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).

What We’re Looking For:

• 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)

Nice to Have:

• Experience in a fast-paced startup

• Familiarity with Airflow or other orchestration tools

• Background in experimentation or A/B testing

We’re looking for someone who’s part analyst, part engineer, and all about impact.