Analytics Engineer

📋 Description

• Own the path from source systems to canonical datasets, metrics, and dashboards.
• Identify and fix data-quality issues across pipelines, models, definitions, and reporting surfaces.
• Build and maintain reliable warehouse models using SQL and dbt or equivalent tooling.
• Establish clear metric definitions, tests, lineage, freshness monitoring, documentation, and
• Partner closely with Product, Engineering, RevOps, Growth, and GTM to translate business concepts
• Create trusted dashboards for core company metrics such as activation, usage, billing, customer

🎯 Requirements

• 5+ years in analytics engineering, data engineering, or a technically rigorous analytics role
• Expert SQL and strong warehouse modeling fundamentals, including dimensional modeling
• Production experience with dbt or similar transformation tooling, plus testing, orchestration
• A track record of turning fragmented data and competing definitions into canonical, reusable models.
• Experience working across product, billing, CRM, and marketing data; self-serve funnel experience
• Strong judgment about when a problem belongs in a source system, pipeline, warehouse model

🎁 Benefits

• Competitive base salary alongside attractive equity package.
• Fully covered medical insurance along with dental and vision for you and your family.
• 9 weeks paternity & 12 weeks maternity leave.
• 401(k) plan.
• Monthly commuter allowance.
• Flexible PTO.