorithms to optimize products.
Develop new tools, statistical models, and analysis processes to improve how data is used across the organization.
Distill and socialize insights across all levels of DTCI, as well as other segments of The Walt Disney Company to help drive decision making.
Design, analyze, and present results from controlled experiments to test hypotheses and improve best practices across the organization.
Through industry research, ongoing education, and practical experience, become a leading subject matter expert in digital user behavior, monetization, and engagement.
Basic Qualifications:
3+ years demonstrable experience driving measurable results (monetization, engagement) with digital products across various business models.
Innovative thinker capable of operating both in a strategic capacity (big-picture perspective, asks "why") and a hands-on/execution capacity (detail-oriented, conscientious)
Excellent understanding of statistics and the ability to confidently translate statistical analyses into compelling and actionable recommendations
Proven ability in predictive analytics and modeling
Strong experience with writing SQL to extract and manipulate data at the source (experience with Hive/Hadoop/cloud data platforms a plus)
Experience with R, Python, or other statistical computing packages
Experience building complex visualizations (Tableau, Looker a plus)
Experience with consumer behavior and insights analysis (transactional and usage)
Great communication and teamwork skills
Experience working with social and web analytics and publishing platforms (e.g. Facebook Insights and Audiences) a plus
Knowledge of Salesforce DMP, Adobe Audience Manager, Oracle BlueKai or other DMPs a plus
Self-motivated with the ability to work independently
Required Education:
B.A. or B.S. (MS, MBA, or PhD a plus) in a quantitative field (Math/Statistics, CS, Engineering, Business, Economics, experimental science, or similar)
Apr 06, 2019
Full-time
Supporting the Disney Advertising Sales organization within our new Direct To Consumer & International (DTCI) segment, the Data Science & Analytics team are subject matter experts in each of the following areas:
Creating and optimizing audience segmentation models that enable us to target specific audiences based on brand affinities, app behavior, and video viewership among other things.
Examining other ways to expand audience sizes and depth through look-alike modeling of behaviors within our own network of digital properties.
We’re looking for an intellectually curious, business-savvy, analytical powerhouse to join the Data Science & Analytics team as a data scientist. In this role, you will be responsible for driving improvements across DTCI’s portfolio of offerings by using data. Working collaboratively with cross-functional teams, you will develop, drive, and oversee new strategies to ensure the growth of the business and the overall bottom line.
Responsibilities:
Perform business intelligence analysis and data mining on large, complex data sets to understand user behavior across the portfolio.
Help grow a multichannel advertising technology capability by leveraging internal and external datasets to expand our reach within and across platforms.
Build predictive models and algorithms to optimize products.
Develop new tools, statistical models, and analysis processes to improve how data is used across the organization.
Distill and socialize insights across all levels of DTCI, as well as other segments of The Walt Disney Company to help drive decision making.
Design, analyze, and present results from controlled experiments to test hypotheses and improve best practices across the organization.
Through industry research, ongoing education, and practical experience, become a leading subject matter expert in digital user behavior, monetization, and engagement.
Basic Qualifications:
3+ years demonstrable experience driving measurable results (monetization, engagement) with digital products across various business models.
Innovative thinker capable of operating both in a strategic capacity (big-picture perspective, asks "why") and a hands-on/execution capacity (detail-oriented, conscientious)
Excellent understanding of statistics and the ability to confidently translate statistical analyses into compelling and actionable recommendations
Proven ability in predictive analytics and modeling
Strong experience with writing SQL to extract and manipulate data at the source (experience with Hive/Hadoop/cloud data platforms a plus)
Experience with R, Python, or other statistical computing packages
Experience building complex visualizations (Tableau, Looker a plus)
Experience with consumer behavior and insights analysis (transactional and usage)
Great communication and teamwork skills
Experience working with social and web analytics and publishing platforms (e.g. Facebook Insights and Audiences) a plus
Knowledge of Salesforce DMP, Adobe Audience Manager, Oracle BlueKai or other DMPs a plus
Self-motivated with the ability to work independently
Required Education:
B.A. or B.S. (MS, MBA, or PhD a plus) in a quantitative field (Math/Statistics, CS, Engineering, Business, Economics, experimental science, or similar)
Williams College is pleased to announce the opening for a Data Analytics Director . The Data Analytics Director supports the Office of College Relations (OCR), interpreting data to provide actionable insight to inform business decisions for all departments within OCR. As part of the Advancement Operations team, the Director will design dashboards and other visualizations in addition to answering questions that can only be answered with a 'deep dive' into the data. Williams is committed to enriching its educational experience and its culture through the diversity of its faculty and staff. Our expectation is that the successful candidate will excel at working in a community that is broadly diverse with regard to race, ethnicity, socioeconomic status, gender, nationality, sexual orientation, and religion. Applicants should highlight relevant experience with building, working with, and supporting a broadly diverse employee community.
Responsibilities
Reporting to the Associate Vice President for Advancement Operations, the Director is responsible for data analytics using statistical methods and models to generate graphs, charts, heat maps, and other visualizations to assist end users in understanding the meaning behind the data. In addition, the Director will be responsible for writing and validating complex SQL queries for data mining, design dashboards and clear indicators to communicate complex ideas to leadership, and develop specifications and proposed layouts in partnership with end users. Collaborating with other teams within the Office of College Relations, the Director will work to achieve the highest level of data quality to build and sustain confidence in the reporting and visualization end products.
