Analytics Engineer

As an Analytics Engineer at Tavily, you’ll turn messy, complex data into clear, actionable insight. You’ll build clean, well-modeled datasets, design core business metrics, and help teams across the company make better decisions, faster.

This is a great role for someone who loves digging into ambiguity, asking sharp questions, and building clarity through data.

What You’ll Do:

• Own the transformation layer of the data stack using dbt and SQL
• Design and maintain core data models and business logic
• Build dashboards and reports with BI tools.
• Work directly with teams across product, buisness, and R&D to surface insights.
• Tame messy, multi-source data (Snowflake, MongoDB, other NoSQL/SQL systems).
  
  

• 2–5 years in an analytics, data, or BI role
• Strong SQL skills and experience with dbt or equivalent frameworks
• Proficent in Python for data analysis and automation (pandas , plotly...)
• Experience with BI tools and building user-friendly dashboards
• Strong business understanding, you don’t just write queries, you ask why
• Love for messy data and a track record of turning it into something useful
• Experience with Snowflake and MongoDB (or similar)
  
  

• Experience in a fast-paced startup
• Familiarity with Airflow or other orchestration tools
• Background in experimentation or A/B testing