Senior Analytics Engineer
Senior Analytics Engineer to own analytics transformation layer, data models, and metrics. Build trusted data foundations using dbt and modern warehouses to power insights for stakeholders across the company.
About the job
Key Responsibilities
- Own and mature Fora’s analytics transformation layer, including the data models, context, and systems used to manage it
- Build modern analytics foundations that power AI-driven insights and action (both in BI-tool native AI apps, as well as through the use of MCP servers)
- Collaborate with business stakeholders to understand their needs, determine projects, and define requirements
- Improve quality, reliability, and performance, including reducing latency and managing cost as our data scales
- Promote a culture of data excellence through mentorship, documentation, and training
- Contribute to broader Data team strategy, project prioritization, and the continuous evolution of analytics best practices
Requirements
- 5+ years of experience in data analytics, including 2+ in an analytics engineering or an equivalent role
- Advanced SQL skills. Experience with Python is a plus
- Experience building and maintaining dbt projects in a production environment
- Hands-on with data warehouses such as BigQuery, Snowflake, Databricks
- Experience with modern BI tools such as Omni, Sigma, Hex, or Looker
- Familiarity with data ingestion (Airbyte, Fivetran) or orchestration tools
- Experience using LLM tools such as Claude Code, Cursor, or OpenAI Codex
- Strong cross-functional communication skills and experience partnering with technical and non-technical stakeholders
Compensation & Benefits
- Indicative range of $130K–$185K + equity
- Unlimited vacation
- Health Insurance (including an option completely covered by Fora)
- Dental & Vision Insurance
- Wellhub Memberships
- 401k plan with company match
- Commuter Benefits
- Supplemental Life Insurance
- Stock Options
Skills
SQL, dbt, BigQuery, Snowflake, Databricks, Looker, Airbyte, Fivetran, Python, LLMs
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