The Subscriber Lifecycle & Commerce Analytics team is looking for a Data Analyst who will help to measure, understand, and take action to improve our purchasing and payment experience. Our team masters exploratory data analysis, advanced reporting, data visualization, and storytelling to deliver actionable insights and provide recommendations to drive business decision-making. This team collaborates with stakeholders from business units across The Walt Disney Company to generate insightful, compelling, and strategic analyses. This role will build strong relationships and partner closely with Product, Engineering, Data Science, Business Operations, and other Analytics teams to ensure the business executes effective experiments around payment processing, fraud prevention, and other commerce domains. 

Responsibilities 

• Lead the end-to-end experimentation lifecycle for commerce experiments including payments and fraud prevention. This includes defining success metrics, determining required sample sizes, and validating randomization. 

• Partner closely with business stakeholders (Product, Data Science, Business Operations, etc.) to analyze user behavior, design and evaluate interventions in payment and monetization, and identify ways to maximize subscriber retention. 

• Create and maintain operational dashboards in Looker and Tableau to understand performance over time, enable efficient exploratory analysis, and equip partners with self-service tools. 

• Translate complex business questions into actionable analysis plans, including testable hypotheses, SQL queries, statistical results, impact estimation and measurements, and executive-level business presentations. 

• Partner with Analytics Engineering, Data Engineering, and Data Science teams to build full pipelines on complex transactional data that simplify and clarify these domains for business users and enable advanced modeling and AI uses. 

Required Qualifications 

• Bachelor’s degree in Analytics, Computer Science, Statistics, Economics, Mathematics, or other related field. 

• 3+ years of hands-on analytical work experience with SQL driving strategic analysis to inform product or business decision making. 

• Strong analytical skills with the ability to apply business strategy to data analysis and recommendations. 

• Strong foundational knowledge of applied statistics, causal inference, and experimentation mechanics in technology products. 

• Strong proficiency in SQL (especially Snowflake and/or Databricks) for manipulating large data sets, building data pipelines, and interpreting data trends. 

• Expertise with data exploration and data visualization tools like Looker and Tableau. 

• Strong technical analysis skills to investigate issues, analyze causes, quickly develop possible solutions, document changes, and communicate organizational impact. 

• Strong experience in documenting data requirements, data strategy, and data rules (standardization, cleansing, and validation). 

Desired Qualifications 

• Experience with Python and/or R for statistical analysis and model building. 

• Experience with global billing, payment processing, and/or fraud prevention. 

• Experience in the streaming media industry and/or supporting a direct-to-consumer or subscription-based product.