Qualifications
Bachelor's degree in Mathematics, Computer Science, Data Science, Information Science, or Statistics, with a minimum of two years technical experience in an office environment; or an equivalent combination of education and experience
Innovative, energetic, flexible, and highly organized
Operates most efficiently in a collaborative, team-oriented environment
Experience with tools such as Tableau, R, or PowerBI preferred
Technical expertise creating models to forecast trends and in data mining and segmentation techniques
Demonstrated experience handling large and complex data sets
Experience with creating data warehouses (lakes, streams, etc.) preferred
Knowledge of statistics and experience using statistical packages for analyzing datasets (Excel, SPSS, SAS, etc.) a plus
Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy
Adept at data visualization and analysis in addition to writing queries, report writing, and presenting findings
Strong attention to detail, ability to work in a team environment, and ability to manage multiple concurrent projects
Strong written and verbal communication skills
Review of applications will begin April 29, 2019 and continue until the position is filled. Employment at Williams is contingent on the verification of background information submitted by the applicant, including the completion of a criminal record check, and education when applicable. Beyond meeting fully its legal obligations for non-discrimination, Williams College is committed to building a diverse and inclusive community where members from all backgrounds can live, learn, and thrive. PI109039250
Apr 05, 2019
Full-time
Williams College is pleased to announce the opening for a Data Analytics Director . The Data Analytics Director supports the Office of College Relations (OCR), interpreting data to provide actionable insight to inform business decisions for all departments within OCR. As part of the Advancement Operations team, the Director will design dashboards and other visualizations in addition to answering questions that can only be answered with a 'deep dive' into the data. Williams is committed to enriching its educational experience and its culture through the diversity of its faculty and staff. Our expectation is that the successful candidate will excel at working in a community that is broadly diverse with regard to race, ethnicity, socioeconomic status, gender, nationality, sexual orientation, and religion. Applicants should highlight relevant experience with building, working with, and supporting a broadly diverse employee community.
Responsibilities
Reporting to the Associate Vice President for Advancement Operations, the Director is responsible for data analytics using statistical methods and models to generate graphs, charts, heat maps, and other visualizations to assist end users in understanding the meaning behind the data. In addition, the Director will be responsible for writing and validating complex SQL queries for data mining, design dashboards and clear indicators to communicate complex ideas to leadership, and develop specifications and proposed layouts in partnership with end users. Collaborating with other teams within the Office of College Relations, the Director will work to achieve the highest level of data quality to build and sustain confidence in the reporting and visualization end products.
Qualifications
Bachelor's degree in Mathematics, Computer Science, Data Science, Information Science, or Statistics, with a minimum of two years technical experience in an office environment; or an equivalent combination of education and experience
Innovative, energetic, flexible, and highly organized
Operates most efficiently in a collaborative, team-oriented environment
Experience with tools such as Tableau, R, or PowerBI preferred
Technical expertise creating models to forecast trends and in data mining and segmentation techniques
Demonstrated experience handling large and complex data sets
Experience with creating data warehouses (lakes, streams, etc.) preferred
Knowledge of statistics and experience using statistical packages for analyzing datasets (Excel, SPSS, SAS, etc.) a plus
Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy
Adept at data visualization and analysis in addition to writing queries, report writing, and presenting findings
Strong attention to detail, ability to work in a team environment, and ability to manage multiple concurrent projects
Strong written and verbal communication skills
Review of applications will begin April 29, 2019 and continue until the position is filled. Employment at Williams is contingent on the verification of background information submitted by the applicant, including the completion of a criminal record check, and education when applicable. Beyond meeting fully its legal obligations for non-discrimination, Williams College is committed to building a diverse and inclusive community where members from all backgrounds can live, learn, and thrive. PI109039250
Farmers Insurance, a premier US property and casualty insurer, seeks talented individuals to join the Personal Lines group at Farmers. Members of the Personal Lines team work together to achieve our goals of:
Profitable growth,
Improved competitive position,
Use of cutting edge methods and forward thinking in development of new products,
Maintenance of existing products with a fresh and ever-evolving point of view
Each of these goals supports Farmers’ overall mission of instilling confidence, security, and peace of mind in our customers by helping them get smart about insurance, plan for potential risk, and quickly restore their lives after a loss.
Research & Development
Roles in Personal Lines Research & Development offer an exciting combination of research projects and business problems. We use an eclectic mix of modeling approaches to build industry-leading risk pricing models, measure performance, and inform strategy. Such techniques include generalized linear models, neural networks, decision trees, finite mixture models, cluster analysis, factor analysis, and multivariate statistical analysis.
Modelers can expect to:
Join a world class group of statisticians, data scientists, mathematicians, and modelers on a mission to extract insights from information and put them to good use
Contribute to projects involving descriptive, predictive, and prescriptive analysis leveraging a variety of statistical techniques (such as segmentation, regression, survival analysis, principal component analysis, scenario and sensitivity analysis, neural networks, and machine learning)
Dig in by extracting data and performing segmentation and statistical analyses on large datasets (using languages/tools such as R, SAS, SQL, Hadoop and Python)
Collaborate with internal and external partners to deliver innovative analytical products, solutions, and insights
Assist with research and implementation of technology using machine learning and artificial intelligence techniques
Train/coach team members/peers and actively share expertise
Identify approaches and tools that can bring efficiencies or needed techniques to the team
Communicate/present findings to R&D staff as well as business partners
Requirements
Master’s Degree in a quantitative field, such as Statistics, Mathematics, Economics, Analytics, or other related fields with advanced coursework in statistics
Advanced proficiency in one or more statistical programming languages such as SAS, Python, R, etc.
Proven aptitude and demonstrated interest in statistical modeling techniques such as linear regression, logistic regression, GLM, etc.
Robust analytical, critical thinking, and creative problem solving skills
Strong time management skills with the ability to prioritize and contribute to multiple assignments simultaneously
Solid written and verbal communication skills with the ability to clearly articulate ideas to both technical and non-technical audiences
Proficiency with data visualization and graphics tools such as Tableau for the creation of reports and dashboards is a plus.
2 to 5 years of professional analytical modeling experience, solving problems relevant to the insurance industry is desired, but not required.
S ponsorship is available for this position for candidates who already possess their H1B visa.
This position is available in either Wilmington, DE or Independence, OH.
Mar 29, 2019
Full-time
Farmers Insurance, a premier US property and casualty insurer, seeks talented individuals to join the Personal Lines group at Farmers. Members of the Personal Lines team work together to achieve our goals of:
Profitable growth,
Improved competitive position,
Use of cutting edge methods and forward thinking in development of new products,
Maintenance of existing products with a fresh and ever-evolving point of view
Each of these goals supports Farmers’ overall mission of instilling confidence, security, and peace of mind in our customers by helping them get smart about insurance, plan for potential risk, and quickly restore their lives after a loss.
Research & Development
Roles in Personal Lines Research & Development offer an exciting combination of research projects and business problems. We use an eclectic mix of modeling approaches to build industry-leading risk pricing models, measure performance, and inform strategy. Such techniques include generalized linear models, neural networks, decision trees, finite mixture models, cluster analysis, factor analysis, and multivariate statistical analysis.
