Company

SaaS

ProductDataAnalyst

€70–105k ~AI est. Germany FULL TIME Remote Friendly
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Senior candidates.

The Brief

“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.

SaaS
Problems you'll solve

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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