Senior Product Analyst (m/f/d)

Company shown to members 🔒 · Remote · Germany only

Germany only5+ years requiredPublished 5 November 2026Looks fresh

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First recorded by Psst: 6 November 2026. Your first 3 jobs are free to apply to (the first right away, 2 more with your email). After that, the company and the apply link are for Psst members, from $4.99 for 7 days.

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The 20-second read

Experience
5+ years required
Where you can live
Germany only
Languages
English, German
Skills and tools
excel, microsoft office, sql, python, tableau, power bi
Job type
Full-time

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Job details

Where you can work
Germany
Employment type
Full-time
Advertised pay
Not stated by the employer
Experience
5+ years required
Employer publication date
5 November 2026
First recorded by Psst
6 November 2026
Last checked at the source
10 November 2026

About the job

About Your Tasks

  • Own Product Analytics across Retail Media and Marketplace, acting as the central Analytics partner for Product Managers and key business stakeholders.
  • Drive data-informed Product decisions, translating complex datasets into actionable insights, recommendations and measurable business outcomes.
  • Establish and improve Product tracking, defining meaningful KPIs, event tracking requirements and measurement approaches to understand Product performance and customer behaviour.
  • Introduce and develop experimentation practices, including A/B testing, hypothesis development, experiment design, evaluation and interpretation of results.
  • Identify opportunities for Product optimisation, using quantitative analysis to challenge assumptions, uncover customer behaviour patterns and support roadmap prioritisation.
  • Conduct deep-dive analyses to answer complex Product and business questions, communicating findings clearly to both technical and non-technical stakeholders.
  • Build and maintain dashboards and reporting solutions, enabling teams to monitor Product performance and make informed decisions.
  • Collaborate cross-functionally with Product, Engineering, Data and commercial teams to ensure Analytics is embedded throughout Product discovery, development and optimisation.
  • Support the development of consistent experimentation and tracking standards, contributing to a longer-term vision of more unified Product Analytics practices across the company.
  • Explore and apply AI-powered tools to improve analytical workflows, accelerate insights and enhance the way Product teams work with data.

About You

  • You bring 5+ years of experience in Analytics, including at least 2–3 years specifically within Product Analytics, ideally supporting digital Products or platforms.
  • You have strong hands-on SQL skills, with the ability to independently query data, understand complex query logic, identify issues and develop analytical models.
  • You have practical experience with Product experimentation and A/B testing, including defining hypotheses, designing experiments and interpreting results.
  • You understand Product tracking and measurement, including event tracking, KPI frameworks and behavioural Analytics.
  • You have experience with at least one Data visualisation tool, such as Power BI, Tableau, Looker or a comparable platform.
  • You are comfortable using Excel and Microsoft Office alongside modern Analytics tools.
  • You demonstrate excellent critical thinking and numerical reasoning, confidently questioning assumptions, estimating outcomes and approaching problems in a structured way.
  • You have experience working closely with Product Managers and cross-functional stakeholders, translating analytical findings into clear recommendations that influence Product decisions.
  • You are AI-literate and curious, actively exploring how AI can support analytical work while maintaining a critical approach to data quality and accuracy.
  • You thrive in an agile, collaborative environment, taking ownership of your work and adapting to changing business priorities.
  • You communicate complex analytical concepts clearly and are comfortable working independently across multiple Product domains.
  • You are fluent in English; German language skills are beneficial but not required.

Nice to Have

  • Previous experience in e-commerce, digital marketplaces or Retail Media.
  • Experience analysing customer journeys, conversion funnels, engagement or monetisation.
  • Working knowledge of Python for analytical tasks.
  • Experience contributing to experimentation frameworks or improving Product Analytics practices across teams.
  • Exposure to high-growth digital businesses or evolving Product organisations.

Why Join Us?

Shape two growing business domains

You'll support Retail Media and Marketplace at an important stage of their development, helping establish the analytical foundations that will guide future Product decisions.

Make a visible impact

Your insights won't simply sit in dashboards. You'll work directly with Product stakeholders to influence priorities, challenge assumptions and identify opportunities for measurable improvement.

Build and improve how we experiment

You'll play an important role in introducing Product tracking and experimentation practices, contributing to a more consistent, data-driven Product culture.

About your Benefits

In order to provide our employees with the best possible support for their individual needs, we offer a wide range of benefits:

  • Work from Home:  If your job does not require you to be present in the office, we can arrange the place you work from individually - even for up to 20 days a year anywhere in the EU.
  • the company events:  We promote teambuilding through creative team events, and celebrate our successes together at regularly scheduled parties.
  • Kindergarten Grant:  We offer our employees who pay for childcare in kindergarten 100,00 € (total) per month.
  • Mental health:  Get quick professional help from psychologists from nilo if you feel overwhelmed in your personal or professional life. Anonymously and free of charge.
  • Personal Development:  We are all constantly learning. That's why we support and foster your career development through internal & external training and help you grow.
  • Mobility:  Your commute matters to us. We provide our employees with a fully costed Deutschland Ticket which can be used at any time.
  • Sports & Health:  Your well-being is our top priority. Therefore, we offer you a range of opportunities to improve your health. Profit from a membership (M) package at Urban Sports Club, providing a variety of sports offers tailored to your interests.

While this is a remote position based in Germany, it may require occasional on-site collaboration at our offices in Berlin or Cologne, depending on business and team requirements.

About the company

As Europe’s No.1 e-pharmacy the company is powered by passionate teams and cutting-edge innovation. We strive to create a healthy collaborative work environment where every employee feels valued and inspired to contribute to our vision  “Until every human has their health” . If you’re seeking a career that offers purpose and aligns with your values join us and start your #Redcareer today.

About the Role

Are you passionate about using data to shape Product decisions, challenge assumptions and drive measurable business impact?

At the company, we're looking for a Senior Product Analyst to join our growing Product Analytics team, supporting two of our key business domains: Retail Media and Marketplace.

As one of Europe's leading online pharmacies, we're continuously investing in our digital platforms, Product capabilities and data-driven decision-making.

Both Retail Media and Marketplace are important areas of growth, offering an exciting opportunity to help shape how we measure Product performance, understand customer behaviour and identify opportunities for improvement.

You'll work closely with Product Managers and business stakeholders, taking ownership of Product Analytics across both domains. A key part of your role will be introducing and strengthening experimentation and Product tracking practices, helping teams make better decisions based on reliable data and meaningful insights.

This is an opportunity to join a small, collaborative team where you'll have significant ownership, visibility and the freedom to challenge existing ways of working.

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