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About the Role
The Subscriber Lifecycle & Commerce Analytics team seeks a Data Analyst to enhance the purchasing and payment experience through exploratory data analysis, advanced reporting, data visualization, and storytelling. This role will collaborate with various business units and partners to drive strategic analyses and execute experiments in areas like payment processing and fraud prevention.
Responsibilities
- Lead the end-to-end experimentation lifecycle for commerce experiments, including defining success metrics, determining sample sizes, and validating randomization.
- Partner with business stakeholders to analyze user behavior, design and evaluate interventions in payment and monetization, and identify strategies to maximize subscriber retention.
- Create and maintain operational dashboards in Looker and Tableau for performance tracking, exploratory analysis, and partner self-service.
- Translate complex business questions into actionable analysis plans, including hypotheses, SQL queries, statistical results, impact estimation, and executive presentations.
- Collaborate with Analytics Engineering, Data Engineering, and Data Science teams to build data pipelines for transactional data, simplifying domains for business users and enabling advanced modeling.
Requirements
- Bachelor’s degree in Analytics, Computer Science, Statistics, Economics, Mathematics, or a related field.
- 3+ years of hands-on analytical work experience with SQL for strategic analysis and 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 (Snowflake and/or Databricks) for manipulating large datasets, building data pipelines, and interpreting data trends.
- Expertise with data exploration and visualization tools like Looker and Tableau.
- Strong technical analysis skills for issue investigation, root cause analysis, solution development, change documentation, and impact communication.
- Strong experience in documenting data requirements, data strategy, and data rules (standardization, cleansing, and validation).
Skills
- SQL
- Snowflake
- Databricks
- Looker
- Tableau
- Data Analysis
- Data Visualization
- Statistical Analysis
- Causal Inference
- Experimentation
- Python
- R
Location
- Santa Monica, CA, USA
- USA - NY - 7 Hudson Square
Work Type
- Full time
Experience Level
- 3+ years
Education Level
- Bachelor’s degree
Salary/Compensations
- $97,500 to $130,700 per year (Santa Monica, CA)
- $102,100 to $136,900 per year (New York, NY)
Benefits
- Bonus and/or long-term incentive units may be provided.
- Full range of medical, financial, and/or other benefits.
About the Company
- The Walt Disney Company