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Senior Product Analyst Quick Commerce (Fixed-term)

Delivery Hero


Job Location:

Berlin - Germany

Monthly Salary: Not provided by the employer
Posted: 28 October 2026 (20 hours ago)
Application Deadline: 25 January 2027
Vacancies: 1 Vacancy

Job Summary

Job Ref ID: JR0087496

We are on the lookout for a Senior Product Analyst Quick Commerce - (Fixed Term) to join the Local Shops team on our journey to always deliver amazing experiences. Youll drive data-informed decision-making across Local Shops directly shaping how we scale and optimize our quick commerce offering.

Be part of redefining how customers experience quick commerce. Youll help build technology that scales our non-food offerings reaching new market segments and driving revenue growth. By innovating within our Quick Commerce Team youll make Delivery Hero the go-to platform for a broad range of products helping us grow faster and deliver more value to customers around the world.

Youll turn complex product and operational data into actionable insights working with product managers engineers and business teams to shape strategy optimize features and make sure initiatives deliver measurable business value. Your focus will be the onboarding and integration domain which directly affects the vendor onboarding and integration experience and drives business growth. This is a high-impact role for a senior analyst who wants real analytical ownership. Youll work with state-of-the-art in-house tooling that processes billions of orders and own key initiatives end to end with full autonomy.

 

In This Role

You Will Partner closely with Local Shops product managers engineers and data scientists to define hypotheses KPIs and success criteria for product and operational initiatives.

Youll own the full analytics lifecycle: defining tracking instrumentation running data discovery on product usage and operational metrics designing experiments assessing impacts and building dashboards.

Your insights will shape product roadmaps and feature prioritization directly impacting our ability to scale Local Shops.

Youll translate complex data into clear compelling narratives for stakeholders at all levels.

Key Responsibilities

  • Collaborate with product managers and cross-functional teams to define hypotheses success metrics and strategic initiatives for Local Shops product line 
  • Conduct in-depth analyses of operational and product performance metrics to identify trends inefficiencies and growth opportunities
  • Support the implementation of tracking and instrumentation strategies; ensure data integrity and completeness
  • Design and execute experiments (A/B tests quasi-experiments) to evaluate product features pricing strategies and operational changes
  • Establish causal inference approaches to understand what drives key metrics and business outcomes
  • Generate business intelligence solutions and dashboards to communicate insights clearly to PMs leadership and cross-functional stakeholders
  • Document analytical frameworks KPIs and insights to ensure smooth continuity with the permanent analyst before contract end

Qualifications :

  • 5 years of experience in Product Analytics or Data Analytics ideally in a fast-paced product-driven environment
  • Strong technical expertise in analytics stack: advanced SQL (BigQuery preferred) data visualization tools (Tableau Google Data Studio) and A/B testing platforms (Optimizely Adobe Target)
  • Experience with event tracking and instrumentation tools (Google Analytics Adobe Analytics Mixpanel or similar)
  • Understanding of statistical concepts experimental design and A/B testing methodologies
  • Excellent stakeholder management and collaboration skills experienced working cross-functionally with product engineering data science and business teams
  • AI tool literacy comfortable using AI tools (Claude Gemini) for analysis and documentation

Nice to Have

  • Data manipulation in Python or R Experience with data scheduling and orchestration tools (Airflow GitHub dbt)
  • Familiarity with big data infrastructure data pipelines and ETL Experience with causal inference or quasi-experimental methods
  • Quick commerce e-commerce or grocery delivery domain knowledge
  • Bachelors or Masters degree in a quantitative field (Statistics Mathematics Economics Computer Science or related field)

Additional Information :

Ensuring you and all our Heroes are looked after happy and healthy is always on the menu. Because if youre in good shape then were in good shape.

Heads up: exact benefits may look a little different for intern working student fixed-term and part-time roles.

Ready to join our team If youre excited to grow collaborate and be part of the worlds leading delivery platform wed love to hear from you. Apply today!

We believe diversity and inclusion are key to creating not only an exciting product but also an amazing customer and employee experience. Fostering this starts with hiring - therefore we do not discriminate on the basis of racial identities religious beliefs color national origin gender identities or expressions sexual orientations age marital or disability statuses or any other aspect that makes you you.

We encourage you to let us know if you need any accommodations or specific accessibility support to ensure a smooth interview experiencejust let us know with an email to our Inclusion Officer at .

Youre welcome to share your pronouns (he/she/they) right from the start so we can address you respectfully from our first contact.


Remote Work :

No


Employment Type :

Contract


About Company

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As the world’s leading local delivery platform, our mission is to deliver an amazing experience, fast, easy, and to your door. We operate in over 70+ countries worldwide, powered by tech but driven by people. As one of Europe’s largest tech platforms, we enable ambitious talent to del ... View more

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