Modelers can expect to:
Join a world class group of statisticians, data scientists, mathematicians, and modelers on a mission to extract insights from information and put them to good use
Contribute to projects involving descriptive, predictive, and prescriptive analysis leveraging a variety of statistical techniques (such as segmentation, regression, survival analysis, principal component analysis, scenario and sensitivity analysis, neural networks, and machine learning)
Dig in by extracting data and performing segmentation and statistical analyses on large datasets (using languages/tools such as R, SAS, SQL, Hadoop and Python)
Collaborate with internal and external partners to deliver innovative analytical products, solutions, and insights
Assist with research and implementation of technology using machine learning and artificial intelligence techniques
Train/coach team members/peers and actively share expertise
Identify approaches and tools that can bring efficiencies or needed techniques to the team
Communicate/present findings to R&D staff as well as business partners
Requirements
Master’s Degree in a quantitative field, such as Statistics, Mathematics, Economics, Analytics, or other related fields with advanced coursework in statistics
Advanced proficiency in one or more statistical programming languages such as SAS, Python, R, etc.
Proven aptitude and demonstrated interest in statistical modeling techniques such as linear regression, logistic regression, GLM, etc.
Robust analytical, critical thinking, and creative problem solving skills
Strong time management skills with the ability to prioritize and contribute to multiple assignments simultaneously
Solid written and verbal communication skills with the ability to clearly articulate ideas to both technical and non-technical audiences
Proficiency with data visualization and graphics tools such as Tableau for the creation of reports and dashboards is a plus.
2 to 5 years of professional analytical modeling experience, solving problems relevant to the insurance industry is desired, but not required.
S ponsorship is available for this position for candidates who already possess their H1B visa.
This position is available in either Wilmington, DE or Independence, OH.
The Walt Disney Parks & Resorts Management Science & Integration (MSI) consulting team is responsible for supporting clients across The Walt Disney Company including Parks and Resorts, Media Networks (e.g., ABC, ESPN, etc.), Studio Entertainment (The Walt Disney Studios, Disney Theatrical) and Disney Consumer Products and Interactive Media. MSI leverages technology, data analytics, optimization, statistical and econometric modeling to explore opportunities, shape business decisions and drive business value. MSI seeks forward-thinking team members who are passionate about delivering quality results and enjoy working closely with key partners on both strategic and tactical challenges. Candidates should have a natural curiosity to understand the "why" behind business performance, take a proactive role in problem-solving, be results oriented, be able to prioritize and be a team player in a collaborative environment.
Responsibilities:
Internal Consultant – Act as a company-wide consultant to support internal clients to implement new technological/analytical solutions driving business value
Data Analyst – Collect, analyze and visualize large data sets to derive patterns, gather insights and uncover new opportunities
Storyteller – Through polished presentations, deliver and effectively communicate key findings and recommendations in a concise, actionable and efficient manner to all stakeholders
Business Analyst – Document business processes, elicit functional requirements, turn them into technical specifications and test deliverables
Product Management Analyst – Manage clients’ requests and prioritize them into a release plan / product roadmap
Basic Qualifications:
Four or more years’ experience with advanced data visualization technology (e.g. Tableau, QlikView, Power BI or similar), designing and developing interactive reports and dashboards
Four or more years’ experience with SQL coding performing data processing tasks on large data sets
Knowledge of statistical methods, forecasting and modeling
Ability to tell the story in the data, and simplify complex analytics into recommendations that are easily understood and executable
Ability to strategically influence stakeholders and partners
Demonstrated strong written and verbal communication skills
Demonstrated problem-solving and decision-making skills
Ability to adapt to a rapidly changing business environment and manage multiple priorities
Preferred Qualifications:
Four years’ experience with advanced data visualization technology (e.g. Tableau, QlikView, Power BI or similar), involved with all steps of development lifecycle
Gather requirements from business clients, develop use cases and mock-ups
Collect, integrate and cleanse data
Analyze data and propose efficient and innovative ways to visualize it
Build dashboards/visualizations leveraging best practices (level of detail calculations, parameters, custom formatting, etc.)
Optimize dashboard performance / data load times using advanced SQL or Tableau capabilities (indexing, caching, event-based triggers, etc.)
Support user acceptance testing
Train users on dashboard capabilities and data interpretation
Gather user feedback and further improve solution
Four years’ experience with SQL
Knowledge of revenue management and dynamic pricing
Required Education:
Bachelor’s degree in Statistics, Mathematics, Engineering, Economics, Data Analytics or a quantitative field or equivalent
Preferred Education:
Master's degree in Statistics, Mathematics, Engineering, Economics, Data Mining, Analytics, Business Analytics, Management Science or a quantitative field or equivalent
Apr 13, 2019
Full-time
The Walt Disney Parks & Resorts Management Science & Integration (MSI) consulting team is responsible for supporting clients across The Walt Disney Company including Parks and Resorts, Media Networks (e.g., ABC, ESPN, etc.), Studio Entertainment (The Walt Disney Studios, Disney Theatrical) and Disney Consumer Products and Interactive Media. MSI leverages technology, data analytics, optimization, statistical and econometric modeling to explore opportunities, shape business decisions and drive business value. MSI seeks forward-thinking team members who are passionate about delivering quality results and enjoy working closely with key partners on both strategic and tactical challenges. Candidates should have a natural curiosity to understand the "why" behind business performance, take a proactive role in problem-solving, be results oriented, be able to prioritize and be a team player in a collaborative environment.
Responsibilities:
Internal Consultant – Act as a company-wide consultant to support internal clients to implement new technological/analytical solutions driving business value
Data Analyst – Collect, analyze and visualize large data sets to derive patterns, gather insights and uncover new opportunities
Storyteller – Through polished presentations, deliver and effectively communicate key findings and recommendations in a concise, actionable and efficient manner to all stakeholders
Business Analyst – Document business processes, elicit functional requirements, turn them into technical specifications and test deliverables
Product Management Analyst – Manage clients’ requests and prioritize them into a release plan / product roadmap
Basic Qualifications:
Four or more years’ experience with advanced data visualization technology (e.g. Tableau, QlikView, Power BI or similar), designing and developing interactive reports and dashboards
Four or more years’ experience with SQL coding performing data processing tasks on large data sets
Knowledge of statistical methods, forecasting and modeling
Ability to tell the story in the data, and simplify complex analytics into recommendations that are easily understood and executable
Ability to strategically influence stakeholders and partners
Demonstrated strong written and verbal communication skills
Demonstrated problem-solving and decision-making skills
Ability to adapt to a rapidly changing business environment and manage multiple priorities
Preferred Qualifications:
Four years’ experience with advanced data visualization technology (e.g. Tableau, QlikView, Power BI or similar), involved with all steps of development lifecycle
Gather requirements from business clients, develop use cases and mock-ups
Collect, integrate and cleanse data
Analyze data and propose efficient and innovative ways to visualize it
Build dashboards/visualizations leveraging best practices (level of detail calculations, parameters, custom formatting, etc.)
