AddressJob Summary:
The Subscriber Lifecycle vertical is looking for a Lead Data Analyst to join the Commerce Analytics team supporting global commerce experimentation across Disney’s streaming service offerings (Disney+, Hulu, ESPN+). The Commerce Experimentation Analytics function partners closely with Product Managers to test opportunities to minimize involuntary churn by reducing payment failures and improving payment recovery. This role will build strong relationships and partner closely with Product, Engineering, and Data Science teams to execute on innovative methods and best-in-class practices that power all of our improvements. The team’s work will drive the development of business and operational plans that are expected to have broad influence at all levels of the organization.
Responsibilities
Communicate complex analyses and results to a wide array of business stakeholders with varying technical expertise from operational teams to executive audiences, both in oral presentations and via written reports
Partner closely with the business and payments engineering partners to support Commerce A/B experimentation end-to-end: experimental design, metric definition, power analysis, QA, experiment launch support and monitoring, and communicating experiment results and recommendations
Partner closely with Commerce Product business stakeholders to identify and unlock opportunities to improve front-end payment funnels, backend payment processing strategy, and subscriber recovery strategy; combat global fraud and minimize risk
Develop and maintain ETL pipelines using SQL and python to automate reporting, share high-level insights, and equip partners with self-serve tools
Identify business-critical changes in payment health using anomaly detection methods
Translate complex business questions into SQL including proper cohorting, calculations, filtering criteria and/or aggregations
Partner with Data Science teams to uplevel analyses using clustering/segmentation, regression modeling, and/or predictive modeling
Required Qualifications
Bachelor’s degree in Data Science, Analytics, Computer Science, Statistics, Mathematics, or related field
7+ years of strategic analysis to inform product or business decision making
3+ years of hands-on analytics work experience with A/B testing and statistical analysis
Ability to draw insights and conclusions from data to inform model development and business decisions
Desire to collaborate with other data scientists, Data Analysts, engineers, and key business partners
Proficient in analyzing data and developing models using Python
Experience operationalizing and fully integrating models into business operations
Strong analytical skills with the ability to apply business strategy to data analysis and recommendations
Desired Qualifications
MS or PhD in Data Science, Analytics, Computer Science, Statistics, Mathematics, or related field
Experience in the global billing, payments, and fraud domains
Experience in the streaming media industry and/or supporting a direct-to-consumer or subscription-based product
Experience in the technology industry and knowledge of how to build and implement data products
The hiring range for this position in New York, NY is $142,600 to $191,100 per year. The base pay actually offered will take into account internal equity and also may vary depending on the candidate’s geographic region, job-related knowledge, skills, and experience among other factors. A bonus and/or long-term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial, and/or other benefits, dependent on the level and position offered.
