Analytics Engineer
Core
Design and maintain curated data layers (Silver/Gold) and executive dashboards to translate data products into actionable business insights.
Role type
Analytics Engineer (Data Platform & Visualization)
Builds
Curated data layers, semantic models, certified dashboards, and visualizations for reporting and experimentation.
Domain
Media / Data Engineering & Business Intelligence
Deliverable
production ML models | product features | dashboards & analysis
Required skills
SQL, dbt, BI/visualization tools (Looker, Tableau, Power BI), medallion architecture, data governance, versioning, testing, CI/CD, data storytelling
Preferred skills
Experience with Snowflake/BigQuery/Redshift, feature store documentation, hub-and-spoke model adaptation
Technologies
dbt, Looker, Tableau, Power BI, Mode, Snowflake, BigQuery, Redshift
Responsibilities
Define, version, and maintain business metrics and semantic models; Build and maintain executive dashboards; Enforce best practices for data visualization and stakeholder adoption; Collaborate with data engineering on Silver layer requirements; Implement data quality tests and lineage tracking; Serve as a bridge to data science for feature store documentation.
Seniority
Mid-level (2-5+ years), hands-on IC
