About The Position
We are seeking an Analytics Data Engineer to join our Sports Analytics & Engineering Practice. This role is focused on turning ingested data into trusted, high-value analytical assets that power dashboards, insights, and decision-making across digital products, marketing, and fan engagement. You will own the analytics layer of the data platform, building dimensional models and transformation logic that serve as a single source of truth for analysts, data scientists, and BI teams.
Responsibilities
- Design and build scalable data transformation pipelines using SQL, DBT, and Jinja templating
- Develop and maintain dimensional data models optimized for analytics and BI consumption
- Own the analytics data layer in DBT, enabling self-service analytics for business users
- Collaborate with product, analytics, and BI teams to translate business requirements into data models
- Enhance and maintain analytics codebases including DBT models, macros, tests, and documentation
- Implement data quality checks, tests, and governance-aligned transformations
- Optimize SQL for performance using partitioning, clustering, and materialized views
- Ensure semantic consistency and metric definitions across dashboards and reports
- Apply software engineering best practices including version control, CI/CD, and peer code reviews
- Support Agile development and collaborate with offshore teams for delivery and reviews
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Education Level
No Education Listed
