Analytics Engineer
Core
Bridge between data engineering and business analytics to ensure stakeholders make decisions on reliable, well-modeled, and discoverable datasets.
Role type
Analytics Engineer
Builds
Clean, trusted datasets for self-service and reporting; reusable data assets for business squads.
Domain
Live entertainment and culture platform
Deliverable
production ML models | product features | dashboards & analysis
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 practices
Preferred skills
federated or data mesh environment experience, data catalog tools (DataHub, Collibra, Amundsen), analytics in marketing/CRM/B2B domains
Technologies
Snowflake, DBT, Airflow, DataHub, Metabase, Python, SQL
Responsibilities
Design and maintain data models transforming raw data into clean datasets; 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 via testing frameworks and governance; support self-service analytics by enabling data exploration; contribute to Airflow pipelines for automation; create domain-owned datasets following data mesh vision
Seniority
Mid-level, hands-on IC