Senior Marketing Data Product Lead

The Walt Disney Studios

Burbank (CA)

On-site

USD 118,000 - 158,000

Full time

3 days ago
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Benefits offered by this job

Health benefits
Savings plan
Educational opportunities
Disney perks

Job summary

The Walt Disney Studios in Burbank, CA is seeking a Sr Analyst, Marketing Data Product to drive data collection, cleaning, and insights across our Performance Marketing tools. You will help design data pipelines and analytics interfaces, blending advertising creativity with data-driven decisions.

You will collaborate with an embedded Disney media team to deliver high-impact insights, build prototypes with AI/LLMs, and ensure data quality across dashboards and pipelines, while reporting to the

Qualifications

  • 5+ years in Data Engineering/Analytics or technical Product Management
  • Strong experience with SQL and large datasets
  • Experience with workflow tracking tools (e.g., Airtable)
  • Ability to manage multiple projects and meet deadlines

Responsibilities

  • Maintain product roadmaps for a small suite of Performance Marketing tools
  • Own data tables and collections; act as SME for data assets
  • Coordinate product releases with external teams
  • Write/approve technical user stories for engineers
  • Collaborate with software engineers to improve processes and tools
  • Ensure analytics tools/dashboards deliver value for campaigns
  • Leverage AI/LLMs to prototype and build new tools

Skills

SQL
Data Analytics
Technical PM
Data Engineering
Airtable

Education

Bachelor's degree in CS / Business Analytics
Master's degree (preferred)

Tools

Databricks
Snowflake
Tableau
Power BI
Python

Job description

The Walt Disney Studios in Burbank, CA is seeking a Sr Analyst, Marketing Data Product to drive data collection, cleaning, and insights across our Performance Marketing tools. You will help design data pipelines and analytics interfaces, blending advertising creativity with data-driven decisions.

You will collaborate with an embedded Disney media team to deliver high-impact insights, build prototypes with AI/LLMs, and ensure data quality across dashboards and pipelines, while reporting to the

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