Analytics Engineer
Core
Build and own data models and metric definitions for consumer analytics (marketing, lead generation, site traffic) to drive day-to-day operations and strategic decisions.
Role type
Analytics Engineer
Builds
Trusted data products (metrics, dimensional models) for BI tools, data scientists, and AI systems
Domain
Real Estate / Data Engineering
Deliverable
production ML models
Required skills
SQL, dbt, Git, CI/CD, data modeling, metric definitions, data quality testing
Preferred skills
metrics-as-code, semantic modelling, cloud data platforms (Databricks, Snowflake), BI tools (Tableau, Looker), AI/ML data consumption
Technologies
SQL, dbt, Git, CI/CD, Databricks, Snowflake, Tableau, Looker
Responsibilities
Build and maintain dimensional data models and metric definitions; Design data-quality tests, monitoring, and alerting; Partner with data engineering to fix upstream data issues; Work with US-based stakeholders to understand metric needs; Contribute to semantic layer definitions
Seniority
Mid-level (2+ years experience)
