(Senior) Product Analyst, Real Estate & Motors (d/f/m) · 1-year fixed-term contract

Description

Kleinanzeigen is the leading online classifieds market in Germany. Users buy and sell on Germany's No. 1 for classifieds mainly second-hand. In this way they make an active contribution to more sustainability. On average, more than 55 million ads are available in numerous categories – from children's supplies to electronics and real estate. Kleinanzeigen also offers small and medium-sized businesses the opportunity to present their services online. Around 35 million users per month make Kleinanzeigen one of the most widely used websites in Germany. Kleinanzeigen was launched in September 2009 as eBay Kleinanzeigen. Since June 2021, the company has been part of Adevinta, a global provider of online classified ads. In May 2023, the name was changed to Kleinanzeigen.

The Job:

As a (Senior) Product Analyst in the Real Estate & Motors Analytics team, you are the data expert for product decisions across the RE and Motors domains. You ensure tracking is right, experiments are sound, and stakeholders have the data foundations they need to act independently. Working closely with Product Managers, Software Engineers, Data Engineers, and Business peers, you combine deep analytical expertise with a builder mindset — automating what can be automated, enabling what can be self-served, and owning the complex cases that need expert judgment.

This is a limited 1-year contract position. The role is hybrid and our office is in Berlin. You report to the Analytics Lead, Real Estate & Motors.

Requirements

Who You Are

• You bring strong SQL skills and hands-on product analytics experience including tracking ownership, experimentation, and performance KPI analysis.
• You bring practical experience with AI tools in analytical workflows and know when to automate vs. when to go deep. Agentic AI is your daily companion and you come with a proven track record of utilizing AI tooling to get annoying and valuable tasks done (big plus: Claude).
• You have personally defined tracking specs, coordinated their implementation across PM/SWE/DE, and verified them in production — not just configured existing tools.
• You've designed and evaluated A/B tests independently, not just read results. You understand statistical power, guardrail metrics, and when not to trust a result.
• You demonstrate an ownership mindset, strong prioritization, and clear communication with both technical and non-technical stakeholders.
• You are comfortable building data products for self-service — semantic layers, metrics definitions, reusable templates.
• Nice to have: advanced experimentation methods (CUPED, sequential testing, Bayesian approaches), exposure to Python, dbt, or modern analytics engineering tooling; experience in classifieds or marketplace platforms.