Senior Analytics Engineer
Core
Design and build data models and metrics to help the company understand customers and internal operations, improving product decisions and FinOps.
Role type
Senior Analytics Engineer (Data Science & Engineering team)
Builds
Data models, metrics, and data products for platform and business data
Domain
Cloud application platform / SaaS / FinOps
Deliverable
production ML models | product features | dashboards & analysis
Required skills
SQL, DBT, Python, Git, CI/CD, data modeling, medallion architecture, cloud cost modeling
Preferred skills
FinOps principles, FOCUS data models, AI data agents, modern AI-assisted data workflows
Technologies
GCP BigQuery, AWS S3, Fivetran, Hightouch, Metabase, Hex, Salesforce, Claude Code
Responsibilities
Design and build data models using DBT and medallion architecture; define and track key business metrics; collaborate with technical and non-technical teams to collect requirements and share best practices; lead data modeling projects and choose appropriate tools; work with petabyte-scale datasets to enable data-based decisions; guide partner teams on analytical metrics and data impact; improve team processes and code with well-documented, reusable solutions.
Seniority
Senior, hands-on IC with technical leadership