Company
SaaS
ProductDataAnalyst
Neural analysis suggests this role is
optimal for Senior candidates.
“Product Data Analyst. Skills: Product analytics, User behavior analysis, Experimentation, Data-backed recommendations. Act as analytics partner to product managers. Support analysis of product usage”
What You'll Achieve.
Drive product success; Influence roadmap decisions; Improve user experience; Uncover insights; Impact product growth; Impact user engagement
Industry & Context.
Analytical depth; Product intuition
What They're Looking For.
Must Have
5+ years of experience in product analytics, Experience analyzing user behavior, Deep expertise in SQL, Understanding of statistical methods, Proven experience designing, running, and interpreting A tests, Experience defining event tracking schemas, Ability to independently identify high-impact analytical opportunities, Product intuition
Nice to Have
Python experience for data analysis is a plus, Familiarity with causal inference methods is an advantage, Familiarity with experimentation platforms is an advantage, Experience working with technical or developer-focused products is a plus
What You'll Do.
Act as analytics partner to product managers
Support analysis of product usage
Support analysis of user behavior
Support analysis of feature performance
Conduct advanced product analyses
Identify key behavioral drivers
Deliver cross-product insights
Deliver segment-level insights
Co-develop hypotheses with product managers
Design analytical approaches
Validate product decisions
Influence product roadmap decisions
Provide data-backed recommendations
Ensure statistical rigor
Ensure actionable outcomes
Partner with engineering teams on event instrumentation
Partner with product teams on event instrumentation
Partner with engineering teams on tracking design
Partner with product teams on tracking design
Partner with engineering teams on data quality improvements
Partner with product teams on data quality improvements
Identify opportunities for deeper analysis
Surface insights and recommendations
Translate complex data findings
Support decision-making
Contribute to improving analytical standards
Contribute to improving methodologies
Contribute to improving experimentation practices
How You'll Work.
Team & Collaboration
Product managers; Engineering teams; Product teams; Cross-product analysis; Segment-level insights
Communication Scope
Clear narratives; Decision-ready insights
Process & Methodology
Roadmap decisions
Full Job Description
## Description This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Product Data Analyst based in Germany. This is a high-impact product analytics role embedded directly within a product team that is already highly data-literate and technically strong. You will act as the dedicated analytics partner to product managers, helping them go deeper into user behavior, activation, and adoption patterns that drive product success. The role combines rigorous analytical depth with strong product thinking, enabling you to influence roadmap decisions, improve user experience, and uncover insights that go beyond standard reporting. Working in a fast-paced, collaborative environment, you will contribute to both strategic direction and hands-on experimentation while shaping how users derive value from a leading workflow automation platform. This is an opportunity to join a highly technical, product-led organization where your insights will directly impact product growth and user engagement. ## Accountabilities Act as the dedicated analytics partner to product managers, supporting deep analysis of product usage, user behavior, and feature performance. Conduct advanced product analyses across activation, onboarding, adoption, retention, and expansion to identify key behavioral drivers. Deliver cross-product and segment-level insights that provide a broader perspective beyond individual product squads. Co-develop hypotheses with product managers and design analytical approaches to validate product decisions. Influence product roadmap decisions by providing clear, data-backed recommendations on what to build, improve, or deprioritize. Design, evaluate, and interpret A/B tests and experiments, ensuring statistical rigor and actionable outcomes. Partner with engineering and product teams on event instrumentation, tracking design, and data quality improvements. Identify opportunities for deeper analysis proactiv
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