Optimize dashboard performance / data load times using advanced SQL or Tableau capabilities (indexing, caching, event-based triggers, etc.)
Support user acceptance testing
Train users on dashboard capabilities and data interpretation
Gather user feedback and further improve solution
Four years’ experience with SQL
Knowledge of revenue management and dynamic pricing
Required Education:
Bachelor’s degree in Statistics, Mathematics, Engineering, Economics, Data Analytics or a quantitative field or equivalent
Preferred Education:
Master's degree in Statistics, Mathematics, Engineering, Economics, Data Mining, Analytics, Business Analytics, Management Science or a quantitative field or equivalent
At Disney, we are storytellers. We make the impossible, possible. We do this through utilizing and developing cutting-edge technology and pushing the envelope to bring stories to life through our movies, products, interactive games, parks and resorts, and media networks. Now is your chance to join our talented team that delivers unparalleled creative content to audiences around the world. The Systems Engineering team is responsible for improving the quality and reliability of technology systems at Walt Disney Parks & Resorts. From one of the most sophisticated hotel reservation systems in the world to Disney Cruise Line shipboard systems, Disney Vacation Club member services, FastPass ticketing, PhotoPass, and even inventory applications to ensure we have the right number of cast costumes. Disney Parks Experiences and Consumer Products (DPECP) Technology seeks forward-thinking team members who are passionate about delivering a quality product and enjoy working closely with partners across the organization on both strategic and tactical challenges. This intern will apply their passion for data and analytics to improving the quality and reliability of all technology systems at Walt Disney Parks & Resorts.
Responsibilities:
Build a scoring model that quantifies risk for each application based on a variety of historical performance measures.
Develop compelling visualizations to promote adoption so that it can be used to incent development best-practices across the segment.
Prepare data using SQL and data merging
Basic Qualifications:
Excellent verbal and written communication skills
Ability to work independently as a self-starter
Excellent time management skills, and function well within a diverse team.
Strong SQL experience/knowledge
Strong understanding of relational databases
Ability to thrive in a dynamic, fast-paced environment
Ability to be highly flexible, staying focused on the ultimate objective while incorporating new data inputs and recent discoveries
Ability to follow existing programming and style guidelines to maintain consistent quality of code
Ability to maintain documentation, procedures, and working instructions for the operations team
Ability to proactively reassess business needs and make suggestions to meet those needs
Data analytics experience/knowledge
Strong knowledge in Excel (pivot tables, pivot charts, regression analysis, standard deviation)
Preferred Qualifications:
Experience with Tableau or other visualization tools
Application design experience/knowledge
Agile work environment experience/knowledge
Passion in data analytics
Preferred Education:
Junior, Senior, Graduate Level student or recent graduate (within 6 months of graduating) pursuing a Bachelor's or Master's Degree or PhD in Computer Science, Computer Engineering, Management Information Systems or related field.
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
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 Mid-August 2019- Mid-December 2019. Interns must be fully available for the duration of the internship. Housing: A limited amount of company sponsored housing is available on first-come, first-serve basis. If company sponsored housing is not available, interns must be able to provide their own housing 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.
Apr 03, 2019
Full-time
At Disney, we are storytellers. We make the impossible, possible. We do this through utilizing and developing cutting-edge technology and pushing the envelope to bring stories to life through our movies, products, interactive games, parks and resorts, and media networks. Now is your chance to join our talented team that delivers unparalleled creative content to audiences around the world. The Systems Engineering team is responsible for improving the quality and reliability of technology systems at Walt Disney Parks & Resorts. From one of the most sophisticated hotel reservation systems in the world to Disney Cruise Line shipboard systems, Disney Vacation Club member services, FastPass ticketing, PhotoPass, and even inventory applications to ensure we have the right number of cast costumes. Disney Parks Experiences and Consumer Products (DPECP) Technology seeks forward-thinking team members who are passionate about delivering a quality product and enjoy working closely with partners across the organization on both strategic and tactical challenges. This intern will apply their passion for data and analytics to improving the quality and reliability of all technology systems at Walt Disney Parks & Resorts.
Responsibilities:
Build a scoring model that quantifies risk for each application based on a variety of historical performance measures.
Develop compelling visualizations to promote adoption so that it can be used to incent development best-practices across the segment.
Prepare data using SQL and data merging
Basic Qualifications:
Excellent verbal and written communication skills
Ability to work independently as a self-starter
Excellent time management skills, and function well within a diverse team.
Strong SQL experience/knowledge
Strong understanding of relational databases
Ability to thrive in a dynamic, fast-paced environment
Ability to be highly flexible, staying focused on the ultimate objective while incorporating new data inputs and recent discoveries
Ability to follow existing programming and style guidelines to maintain consistent quality of code
Ability to maintain documentation, procedures, and working instructions for the operations team
Ability to proactively reassess business needs and make suggestions to meet those needs
Data analytics experience/knowledge
Strong knowledge in Excel (pivot tables, pivot charts, regression analysis, standard deviation)
Preferred Qualifications:
Experience with Tableau or other visualization tools
Application design experience/knowledge
Agile work environment experience/knowledge
Passion in data analytics
Preferred Education:
Junior, Senior, Graduate Level student or recent graduate (within 6 months of graduating) pursuing a Bachelor's or Master's Degree or PhD in Computer Science, Computer Engineering, Management Information Systems or related field.
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
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 Mid-August 2019- Mid-December 2019. Interns must be fully available for the duration of the internship. Housing: A limited amount of company sponsored housing is available on first-come, first-serve basis. If company sponsored housing is not available, interns must be able to provide their own housing 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.
