Product Analyst - Consumer Product

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 a Product Analyst to join our Consumer product tribe on our journey to always deliver amazing experiences.

At Delivery Hero, you’ll shape the global consumer experience for millions of users. Your work will have a direct impact on how we attract and retain customers, creating data-driven, personalized interactions that keep them coming back. As part of our Consumer Team, you’ll enhance customer satisfaction and drive global growth and profitability through innovative projects.

The Consumer Product Analytics Team drives product strategy and innovation by leveraging data to provide actionable insights on customers and products, contributing to business success. Our diverse team of data professionals is based in Singapore and Berlin, working closely with product managers, engineers, and business stakeholders to directly influence product direction. We collaborate with a larger data team, including data engineers, data scientists, and ML engineers, to share knowledge and expertise. This particular role is based in Berlin. 

At Consumer Product Analytics, you will have the opportunity to access high volume, rich user behavior data, engage in end to end product development cycles, work on complex product problems, and learn from many experienced data professionals.

The main responsibilities of the Product Analytics Team include:

• Experimentation : Design, implement, and analyze A/B tests with a strong emphasis on statistical methods for robust hypothesis validation and accurate impact measurement. A deep understanding of statistical techniques is required for all our experiment analyses.

• Product OKRs & Metrics: Define what 'good' looks like by setting up a product metric framework and quarterly OKRs.

• Tracking & QA: Own the tracking definition and work with various delivery hero brands to improve the reliability of user behaviour tracking for our discovery tools

• ETL & Reporting: Building data pipelines and self-service dashboards.

• Exploratory Analysis: Drawing insights from data to drive product strategy & roadmap.

• Contribute to the growth and development of fellow product analysts through knowledge shares, workflow optimisations, hiring, onboarding of talent etc.

Qualifications

• 5+ years experience in the analytics space in rapidly growing and dynamic environments, ideally with a broad mission scope or several stakeholders

• Strong experience in leveraging  SQL  for analytics (BigQuery experience is a plus)

• Proficient with at least one data visualization tool, including but not limited to looker studio (data studio), Tableau, Qlikview, power BI, matplotlib etc.

• Experience working with large scale user data (transactional, click stream etc.)

• Background in statistics, knowledge about statistical test design and analysis preferably hands on experience in designing and running  A/B  tests at scale

• Experience with customer behavior tracking platforms (e.g. Google Analytics, Adobe, Webtrekk,  MixPanel , SnowPlow, Piwik, Tealium, Segment etc.)

• Experience of working with multiple stakeholders, ability to clearly communicate analytical findings to them and successfully driving mid scale analytics projects end to end (e.g. establishing a performance metric for a squad - exploring, aligning on metric definition, creating data pipelines and dashboard visualization to allow self serve).

Nice to have:

• Experience with data pipelining tool such as airflow, DBT 

• Experience or knowledge of machine learning, recommender system, ranking algorithm.

• Experience working in a rapidly growing and dynamic product development team

Additional Information

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, Yoga, 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.