Senior Product Analyst - Quick Commerce (Fixed-term)

Delivery Hero; Berlin; Hybrid; EUR 90,000 - 130,000; Full time

Benefits offered by this job

Educational Budget

Language Courses

Parental Support

Udemy Business access

Health Checkups

Gym

Employee Share Purchase Plan

Public Transportation Discount

Pension Plan

Meals / vouchers

Job summary

Delivery Hero in Berlin is seeking a Senior Product Analyst for Quick Commerce on a fixed-term contract. You will translate product and operational data into actionable insights, partnering with product managers, engineers, and data scientists to define hypotheses, KPIs, and success criteria.

You will own the full analytics lifecycle from tracking to experiments, help shape product roadmaps, and build dashboards that communicate impact to leadership.

Qualifications

• 5+ years of experience in Product Analytics or Data Analytics in a fast-paced environment.
• Strong SQL, data visualization, and A/B testing proficiency with robust stakeholder collaboration.
• Experience with event tracking and instrumentation tools and statistical design.

Responsibilities

• Define hypotheses, KPIs, and success criteria with PMs and cross-functional teams.
• Analyze product and operational metrics to identify trends and opportunities.
• Develop tracking instrumentation and perform data discovery on usage patterns.
• Design experiments (A/B tests) to evaluate features and pricing strategies.
• Create dashboards and BI solutions for leadership and stakeholders.
• Document analytical frameworks and ensure continuity with the permanent analyst.

Skills

SQL

Data analysis

A/B testing

Statistical concepts

Stakeholder management

Cross-functional teamwork

AI tool literacy

Education

Bachelor's or Master's in a quantitative field

Tools

BigQuery

Tableau

Google Data Studio

Optimizely

Adobe Target

Google Analytics

Adobe Analytics

Mixpanel

Job description

Senior Product Analyst - Quick Commerce (Fixed-term)

• Contract

As the world’s pioneering local delivery platform, our mission is to deliver an amazing experience, fast, easy, and to your door. We operate in around 65 countries worldwide, powered by tech, designed by people. As one of Europe’s largest tech platforms, headquartered in Berlin, Germany, Delivery Hero has been listed on the Frankfurt Stock Exchange since 2017 and is part of the MDAX stock market index. We push hard, learn quickly and stay human along the way. It’s this wonderful mix of high performance and real community that makes Delivery Hero a place where ambition and belonging grow side by side. If you’re curious, collaborative and ready to dive deep into meaningful work, you’ll fit right in.

Job Ref ID:JR0087496We 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. You'll 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. You'll help build technology that scales our non-food offerings, reaching new market segments and driving revenue growth. By innovating within our Quick Commerce Team, you'll 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.

You’ll 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. You'll 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.

You'll 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.

You'll 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

• 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
• Bachelor's or Master's degree in a quantitative field (Statistics, Mathematics, Economics, Computer Science, or related field)

Ensuring you and all our Heroes are looked after, happy, and healthy is always on the menu. Because if you’re in good shape, then we’re in good shape.

Make the most of our hybrid working model and join the team for face-to-face connection and collaboration in our beautiful Berlin campus 2 days a week

We offer 27 days holiday with an extra day on 2nd and 3rd year of service

We will support you in developing yourself and your career growth opportunities: 1.000 € Educational Budget, Language Courses, Parental Support and access to the Udemy Business platform to explore a variety of online courses.

Get moving and release those wonderful, mind-boosting endorphins: Health Checkups, Meditation & Gym.

Cash. Dough. Cheddar. Whatever you call it, we’ll help you with it: Employee Share Purchase Plan, Sabbatical Bank, Public Transportation Ticket Discount, Life & Accident Insurance, Corporate Pension Plan

The power of getting together over some food is unrivaled. Here are a few ways to help you do that. All the yum: Digital Meal Vouchers and Food Vouchers.

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

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 experience—just let us know with an email to our Inclusion Officer at [e-mail] .

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

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