What You’ll Do

• Own business intelligence at Peec AI end-to-end, turning product, GTM, and customer data into clear, actionable insights for founders and leadership
• Design, build, and maintain high-impact dashboards and reporting that track company-level, GTM, and product performance
• Partner closely with Sales, Growth, Product, and Data Science to define metrics, answer ad-hoc questions, and support fast, data-driven decisions
• Continuously improve data quality, metric definitions, and reporting workflows as the company scales

What We’re Looking For

• 5+ years of experience in Business Intelligence, Analytics, or a closely related data role, ideally in a startup or high-growth tech environment
• Proven experience translating complex datasets into clear insights that inform product, GTM, and leadership decisions
• Strong Python or TypeScript and SQL skills with hands-on experience analyzing large datasets and building reliable, scalable reporting
• Ability to work closely with non-technical stakeholders, proactively surfacing insights rather than waiting for requests
• Most importantly: we care deeply about working with genuinely kind, collaborative, and hard-working people who make the team better through empathy and openness

Our BI Stack

• Languages: SQL, Python, TypeScript
• Backend: GCP, BigQuery, Postgres (AlloyDB), Firestore
• AI Models: OpenAI, Claude, Perplexity, Gemini, Llama, etc.

Bonus Points

• Experience in an early-stage startup, with a track record of building or scaling analytics from first principles in fast-changing environments
• Background in supporting GTM teams (Sales, Growth, CX) with funnel, revenue, and cohort analysis
• Touchpoints in Analytics Engineering (e.g. dbt, data modeling best practices)
• Experience in a PLG or high-velocity sales motion
• Prior exposure to AI, ML, or search-driven products

What We Offer

• Exciting and challenging work with real impact and ownership at one of Europe’s fastest-growing Series A startups
• Competitive salary and aggressive equity package
• Regular team events and off-sites
• Paid Uber Eats and Uber rides home when working late
• One of the most beautiful office spaces and work environments in Berlin