The Commerce, Profitability, & Revenue (CPR) Analytical Engineering team is looking for an experienced Sr. Data Analyst to develop, implement, operationalize, and optimize complex analytical data models and pipelines to improve current reporting and analytical usage, while future-proofing for new initiatives.
Requirements
- 3+ years of experience working with SQL
- Familiarity with data platforms and applications such as Snowflake and Databricks
- Familiarity with data exploration and data visualization tools like Tableau, Looker, Chartio, etc.
- 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
Other
- 5+ years of experience in an analytical, technical, or business operations role
- Strong communication skills, as well as written and verbal presentation skills
- Experience in the streaming media industry or other subscription-based service
- Experience in the payment data space
- Experience supporting multiple large-scale experiments
- Experience identifying and reporting on fraud attempts
- Experience in the technology industry, knowledge of data products
