About the role

AI Analyst contributing to cross-functional product teams at Personio, leveraging data insights and analytics for decision-making. Responsible for event tracking, impact measurement, and user behavior analysis.

Responsibilities

Own the implementation and maintenance of event-based tracking for product features, ensuring clean, reliable behavioral data flows into our analytics systems.
Execute rigorous impact measurement for shipped features — develop testing plans, run experiments, and report outcomes with statistical confidence.
Analyze user behavior through funnels, retention analyses, and segmentation to surface actionable insights that inform squad priorities and backlog decisions.
Create clear, engaging dashboards and lightweight data applications that make product performance visible and self-serve for product, design, and engineering teams.
Help build and maintain the product data and business context — metric definitions, semantic documentation, and data models — that make our AI-powered analytics trustworthy and consistent.
Use LLMs and AI-assisted workflows to accelerate analysis, automate recurring insight deliverables, and explore new ways to surface signals from product data.
Work closely with Analytics Engineers and Data Scientists to build scalable data models, and with product stakeholders to translate findings into clear, decision-ready narratives.

3+ years of experience in a data analytics role, with meaningful hands-on experience supporting product teams in a B2B or B2C product-led company.
Excellent SQL skills, with experience using dbt for data modeling or a strong willingness to develop it quickly.
Proficient in BI and data app tooling, with the ability to build clear, well-structured dashboards and reports in tools such as Looker, Hex, or similar modern platforms.
Strong foundation in product analytics — comfortable building and interpreting funnels, retention analyses, metric trees, and customer segmentation.
Hands-on experience with event-based tracking for web or mobile products, and practical experience with a behavioral analytics tool such as Amplitude, Heap, or Mixpanel.
Demonstrated experience using AI and LLMs in analytical work — whether through prompt engineering, AI-assisted insight generation, or building LLM-powered workflows.
Foundational statistical and programming skills in Python or R, including familiarity with common statistical tests and basic modeling.
Clear communicator: able to translate complex analytical findings into concise, decision-ready narratives for product, design, and engineering stakeholders.

Receive a competitive compensation package – reviewed annually – that includes salary, benefits, and pre-IPO equity.
Enjoy 28 days of paid vacation, plus an additional day after 2 and 4 years.
Make an impact on the environment and society with 1 Impact Day per year.
Receive generous family leave, child support, mental health support, and sabbatical opportunities.
We follow an office-led, remote-friendly approach, including opportunities to work from home and from international locations. Many teams have designated office days to enhance collaboration and foster community.
We enjoy gathering for meals, cultural initiatives, and events like local Summer Sessions and year-end celebrations. There are also healthy snacks, drinks, and a weekly catered lunch.