We are looking for a Senior Data Analyst to join a team building an AI-powered identity data platform.

This is not a classic reporting role. You will work on complex data problems: measuring AI scoring quality, validating matching logic, analyzing provider performance, and helping Product & Engineering make better decisions.

We process large-scale datasets, integrate multiple external data sources, and run millions of enrichment operations daily. Your work will directly impact product quality, efficiency, and growth.

Responsibilities:

• Build metrics for data quality, match rates, scoring accuracy, and business impact
• Analyze performance of AI / LLM scoring models together with engineers
• Compare external data providers and identify best ROI sources
• Investigate anomalies, pipeline issues, and mismatched numbers
• Support internal teams with fast, data-backed analysis
• Create dashboards when needed — but focus mainly on the logic behind them
• Use AI tools to automate repetitive analytical work
  

Requirements:

• 5+ years in Data Analytics / Product Analytics / Data Science
• Strong SQL (BigQuery, Snowflake, Redshift or similar)
• Experience working with large datasets
• Python for analytics (pandas, notebooks, scripts)
• Experience defining KPIs or measurement frameworks from scratch
• Strong analytical thinking and ownership mindset
• Comfortable working with probabilistic / imperfect data systems
• Daily use of AI tools like ChatGPT, Claude, Copilot, etc.
• English B2+

Nice to Have:

• Experience with LLM evaluation or AI product analytics
• Identity resolution / entity matching experience

• AdTech / MarTech / Healthcare data background

What We Offer:

• Fully remote
• Flexible hours with CET overlap
• High-impact product role
• Direct collaboration with Product & Engineering leads
• AI-first working environment
• Fast decisions, no bureaucracy