Overview

You will be the analytical owner of your product domains — turning data into decisions for Product, R&D, Operations, and Business teams. Day to day, you will work hands-on in SQL and BI tools, partner closely with PMs and engineers, and help shape the strategic direction of the product through evidence.

Responsibilities:
  • Own all analytical aspects of your assigned product domains
  • Build and maintain reports, dashboards, and metrics, and monitor the integrity and validity of the data behind them
  • Use analytical tools, data mining, and business logic to consult the Product team on day-to-day questions and decisions
  • Analyze and optimize products and activities, take part in design and implementation as a key voice in strategic product decisions
  • Own and manage multiple data initiatives and projects, both ongoing and ad-hoc
  • Define alerts and monitor performance to improve process efficiency
  • Provide supporting data to help prioritize new features and initiatives
  • Work closely with Product, R&D, Operations, and Business teams
Required Qualifications:
  • 4+ years in a Product / Data / Business / Operations Analyst role in a data-rich environment
  • Current position MUST be an analyst role at a tech company (no finance, banking, or insurance backgrounds)
  • Excellent SQL — daily, hands-on query writing. This is not a role where SQL is occasional; expect to live in it
  • Strong verbal English (B2+ or higher). You will present findings to PMs, engineers, and business stakeholders directly in English every week.
  • Proven experience using AI tools in your analytics workflow (e.g. ChatGPT, Claude, Gemini, or similar for query generation, data exploration, or summarization)
Nice To Have:
  • Hands-on experience with Tableau, Power BI, or Looker
  • Experience analyzing datasets via an LLM tool
  • Passion for sports
Technologies:
  • SQL
  • Tableau
  • Power BI
  • Looker
  • LLM
  • ChatGPT
  • Claude
  • Gemini
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