The Disney Decision Science and Integration (DDSI) consulting team is responsible for supporting clients across The Walt Disney Company including Direct-to-Consumer & International, Media Networks (e.g., ABC, ESPN), Studio Entertainment (e.g., The Walt Disney Studios, Disney Theatrical Group) and Parks, Experiences & Consumer Products. DDSI leverages technology, data analytics, optimization, statistical and econometric modeling to explore opportunities, shape business decisions and drive business value. The DDSI Data Integration (DI) team is looking to fill a technical hands-on role to work across current and upcoming projects such as DLR Rubiks/MIRS, Resorts Dynamic Pricing (RDP), and Forecast Analytics (FA).
Responsibilities:
This position requires a close partnership with MSI, Science and Technology team members to perform activities such as data requirements gathering, data validation scripting and review, producing and/or reviewing data aggregation datasets for our Science Models and Tableau visualizations, building and monitoring daily batch update processes, creation of Tableau reports, and ad-hoc activities required by the projects. Expertise functioning as a technical lead and having hands-on proficiency with SQL, Tableau, Python, Spark, PySpark, SparkSQL, and Hadoop/Hive will be necessary in this role.
Basic Qualifications:
8+ years of overall technology experience
Proven track record functioning as a Technical Lead (guiding/directing other technical resources) on projects
5+ years of experience and proficiency in SQL (on a variety of database platforms)
2+ years of expertise developing with Python
Experience and proficiency with data visualization tools (e.g. Tableau)
Hands-on expertise with PySpark and SparkSQL on company projects
Experience with Hadoop/Hive
Background with ETL and ELT tools and processes
Strong analytical skills in data analysis
Experience with Github/Gitlab for software development and promotion
Demonstrated partnering and communication skills; able to shift readily between technical and non-technical terminology depending on audience
Experience and proficiency in requirements elicitation and documentation for data processing
Experience and proficiency in developing automated data validation test scenarios and scripts
Proficiency acquiring, organizing, cleansing and manipulating large amounts of data
Proven sense of responsibility and the ability to meet deadlines and handle multiple priorities
Preferred Qualifications:
Experience with project management tools, including Smartsheet and Version 1
Hands-on experience interacting with Technology teams to promote code across multiple environments
Experience and proficiency in developing automated data transformation processes
Solid understanding of AWS
Database design and implementation experience
Required Education:
Bachelor degree in Computer Science, Mathematics, Engineering, Economics, Business Analytics, or other quantitative field
Preferred Education:
Master’s degree in Computer Science, Mathematics, Engineering, Economics, Business Analytics, or other quantitative field
Mar 29, 2019
Full-time
The Disney Decision Science and Integration (DDSI) consulting team is responsible for supporting clients across The Walt Disney Company including Direct-to-Consumer & International, Media Networks (e.g., ABC, ESPN), Studio Entertainment (e.g., The Walt Disney Studios, Disney Theatrical Group) and Parks, Experiences & Consumer Products. DDSI leverages technology, data analytics, optimization, statistical and econometric modeling to explore opportunities, shape business decisions and drive business value. The DDSI Data Integration (DI) team is looking to fill a technical hands-on role to work across current and upcoming projects such as DLR Rubiks/MIRS, Resorts Dynamic Pricing (RDP), and Forecast Analytics (FA).
Responsibilities:
This position requires a close partnership with MSI, Science and Technology team members to perform activities such as data requirements gathering, data validation scripting and review, producing and/or reviewing data aggregation datasets for our Science Models and Tableau visualizations, building and monitoring daily batch update processes, creation of Tableau reports, and ad-hoc activities required by the projects. Expertise functioning as a technical lead and having hands-on proficiency with SQL, Tableau, Python, Spark, PySpark, SparkSQL, and Hadoop/Hive will be necessary in this role.
Basic Qualifications:
8+ years of overall technology experience
Proven track record functioning as a Technical Lead (guiding/directing other technical resources) on projects
5+ years of experience and proficiency in SQL (on a variety of database platforms)
2+ years of expertise developing with Python
Experience and proficiency with data visualization tools (e.g. Tableau)
Hands-on expertise with PySpark and SparkSQL on company projects
Experience with Hadoop/Hive
Background with ETL and ELT tools and processes
Strong analytical skills in data analysis
Experience with Github/Gitlab for software development and promotion
Demonstrated partnering and communication skills; able to shift readily between technical and non-technical terminology depending on audience
Experience and proficiency in requirements elicitation and documentation for data processing
Experience and proficiency in developing automated data validation test scenarios and scripts
Proficiency acquiring, organizing, cleansing and manipulating large amounts of data
Proven sense of responsibility and the ability to meet deadlines and handle multiple priorities
Preferred Qualifications:
Experience with project management tools, including Smartsheet and Version 1
Hands-on experience interacting with Technology teams to promote code across multiple environments
Experience and proficiency in developing automated data transformation processes
Solid understanding of AWS
Database design and implementation experience
Required Education:
Bachelor degree in Computer Science, Mathematics, Engineering, Economics, Business Analytics, or other quantitative field
Preferred Education:
Master’s degree in Computer Science, Mathematics, Engineering, Economics, Business Analytics, or other quantitative field
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.
Feb 01, 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.
Organization: StubHub, www.stubhub.com (an eBay company NASDAQ: EBAY)
The Opportunity
We are looking for an experienced Data scientist with exceptional product sense to help champion the use of data in product decision-making. In this role you will work closely with our Engineering, Product, Ops, and Design teams to evaluate product opportunities, track product metrics, develop and analyze experiments, and drive deep-dive studies to identify new opportunities.
You will:
Apply data & analytical skills to help understand how our customers use our products
Partner closely with product leadership to define, measure and report on core product and feature metrics
Design customer-facing experiments (A/B tests) and distill their results into actionable outcomes
Execute cohort studies and drive analyses to understand customer behavior and identify opportunities for improving our product(s)
Collaborate with data and business intelligence teams to develop reports and visualization dashboards
Build financial models to project key business metrics - Traffic, conversion, Engagement - and develop KPIs to measure initiative performance
You have:
Strong quantitative background with Product analytics experience. Proven track record in solving business problems through fact based and scientific analytics
Excellent technical skills - including the ability to query databases (SQL, Hive etc.), leveraging R/Python to analyze complex data, and using Tableau (or other visualization tools) to deliver insights at scale
Deep understanding of statistics, experimental design, and causal inference
The ability to translate analytical insights into clear recommendations and effectively deliver it to technical and non-technical stakeholders
Worked in cross-functional and cross-cultural teams, and are able to communicate technically intricate concepts/results in business terms
Passion for technology and consumer products
Why StubHub?
