Lead the end-to-end experimentation lifecycle for commerce experiments including payments and fraud prevention
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

Bachelor’s degree in Analytics, Computer Science, Statistics, Economics, Mathematics, or other quantitative or scientific field
5+ 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)
Experience with Python and/or R for statistical analysis and model building (desired)
Experience with global billing, payment processing, and/or fraud prevention (desired)
Experience in the streaming media industry and/or supporting a direct-to-consumer or subscription-based product (desired)

A bonus and/or long-term incentive units may be provided as part of the compensation package
Full range of medical, financial, and/or other benefits

Senior Data Analyst

Key skills