Senior BI Engineer
sweetgreen
Senior BI Engineer (Lead BI Engineer) at sweetgreen responsible for building and maintaining scalable BI data infrastructure and Tableau-based reporting across Marketing, Product, Finance, and Operations. Focus on governance, data quality, usability, and enabling self-service insights to empower data-driven decision-making.
Qualification
- 5+ years of experience in BI engineering or analytics with hands-on Tableau administration.
- Strong expertise in designing and maintaining a BI data layer and data models; experience with data quality monitoring.
- Proficient in SQL and working with relational databases (e.g., PostgreSQL, MySQL).
- Demonstrated ability to lead BI projects, partner with cross-functional stakeholders, and translate business needs into BI solutions.
- Experience delivering self-service BI and enabling non-technical users to perform analyses via well-designed data sources and calculated fields.
- Excellent communication and collaboration skills; ability to drive data governance and foster data-driven decision-making across multiple teams.
- Experience with Tableau Server configuration, permissions, and governance practices; ability to optimize dashboards for performance and reliability.
Responsibility
- Design, build, and maintain the BI data layer and data models to support reporting and analytics with a focus on performance, scalability, and usability.
- Tableau Administration and Governance: manage Tableau Server/Environment, configure access and permissions, enforce governance, and ensure dashboards remain accurate and performant.
- Lead BI development: create dashboards and reports in Tableau; develop self-service data sources, calculated fields, and enable stakeholders to perform analyses.
- Establish documentation, style guides, and governance frameworks for BI development to ensure consistency and quality.
- Partner with business stakeholders to gather requirements and translate them into scalable BI solutions across Marketing, Product, Finance, and Operations.
- Collaborate with data analysts and data scientists to ensure data availability and actionable insights; implement data quality monitoring and testing.
- Drive BI strategy, governance initiatives, and infrastructure improvements to scale with business growth.
