Data Analyst

Disney Disney · Media · Burbank, CA +1

Seeking a Data Analyst to support enterprise consumer data initiatives, driving business insights and value by discovering, validating, and organizing data. The role involves collaborating with various teams to ensure data accuracy, accessibility, and translation into meaningful outcomes, supporting analytics, dashboards, and activation efforts.

What you'd actually do

  1. Explore and evaluate enterprise customer data sources, uncovering valuable insights and opportunities for business impact.
  2. Validate and document operational data metrics; ensure accuracy, consistency, and transparency of data to be used for analytical reporting.
  3. Organize, transform, and document complex datasets into user-friendly formats for analytics and business partners.
  4. Partner with Engineering team on ETL, schema design, and data transformations to align with marketing and analytics requirements.
  5. Support delivery of data dictionaries, data quality certifications, metric definitions, and business glossary entries for use in data catalog and reporting tools.

Skills

Required

  • 2+ years in a data analytics, data quality, or related analyst role.
  • Experience querying and validating datasets using SQL and analytical tools (e.g., Snowflake, Tableau, or similar).
  • Strong skills in data validation, metric reconciliation, and business definitions.
  • Familiarity with enterprise data cataloging, data dictionaries, and documentation best practices.
  • Ability to partner with engineering, marketing, and data governance teams.
  • Excellent communication and organizational skills.
  • Bachelor’s degree or equivalent experience.

Nice to have

  • Experience in media, entertainment, or a related field.
  • Working knowledge of data quality, ETL, and audience/CRM analytics.
  • Exposure to data cataloging tools (e.g., Alation), data modeling, and privacy compliance (e.g., CCPA, GDPR, VPPA).
  • Experience supporting cross-functional business intelligence or analytics teams.