Senior Analytics Engineer

📋 Description

• Own analytics transformation layer: data models, context, systems.
• Build analytics foundations powering AI-driven insights in BI apps and MCP.
• Collaborate with stakeholders to define projects and requirements.
• Improve data quality, reliability, and performance; reduce latency and cost.
• Promote data excellence through mentorship, documentation, and training.
• Contribute to Data team strategy and analytics best practices.

🎯 Requirements

• 5+ years in data analytics; 2+ in analytics engineering.
• Advanced SQL; Python a plus.
• Production dbt projects experience.
• Data warehouses: BigQuery, Snowflake, Databricks.
• BI tools: Looker, Omni, Sigma, Hex.
• Ingestion/orchestration tools; LLM tools (Claude/Cursor/Codex).

🎁 Benefits

• Unlimited vacation
• Health Insurance (including company-covered option)
• Dental & Vision Insurance
• 401k plan with company match
• Stock Options
• Commuter Benefits