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# Data Analyst

- **Company:** The Walt Disney Company
- **Location:** Santa Monica, CA, United States
- **Experience:** Experienced
- **Salary:** $97,500.0 - $130,700.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Data Analysis, Big Data, Information Engineering, Data Visualization, Fraud Prevention and Detection, Python (Programming Language), SQL Databases, Tableau (Software), Transaction Data, Snowflake, Advanced Reports, Data Strategy, Information Technology, Looker Analytics, Data Pipelines, Databricks
- **Published:** August 28, 2026
- **Apply:** https://www.nexxt.com/job.asp?id=3367893572&tx=VT6762THT&pt=1&aff=0B19D771-A501-4A5E-8338-2A822B784D54&utm_source=Job%20Feed&utm_medium=textkernel&utm_campaign=DE&utm_term=0B19D771-A501-4A5E-8338-2A822B784D54

## About the Role

* Bachelor's degree in Analytics, Computer Science, Statistics, Economics, Mathematics, orotherrelatedfield.
 * 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, andexperimentationmechanics in technology products.
 * Strongproficiencyin SQL (especially Snowflake and/or Databricks) for manipulating large data sets, building data pipelines, and interpreting data trends.
 * Expertise withdata exploration and data visualization tools like Looker and Tableau.
 * Strong technical analysis skills to investigate issues, analyze causes, quickly developpossible 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.

## Description

* Lead the end-to-end experimentation lifecycle for commerce experiments including payments and fraud prevention. This includes defining success metrics,determiningrequired sample sizes, andvalidatingrandomization.
 * Partner closely with business stakeholders (Product, Data Science, Business Operations, etc.) to analyze user behavior, design and evaluate interventions in payment and monetization, andidentifyways to maximize subscriber retention.
 * Create andmaintainoperational 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.


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