Sr. BI Engineer

Role overview Join a business intelligence team as a product-minded senior BI engineer responsible for trusted KPI reporting, self-service analytics, and the data foundations that support business decisions. The work spans data quality, reporting pipelines, semantic and dimensional modeling, dashboard development, ad-hoc analysis, and close partnership with product, marketing, data engineering, and business teams.

Responsibilities - Own maintenance and business logic for reporting data pipelines, ensuring data quality and consistency. - Investigate conflicting data sources, diagnose KPI changes, and identify the underlying business drivers. - Build clear dashboards, reports, visualizations, and recommendations that help stakeholders understand user behavior. - Design scalable data models and contribute to a curated reporting architecture that enables self-service analytics. - Improve the reliability, efficiency, and scalability of the BI environment. - Perform deep-dive analysis for questions from stakeholders across the organization. - Partner with data engineering to deliver projects that unlock useful, well-structured data. - Serve as a trusted technical and analytical partner to product, marketing, and core business teams.

Requirements - 4–6 years in BI engineering, analytics engineering, data engineering, or a comparable technology role. - Advanced or expert SQL skills. - Proficiency with a visualization platform such as Tableau, Power BI, or Looker. - Familiarity with Python or R for analytical work. - Experience building data warehouses and modeling data through ETL pipelines, including platforms such as Snowflake, Redshift, or BigQuery. - Ability to translate business needs into maintainable technical solutions and manage cross-functional projects. - A curious, investigative approach to understanding why metrics move and validating conclusions with data. - A relevant master’s degree or equivalent professional experience.

Nice to have - Experience creating AI-ready data models or semantic layers and using data cataloging tools. - Experience with consumer-facing subscription, direct-to-consumer, mobile, or web products, including acquisition, retention, and engagement metrics.

Benefits and work setup The source describes comprehensive healthcare, retirement savings with employer matching, paid family leave, mental health resources, wellness and technology allowances, performance-related rewards, learning opportunities, mentorship, and an inclusive workplace culture.