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Head of Product & Engineering Analytics

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Onsite

Head of Product & Engineering Analytics

Personio

Head of Product & Engineering Analytics

Skills

SQL QueriesLookerTableauPythonData ScienceRSnowflakeAmplitudeData AnalysisAIdbt

2 months ago

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Important information


Location:

Berlin, Germany

Work mode:

Onsite

Published on:

21 August 2026

What they need


Who you are

  • 7+ years in analytics or data science, with at least 3 years experience leading a product analytics function (coaching, hiring, and growing teams)
  • Direct, hands-on experience applying AI/LLMs to analytics workflows (e.g. natural-language querying, AI agents for insight generation, automated anomaly detection) that you’ve personally shipped, not just read about
  • Expert hands-on technical skills: SQL, Python/R, dbt or similar, plus fluency with BI tools (Looker, Tableau) and behavioral analytics platforms (Amplitude, Heap, Mixpanel). Snowflake experience is a plus
  • Strong track record defining metrics frameworks and success criteria for product organisations
  • Comfortable operating as a strategic partner to senior Product & Engineering stakeholders
  • Excellent communication skills, able to bring both technical and non-technical audiences along on a change agenda

What the job involves

  • AI is changing what product analytics can do, and we want to lead that shift. As Head of - Product & Engineering Analytics, you’ll own our data strategy for Product & Tech (PTech) and lead the next chapter of product analytics at Personio: AI-first, agentic, and self-serve by design
  • You’ll partner closely with Product & Engineering leadership, and stay hands-on with the data yourself
  • This is a role for someone who wants to build the future of analytics, not just manage it
  • Lead the next chapter of PTech analytics: Build and embed AI-powered, agentic tooling into how PTech works with data, making self-serve insight generation and automation the default, not the exception
  • Own the data strategy: Define and drive the data & analytics strategy for Product & Tech, ensuring it evolves alongside how Personio builds products
  • Guide the product lifecycle with data: Define how data is leveraged at each stage of the product development lifecycle, from discovery and opportunity sizing through to post-launch impact measurement
  • Build metrics frameworks: Define and maintain the metrics frameworks PTech teams use to define and measure success
  • Partner with product leaders: Work hand-in-hand with Product & Engineering leadership to ground strategy and roadmap decisions in data
  • Change the culture: Foster a data & measurement-driven culture across PTech, raising the bar on data literacy and self-serve capability
  • Lead & stay close to the work: Build and develop a high-caliber analytics team, while remaining hands-on enough to prototype, model and analyse alongside them

Benefits

  • Receive a competitive reward package – reevaluated each year – that includes salary, benefits, and pre-IPO equity
  • Enjoy 28 days of paid vacation, plus an additional day after 2 and 4 years (because we love what we do, but we also love vacation!)
  • Make an impact on the environment and society with Impact Days
  • Receive generous family leave, child support, mental health support, and sabbatical opportunities with PersonioCares
  • Connect with your fellow Personios at regular company and team events like All Company Culture Week and local year-end celebrations
  • Engage in a high-impact working environment with flat hierarchies and short decision-making processes
  • Find your best way to work with our office-led, and remote-friendly PersonioFlex!

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