Data Analyst

The Walt Disney Company (France); Santa Monica (CA); On-site; USD 98,000 - 131,000; Full time

Benefits offered by this job

Bonus and long-term incentive units

Job summary

The Walt Disney Company is seeking a Data Analyst to measure, understand, and improve purchasing and payment experiences. You will drive end-to-end experiments, build dashboards, and partner with Product, Engineering, Data Science, and Business Operations to deliver actionable insights.

Responsibilities include leading experimentation lifecycles, analyzing user behavior, and creating self-service analytics for stakeholders.

Qualifications

• Bachelor’s degree in analytics, CS, statistics, economics, math or related field.
• 3+ years of hands-on analytical work experience with SQL.
• Strong knowledge of statistics, causal inference, and experimentation mechanics.
• Proficiency in SQL (Snowflake/Databricks) for large data sets and pipelines.
• Experience with Looker and Tableau for data visualization.
• Ability to document data requirements and data rules.

Responsibilities

• Lead end-to-end experimentation lifecycle for commerce experiments including payments and fraud prevention.
• Partner with stakeholders to analyze user behavior and design interventions in payment and monetization.
• Create and maintain dashboards in Looker and Tableau for performance over time.
• Translate business questions into actionable analysis plans with hypotheses and results.
• Collaborate with Analytics Engineering/Data Engineering/DS teams to build data pipelines.

Skills

SQL

Looker

Tableau

Statistics

Experimentation

Data exploration

Python

R

Data pipelines

Causal inference

Education

Bachelor’s degree in Analytics/CS/Statistics

Tools

Snowflake

Databricks

Looker

Tableau

Job description

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.

The hiring range for this position in Santa Monica, CA is $97,500 to $130,700 per year and in New York, NY is $102.100 to $136,900 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.