Senior Analytics Engineer
Core
Own the transformation layer in dbt to design, build, and maintain modular data models and a semantic layer for consistent KPI definitions across analytics, product, and AI use cases.
Role type
Senior Analytics Engineer
Builds
Modular data models, reusable metrics, and a semantic layer abstraction over SaaS data
Domain
Cybersecurity / Human Risk Management / SaaS
Deliverable
production ML models | product features | dashboards & analysis
Required skills
dbt, SQL, dimensional modeling, metric design, cloud data warehousing, data quality testing, event-based data modeling, business acumen
Preferred skills
LLM data consumption patterns, product usage data modeling
Technologies
dbt, SQL, BigQuery, Snowflake, Redshift, MetricFlow, Cube
Responsibilities
Design and maintain modular, well-tested data models; Define and implement core business metrics as reusable assets; Integrate product events, CRM, and support data into fact and dimension models; Build and evolve the semantic layer for consistent KPI definitions; Collaborate on upstream data contracts and event schemas; Establish best practices in testing, documentation, and data quality
Seniority
Senior, hands-on IC