Sr Data Analyst
About The Position
About The Role The Data Intelligence & Analytics (DnA) team sits at the heart of The Walt Disney Company’s streaming ecosystem—driving business decisions for Disney+, Hulu, and ESPN through analysis, insights, and analytics capabilities. The Streaming Subscriber and Retention Analytics Engineering Team is seeking a Senior Data Analyst to join the Subscriber & Retention Analytics Engineering team to help in developing and maintaining subscriber and retention data assets to support reporting & analytical usage. This Senior Analyst will work closely with Product, Data Engineering, Data Science, Finance, and Business Operations to understand their data requirements and to make sure our data models fully meet their needs.
Requirements
- Bachelor’s degree in business, economics, mathematics, statistics, computer science, or related field
- 5+ years experience in an analytical, technical, or business operations role
- 3+ years of hands-on SQL experience
- Familiarity with data platforms and applications such as Snowflake and Databricks
- Familiarity with data exploration and data visualization tools like Tableau, Looker, Chartio, etc.
- Strong communication skills, as well as written and verbal presentation skills
Nice To Haves
- Experience in the streaming media industry or other subscription-based service
- Experience with subscription and churn data
- Experience in the technology industry, knowledge of data products
- Python experience writing, managing and deploying code
Responsibilities
- Implement core metrics & dimensions to be leveraged for monitoring business health and for measuring business decision success
- Design and implement scalable, intuitive data models that answer the analytical & business questions of today and tomorrow
- Partner with analytics stakeholders to fully detail the complexities of our commerce data and to provide data usage best practices
- Create presentations and visualizations that provide analytical support for new commerce metrics & concepts that both technical and non-technical audiences can understand
- Champion data quality by fostering relationships with engineering partners and minimizing technical debt where possible
- Develop documentation for wide-ranging audience to use commerce data as intended
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
