Senior Analytics Engineer

5-8+ years in analytics engineering, BI development, or data visualization roles. Expert-level SQL and proficiency in transformation frameworks like dbt. Deep experience with BI and visualization tools (Looker, Sigma, or similar). Skilled at architecting curated datasets, semantic layers, and metric stores. Familiar with modern data stack technologies (Snowflake, BigQuery, Redshift, or equivalent). Strong understanding of medallion architecture, data modeling, and data governance best practices. Familiarity with version control, testing, and CI/CD practices for analytics pipelines. Excellent communication and data storytelling skills. Proven ability to influence technical and non-technical stakeholders.

Own and maintain business metrics and semantic models. Shape data layers in partnership with data engineers. Build and maintain executive dashboards and visualizations. Define and enforce analytics modeling and documentation best practices. Design and maintain data marts, metric stores, and semantic layers. Ensure accuracy, documentation, and certification of dashboards and models. Partner with data scientists to integrate model outputs. Lead initiatives to improve data quality, observability, and governance. Mentor mid-level analytics engineers. Act as a trusted advisor to leaders on analytics alignment. Design data structures to power a self-service analytics platform.