Data Analyst

THE ROLE

You will be the analytical owner of your product domain- 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.

WHAT YOU'LL DO

• 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

   

WHAT YOU'LL NEED (must-have)

• 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 - fluency matters.
• Excellent communication skills - the ability to deliver the results of an analysis clearly, concisely, and confidently 

• 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 (advantage, not required)

• Hands-on experience with Tableau, Power BI, or Looker
• Experience analyzing datasets via an LLM tool

• Passion for sports

   

WHO THIS IS NOT FOR

• Analysts coming from finance, banking, or insurance -we are looking specifically for tech / SaaS / product backgrounds
• Anyone whose English is below confident B2; this role is stakeholder-facing in English daily
• SQL-light profiles- if you write a few queries a week rather than every day, this role will not fit