StubHub is the world's largest ticket marketplace, enabling fans to buy and sell tickets to tens of thousands of sports, concert, theater and other live entertainment events. StubHub reinvented the ticket resale market in 2000 and continues to lead it through innovation. The company's unique online marketplace, dedicated solely to tickets, provides all fans the choice to buy or sell their tickets in a safe, convenient and highly reliable environment. All transactions are processed and delivered by StubHub and backed by the company's FanProtect Guarantee™ processing a ticket every second today with billions of ticket sales each year globally. Company partners MLB, AEG, ESPN and many leading teams such as the San Francisco Giants and University of Texas, along with over 60 other teams in MLB, NBA, NHL and NCAA.
Our Values
StubHub One – We act as one team in pursuit of connecting people through inspiring event experiences
At StubHub, we are:
Driven – We strive for excellence – constantly improving our game Courageous – We are bold & not afraid to challenge the status quo Inventive – We see what others don’t & pioneer new paths Richly Diverse – We recognize & respect everyone as a unique individual Brand – We experience the world through StubHub.
eBay Inc. is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, sexual orientation, gender identity, veteran status, and disability, or other legally protected status. If you are unable to submit an application because of incompatible assistive technology or a disability, please contact us. We will make every effort to respond to your request for disability assistance as soon as possible.
Feb 01, 2019
Full-time
Organization: StubHub, www.stubhub.com (an eBay company NASDAQ: EBAY)
The Opportunity
We are looking for an experienced Data scientist with exceptional product sense to help champion the use of data in product decision-making. In this role you will work closely with our Engineering, Product, Ops, and Design teams to evaluate product opportunities, track product metrics, develop and analyze experiments, and drive deep-dive studies to identify new opportunities.
You will:
Apply data & analytical skills to help understand how our customers use our products
Partner closely with product leadership to define, measure and report on core product and feature metrics
Design customer-facing experiments (A/B tests) and distill their results into actionable outcomes
Execute cohort studies and drive analyses to understand customer behavior and identify opportunities for improving our product(s)
Collaborate with data and business intelligence teams to develop reports and visualization dashboards
Build financial models to project key business metrics - Traffic, conversion, Engagement - and develop KPIs to measure initiative performance
You have:
Strong quantitative background with Product analytics experience. Proven track record in solving business problems through fact based and scientific analytics
Excellent technical skills - including the ability to query databases (SQL, Hive etc.), leveraging R/Python to analyze complex data, and using Tableau (or other visualization tools) to deliver insights at scale
Deep understanding of statistics, experimental design, and causal inference
The ability to translate analytical insights into clear recommendations and effectively deliver it to technical and non-technical stakeholders
Worked in cross-functional and cross-cultural teams, and are able to communicate technically intricate concepts/results in business terms
Passion for technology and consumer products
Why StubHub?
StubHub is the world's largest ticket marketplace, enabling fans to buy and sell tickets to tens of thousands of sports, concert, theater and other live entertainment events. StubHub reinvented the ticket resale market in 2000 and continues to lead it through innovation. The company's unique online marketplace, dedicated solely to tickets, provides all fans the choice to buy or sell their tickets in a safe, convenient and highly reliable environment. All transactions are processed and delivered by StubHub and backed by the company's FanProtect Guarantee™ processing a ticket every second today with billions of ticket sales each year globally. Company partners MLB, AEG, ESPN and many leading teams such as the San Francisco Giants and University of Texas, along with over 60 other teams in MLB, NBA, NHL and NCAA.
Our Values
StubHub One – We act as one team in pursuit of connecting people through inspiring event experiences
At StubHub, we are:
Driven – We strive for excellence – constantly improving our game Courageous – We are bold & not afraid to challenge the status quo Inventive – We see what others don’t & pioneer new paths Richly Diverse – We recognize & respect everyone as a unique individual Brand – We experience the world through StubHub.
eBay Inc. is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, sexual orientation, gender identity, veteran status, and disability, or other legally protected status. If you are unable to submit an application because of incompatible assistive technology or a disability, please contact us. We will make every effort to respond to your request for disability assistance as soon as possible.
Overview
We have an exciting opportunity on a team that is defining how we use analytics to transform customer experiences, accelerate business growth and optimize our growth efforts. We are looking for a data-driven individual with excellent analytical skills, experience in product conversion and a passion for delivering data-driven insights to join Intuit’s Analytics Center of Excellence for TurboTax.
Responsibilities
Partners with business leaders (e.g. marketing, product and customer success) to define business strategies, areas of investment, and critical priorities
Leads and nurtures a team of talented analysts with a focus on product conversion, key customer benefit metrics, and end-to-end customer experiences
Build recommendations by synthesizing multiple types of data, developing assumptions in lieu of data and using external sources to help drive business learnings and strategy development
Uses quantitative data gathered with software measurement tools, click streams and drill-downs to develop an understanding of customer behavior and make product experience recommendations
Applies statistics-based market intelligence to business issues and formulates recommendations
Define, implement and standardize metrics, reports and dashboards leveraging Tableau or other data visualization tools
Collaborate both internally and externally to ensure reporting solutions are scalable, repeatable, effective, and meet the expectations of internal customers
Take the lead on TurboTax product initiatives by defining useful hypotheses, designing robust experiments, analyzing results, presenting insights to business stakeholders and putting lessons learned into practice
Answer ad-hoc analytic questions, contribute to decision-making through opportunity sizing, and train users to self-serve standard reports leveraging Tableau
Pursue data quality, troubleshoot data validation, and see issues to resolution
Ensure data collection is optimized to provide crystal-clear visibility into the impact and value of new initiatives and product releases
Qualifications
7-10 years of web analytics or product analytics experience
Deep Subject matter expertise with clickstream data and SQL is a must
Understanding of complex web ecosystems, best practices and ability to put this knowledge into action
Experience with Tableau or another reporting solution a plus
Ability to tell stories with data, educate effectively, and instill confidence, motivating stakeholders to act on recommendations
Excellent problem-solving skills and end to end quantitative thinking
Ability to manage multiple projects simultaneously to meet objectives and key deadlines
Outstanding communications skills with both technical and non-technical colleagues
Proactive and inquisitive learner... seeks out and capitalizes on opportunities for change that enhance the business, rather than reacting to circumstances.
