Data Engineer (BI)

Reposted 13 Days Ago
Be an Early Applicant
Berlin
In-Office
Senior level
Software
The Role
As a Business Intelligence Analyst, you'll manage BI processes, create dashboards, and collaborate with teams to drive data-driven decisions, enhancing data quality and metric definitions.
Summary Generated by Built In
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

  • Build and scale Peec’s analytics foundations together with the engineering team - including data pipelines, warehouse architecture, and BI tooling from scratch

  • 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

  • Hands-on experience setting up a BI stack end-to-end (e.g. Tableau, Looker, BigQuery, dbt, or similar)

  • 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

Top Skills

BigQuery
Claude
Firestore
GCP
Gemini
Llama
Openai
Perplexity
Postgres
Python
SQL
Typescript
Am I A Good Fit?
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The Company
30 Employees
Year Founded: 2025

What We Do

Enabling companies to analyse and improve their visibility in AI search results.

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