Senior Analytics Engineer, Product
Core
Architect event data models and pipelines to power product decision-making and self-serve analytics for a legal tech platform.
Role type
Senior Analytics Engineer (Product)
Builds
Scalable data models, semantic layers, and analytical dashboards for product teams.
Domain
Legal technology / Product Analytics
Deliverable
production ML models | product features | dashboards & analysis
Required skills
SQL, dbt, Python, Snowflake, semantic layer design (LookML/Omni), event tracking strategy, data modeling standards, version control (GitHub), CI/CD
Preferred skills
Product analytics tools (Mixpanel, Segment, Amplitude), JSON/semi-structured data modeling, AI/LLM knowledge, enterprise data warehouse management
Technologies
dbt, Snowflake, Looker, Omni, GitHub, Mixpanel, Segment, Amplitude
Responsibilities
Design and build scalable data models and pipelines using dbt; Define and implement a robust semantic layer to standardize business metrics; Partner cross-functionally to deliver intuitive dashboards; Establish data modeling standards and best practices; Partner with Product and Engineering to design tracking plans for new product surfaces; Own the product event tracking strategy including schemas and identity resolution; Empower stakeholders with discoverable and well-documented analytical assets.
Seniority
Senior, hands-on IC