Imagine a career where your creative inspiration can fuel BIG innovation. Year-over-year, Intuit has been recognized as a best employer and is consistently ranked on Fortune's "100 Best Companies To Work For" and Fortune World's "Most Admired Software Companies" lists. Immerse yourself in our award winning culture while creating breakthrough solutions that simplify the lives of consumers and small businesses and their customers worldwide.
Intuit is expanding its social, mobile, and global footprint with a full suite of products and services that are revolutionizing the industry. Utilizing design for delight and lean startup methodologies, our entrepreneurial employees have brought more than 250 innovations to market – from QuickBooks® and TurboTax®, to GoPayment, Mint.com, big data, cloud (SaaS, PaaS) and mobile apps. The breadth and depth of these customer-driven innovations mean limitless opportunities for you to turn your ingenious ideas into reality at Intuit.
Discover what it's like to be part of a team that rewards taking risks and trying new things. It's time to love what you do! Check out all of our career opportunities at: careers.intuit.com. EOE AA M/F/Vet/Disability
Intuit will consider for employment qualified applicants with criminal histories in a manner consistent with requirements of local law.
Feb 01, 2019
Full-time
Overview
We have an exciting opportunity on a team that is defining how we use analytics to transform customer experiences, accelerate business growth and optimize our growth efforts. We are looking for a data-driven individual with excellent analytical skills, experience in product conversion and a passion for delivering data-driven insights to join Intuit’s Analytics Center of Excellence for TurboTax.
Responsibilities
Partners with business leaders (e.g. marketing, product and customer success) to define business strategies, areas of investment, and critical priorities
Leads and nurtures a team of talented analysts with a focus on product conversion, key customer benefit metrics, and end-to-end customer experiences
Build recommendations by synthesizing multiple types of data, developing assumptions in lieu of data and using external sources to help drive business learnings and strategy development
Uses quantitative data gathered with software measurement tools, click streams and drill-downs to develop an understanding of customer behavior and make product experience recommendations
Applies statistics-based market intelligence to business issues and formulates recommendations
Define, implement and standardize metrics, reports and dashboards leveraging Tableau or other data visualization tools
Collaborate both internally and externally to ensure reporting solutions are scalable, repeatable, effective, and meet the expectations of internal customers
Take the lead on TurboTax product initiatives by defining useful hypotheses, designing robust experiments, analyzing results, presenting insights to business stakeholders and putting lessons learned into practice
Answer ad-hoc analytic questions, contribute to decision-making through opportunity sizing, and train users to self-serve standard reports leveraging Tableau
Pursue data quality, troubleshoot data validation, and see issues to resolution
Ensure data collection is optimized to provide crystal-clear visibility into the impact and value of new initiatives and product releases
Qualifications
7-10 years of web analytics or product analytics experience
Deep Subject matter expertise with clickstream data and SQL is a must
Understanding of complex web ecosystems, best practices and ability to put this knowledge into action
Experience with Tableau or another reporting solution a plus
Ability to tell stories with data, educate effectively, and instill confidence, motivating stakeholders to act on recommendations
Excellent problem-solving skills and end to end quantitative thinking
Ability to manage multiple projects simultaneously to meet objectives and key deadlines
Outstanding communications skills with both technical and non-technical colleagues
Proactive and inquisitive learner... seeks out and capitalizes on opportunities for change that enhance the business, rather than reacting to circumstances.
Imagine a career where your creative inspiration can fuel BIG innovation. Year-over-year, Intuit has been recognized as a best employer and is consistently ranked on Fortune's "100 Best Companies To Work For" and Fortune World's "Most Admired Software Companies" lists. Immerse yourself in our award winning culture while creating breakthrough solutions that simplify the lives of consumers and small businesses and their customers worldwide.
Intuit is expanding its social, mobile, and global footprint with a full suite of products and services that are revolutionizing the industry. Utilizing design for delight and lean startup methodologies, our entrepreneurial employees have brought more than 250 innovations to market – from QuickBooks® and TurboTax®, to GoPayment, Mint.com, big data, cloud (SaaS, PaaS) and mobile apps. The breadth and depth of these customer-driven innovations mean limitless opportunities for you to turn your ingenious ideas into reality at Intuit.
Discover what it's like to be part of a team that rewards taking risks and trying new things. It's time to love what you do! Check out all of our career opportunities at: careers.intuit.com. EOE AA M/F/Vet/Disability
Intuit will consider for employment qualified applicants with criminal histories in a manner consistent with requirements of local law.
Overview
Intuit's Small Business & Self Employed Customer Success organization is seeking an experienced and highly motivated Sr. Manager of Forecasting and Analysis to join the Business Planning & Analysis team within the Customer Success organization.
An ideal candidate will have both deep technical/analytical expertise and analytical/forecasting leadership experience. This role uses extensive business domain knowledge in combination with expertise in data and analytics to quantify and prioritize business opportunities, lead large analytical projects, drive critical customer contact forecasting processes, and explain the business impact of the associated actions.
Additionally, this leader will need to be skilled at development of a highly talented team, prioritization of work, and creating high employee engagement. For this person to be successful, we are not only looking for a person deep experience and subject matter expertise, but also someone that is highly collaborative, innovative and versatile with the ability to effectively building strong partnerships both internally within the team and externally within the larger organization.
Responsibilities
Lead a team of senior analysts that do complex analytical initiatives, develops tracking, combines data from multiple sources to extract meaning, reconciles assumptions, and identifies logical paths for action
Set analytics objectives and exercise a wide latitude of discretionary judgment in exploring advances in data-driven business growth, and their application to business strategy; develop methodologies to measure the impact of business initiatives
Lead the forecasting business cycle to provide timely, accurate and actionable 18-month rolling multi-channel contact forecasts and staffing plans for multiple products and services, groups and/or locations, including offerings across North America, EMEA, and APAC
Lead statistical modeling to project the potential impacts of product and service offering changes, customer workflow and process changes, and customer routing changes, including financial implications; project intra-quarter operational performance including financial projections
Partner with cross-functional teams including Customer Success, Product, Marketing, Engineering, Finance, and Data Product and Analytics to translate complex business requirements into a roadmap to deliver customer and business outcomes and financial objectives; provide recommendations on improvement plans
Understand the current ecosystems, historical customer behaviors, and long-term trends in order to identify ways to drive personalization for customers and business growth
Provide insights to key stakeholders and senior leaders on impact of strategic initiatives on the key metrics and suggest appropriate analysis, ideas and data points to help drive business decisions.
