Staff Product Analyst - (Quick Commerce)

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 over 70+ 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 enable creative minds to deliver solutions that create impact within our ecosystem. We move fast, take action and adapt. No matter where you're from or what you believe in, we build, we deliver, we lead. We are Delivery Hero.

Job Description

We are on the lookout for Staff Product Analyst to join our Growth product line within Quick Commerce on our journey to always deliver amazing experiences.

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.

This is a department focused on topics such as grocery content, item navigation, assortment optimization, affordability and more.

You will play a pivotal role in shaping the overall product analytics strategy, redefining how we leverage data to optimize our quick commerce offerings, and directly impacting our ability to scale and grow our DMarts and Local Shops segments. By providing data-driven insights within our function-oriented Growth Analytics Team, and collaborating with Data Engineering and Data Science teams, you will help empower product decisions and ensure our initiatives deliver tangible business value.

You will partner closely with product managers, software engineers and data scientists, driving operational excellence and strategic insights across multiple teams in the QC Growth organization. The focus lies on experimentation, metrics monitoring, deep dive analysis, and fostering a data-driven culture.

Your expertise, leadership and insights will directly shape product roadmaps, optimize features, and assess impact. You will directly lead and help others to lead multiple key initiatives, in which the team will define KPIs, design experiments, and communicate findings to stakeholders at all levels. You will help us ensure product initiatives deliver measurable business value, transitioning from a reporting mindset to a problem-solving approach, and driving innovation in analytical methodologies and tools.

Key Responsibilities

• Collaborate with and guide product managers and cross-functional tech teams to define hypotheses, KPIs, and success criteria for various initiatives.
• Mentor and guide data contributors (data analysts, data scientists, data engineers) from multiple cross-functional teams.
• Conduct in-depth analyses of product usage, adoption, and impact metrics to identify trends and opportunities.
• Own end-to-end analytics support for product and tech initiatives.
• Design and execute experiments (A/B, quasi-experiments) and influence the overall experimentation strategy to optimize product features and user experiences.
• Establish effective causal inference strategies to evaluate interrelations and identify growth drivers, and championing their adoption across the organization.
• Coordinate and support the implementation of tracking strategies and ensure data integrity.
• Generate business intelligence solutions and compelling visualizations to communicate key insights.

Qualifications

• Proven 7+ years of experience in Product Analytics or Data Analytics, ideally within a fast-paced product-driven environment.
• Excellent stakeholder management, communication and collaboration skills.
• Leadership and mentorship skills to guide business, product and tech stakeholders and contributors.
• Strong technical expertise (e.g. SQL, dbt, Airflow, Python, Tableau, Looker), experience with A/B testing platforms (e.g. eppo, Optimizely, Adobe Target) and a solid understanding of statistical concepts, experimental design, A/B testing methodologies and quasi experimentation.
• Experience with event tracking and instrumentation tools, e.g. Google Analytics, Adobe Analytics or Amplitude.
• Strategic thinking and the ability to translate complex data into actionable insights and communicate effectively.

Nice to have

• Bachelor’s or Master’s degree in a quantitative field (e.g., Statistics, Mathematics, Economics, Computer Science, or related field).
• Demonstrated experience collaborating with and guiding data science teams.
• Experience in building or contributing to data pipelines with knowledge of data modeling.
• Ideally some experience in eCommerce or Quick commerce.

Additional Information

• 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 & Bicycle Subsidy.
• 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, Food Vouchers, Corporate Discounts, Courses.

Ready to join our team? If you’re excited to grow, collaborate and be part of the world’s leading delivery platform, we’d 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 experience—just include it in your application. You're welcome to share your pronouns (he/she/they) right from the start so we can address you respectfully from our first contact.

#J-18808-Ljbffr