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TavilyEngineering

Data Analyst

IsraelFullTime
Must-haves
  • 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

Nice to have: 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.

The role
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.