Partner with leadership to prioritize areas of opportunity to drive growth and improved customer retention while optimizing customer experiences
Identify future competencies of business data analysts and help to develop organizational capability within own team and across peers; grows and develops a highly talented, high performing team
Qualifications
Bachelor degree in Finance, Economics, Management Information Systems, Statistics, or a related quantitative field; Masters preferred.
10+ years of experience in identifying insights-based business opportunities, leading or partnering on initiative design, overseeing initiative execution and tracking business outcome; experience in forecasting preferred.
5+ years of experience in directly leading analytics or forecasting teams with a proficiency in developing subject matter experts both professionally and interpersonally.
Ability to lead and drive change in a matrix organization, with proven experience driving results through influence to achieve cross-functional team alignment.
Experience in building planning processes and driving cross functional collaboration; experience with Anaplan or other advance planning tools
Experience in leveraging relational databases and data warehouses such as MySQL,; Altryz and userbase level data manipulation tools; AWS experience a plus.
Some knowledge of programming languages and stats packages (e.g. python, R, SAS, JMP); understanding of forecasting techniques; experience with BI/visualization packages such as Tableau, Business Objects, QlikView.
Domain expertise in subjects such as experimental design, Multivariate/A-B testing is a plus.
Experience mentoring and guiding others both within your team and across the organization. Passionate about the advancement of whole team with a “win together” attitude.
Imagine a career where your creative inspiration can fuel BIG innovation. Year-over-year, Intuit has been recognized as a best employer and is consistently ranked on Fortune's "100 Best Companies To Work For" and Fortune World's "Most Admired Software Companies" lists. Immerse yourself in our award winning culture while creating breakthrough solutions that simplify the lives of consumers and small businesses and their customers worldwide.
Intuit is expanding its social, mobile, and global footprint with a full suite of products and services that are revolutionizing the industry. Utilizing design for delight and lean startup methodologies, our entrepreneurial employees have brought more than 250 innovations to market – from QuickBooks® and TurboTax®, to GoPayment, Mint.com, big data, cloud (SaaS, PaaS) and mobile apps. The breadth and depth of these customer-driven innovations mean limitless opportunities for you to turn your ingenious ideas into reality at Intuit.
Discover what it's like to be part of a team that rewards taking risks and trying new things. It's time to love what you do! Check out all of our career opportunities at: careers.intuit.com. EOE AA M/F/Vet/Disability
Intuit will consider for employment qualified applicants with criminal histories in a manner consistent with requirements of local law.
Feb 01, 2019
Full-time
Overview
Intuit's Small Business & Self Employed Customer Success organization is seeking an experienced and highly motivated Sr. Manager of Forecasting and Analysis to join the Business Planning & Analysis team within the Customer Success organization.
An ideal candidate will have both deep technical/analytical expertise and analytical/forecasting leadership experience. This role uses extensive business domain knowledge in combination with expertise in data and analytics to quantify and prioritize business opportunities, lead large analytical projects, drive critical customer contact forecasting processes, and explain the business impact of the associated actions.
Additionally, this leader will need to be skilled at development of a highly talented team, prioritization of work, and creating high employee engagement. For this person to be successful, we are not only looking for a person deep experience and subject matter expertise, but also someone that is highly collaborative, innovative and versatile with the ability to effectively building strong partnerships both internally within the team and externally within the larger organization.
Responsibilities
Lead a team of senior analysts that do complex analytical initiatives, develops tracking, combines data from multiple sources to extract meaning, reconciles assumptions, and identifies logical paths for action
Set analytics objectives and exercise a wide latitude of discretionary judgment in exploring advances in data-driven business growth, and their application to business strategy; develop methodologies to measure the impact of business initiatives
Lead the forecasting business cycle to provide timely, accurate and actionable 18-month rolling multi-channel contact forecasts and staffing plans for multiple products and services, groups and/or locations, including offerings across North America, EMEA, and APAC
Lead statistical modeling to project the potential impacts of product and service offering changes, customer workflow and process changes, and customer routing changes, including financial implications; project intra-quarter operational performance including financial projections
Partner with cross-functional teams including Customer Success, Product, Marketing, Engineering, Finance, and Data Product and Analytics to translate complex business requirements into a roadmap to deliver customer and business outcomes and financial objectives; provide recommendations on improvement plans
Understand the current ecosystems, historical customer behaviors, and long-term trends in order to identify ways to drive personalization for customers and business growth
Provide insights to key stakeholders and senior leaders on impact of strategic initiatives on the key metrics and suggest appropriate analysis, ideas and data points to help drive business decisions.
Partner with leadership to prioritize areas of opportunity to drive growth and improved customer retention while optimizing customer experiences
Identify future competencies of business data analysts and help to develop organizational capability within own team and across peers; grows and develops a highly talented, high performing team
Qualifications
Bachelor degree in Finance, Economics, Management Information Systems, Statistics, or a related quantitative field; Masters preferred.
10+ years of experience in identifying insights-based business opportunities, leading or partnering on initiative design, overseeing initiative execution and tracking business outcome; experience in forecasting preferred.
5+ years of experience in directly leading analytics or forecasting teams with a proficiency in developing subject matter experts both professionally and interpersonally.
Ability to lead and drive change in a matrix organization, with proven experience driving results through influence to achieve cross-functional team alignment.
Experience in building planning processes and driving cross functional collaboration; experience with Anaplan or other advance planning tools
Experience in leveraging relational databases and data warehouses such as MySQL,; Altryz and userbase level data manipulation tools; AWS experience a plus.
Some knowledge of programming languages and stats packages (e.g. python, R, SAS, JMP); understanding of forecasting techniques; experience with BI/visualization packages such as Tableau, Business Objects, QlikView.
Domain expertise in subjects such as experimental design, Multivariate/A-B testing is a plus.
Experience mentoring and guiding others both within your team and across the organization. Passionate about the advancement of whole team with a “win together” attitude.
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.
