About the Role
We are looking for a pragmatic and curious Analytics Engineer to sit at the intersection of data engineering and data analysis. In this role, you will be the bridge between our raw data and the business stakeholders who need it.
You won鈥檛 just be building pipelines; you will be responsible for defining how the business looks at data. You will bring data engineering best practices to our analytics stack and ensure that our data models are clean, reliable, and performant.
Key Responsibilities
- Data Modeling & Transformation: Build and maintain high-quality data models using dbt and SQL. Transform raw data into clear, accessible datasets (Data Marts) that power our analytics.
- The Business/Tech Bridge: Act as a translator. collaborate with Data Analyst who works with Product, Marketing, Finance teams to understand their business logic, and turn vague business requirements into concrete technical implementations.
- Tooling & Automation: Use Python to automate repetitive tasks, build custom connectors, or enhance orchestration workflows.
- BI Enablement: Optimize data specifically for Tableau. Ensure that the data structure supports performant dashboards and intuitive exploration for end-users.
- Quality Assurance: Implement testing frameworks (within dbt) and CI/CD pipelines to ensure data accuracy. You will be the gatekeeper of data quality.
- Documentation: Maintain a data dictionary and documentation to ensure stakeholders understand the metrics they are looking at.