Senior Analytics Engineer (Data Modeling & BI)
Core
Design, build, and maintain data models to transform raw data into clean, trusted datasets for self-service and reporting, acting as a bridge between data engineering and business analytics.
Role type
Senior Analytics Engineer (Data Modeling & BI)
Builds
Reusable data assets, business-critical metrics, and domain-owned datasets for self-service analytics.
Domain
Live entertainment, culture, and events
Deliverable
production ML models
Required skills
SQL, data modeling (star/snowflake schemas, data vault), DBT, Python, orchestration frameworks (Airflow, Dagster, Prefect), cloud data warehouses (Snowflake, BigQuery, Redshift), BI tools (Metabase, Superset, Tableau), data quality, governance, and observability
Preferred skills
federated or data mesh environment experience, data catalog tools (DataHub, Collibra, Amundsen), analytics in marketing/CRM/B2B, Agentic AI and coding assistants
Technologies
Snowflake, DBT, Airflow, DataHub, Metabase, Python, SQL, BigQuery, Redshift, Tableau, Superset
Responsibilities
Design and maintain data models using DBT and SQL; collaborate with data engineering to define and certify business-critical metrics; work with business squads to understand needs and create reusable data assets; ensure data quality and consistency through testing frameworks and governance; support self-service analytics by enabling stakeholder exploration; contribute to Airflow pipelines for automation; create domain-owned datasets following data mesh vision; leverage Agentic AI tools to accelerate development.
Seniority
Senior, hands-on IC
