Tavily
Tavily

Data Analyst

TLDR

Drive cross-function data insights and build scalable dashboards to inform strategic decisions across GTM, Product, and business functions.


We are hiring a Data Analyst to join our data team, which drives cross-company insights and supports decision-making across GTM, Product, and Business functions.

Responsibilities:

  • Analyze and interpret data to support strategic and operational decisions

  • Build and maintain reports, dashboards, and visualizations used across the company

  • Work closely with stakeholders to understand business needs and translate them into data solutions

  • Ensure data quality, consistency, and reliability across systems

Requirements:

  • 3+ years of experience as a Data Analyst

  • Strong analytical skills and attention to detail

  • Proficiency in Python and SQL

  • Experience working with large-scale data environments

  • Hands-on experience with Snowflake and/or Databricks – required

  • Familiarity with AI coding tools (e.g., Claude Code, Cursor)

  • Experience working with Git

Tech stack:

  • Snowflake / Databricks

  • Modern BI and data visualization tools

  • Experience working in scalable data infrastructure

Education:

  • Bachelor’s degree in Statistics, Mathematics, Computer Science, or a related field – required

  • Master’s degree in a relevant field – preferred

Preferred qualifications:

  • Experience working with large and complex datasets

  • Strong business understanding and ability to translate data into actionable insights

  • This role is suited for someone who wants to be at the core of how data informs decisions across the organization.

Tavily builds the infrastructure for AI agents with a robust Search API that connects large language models (LLMs) to reliable web content, enabling real-time reasoning and retrieval-augmented generation (RAG). Our platform serves developers and enterprises, enhancing applications like sales assistants and research tools by ensuring they access accurate and relevant information at scale.

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