(Associate) Product Analyst - (Logistics, Rider) at Delivery Hero

Berlin, , Germany -

Full Time

Start Date

Immediate

Expiry Date

25 Dec, 25

Salary

0.0

Posted On

26 Sep, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

SQL, Python, Data Visualization, Big Data Tools, Data Analysis, Stakeholder Engagement, Data Engineering, Agile Methodologies, A/B Testing, Applied Statistics, Data Lakes, Data Marts, Team Collaboration, Creative Problem Solving, Independent Working, Process Orientation

Industry

technology;Information and Internet

Description

Company Description 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 (Associate) Product Analyst - (Logistics, Rider) to join the Logistics Rider Analytics Team, on our journey to always deliver amazing experiences. In our Logistics Team, you’ll tackle high-impact challenges that make last-mile delivery efficient, affordable, and sustainable. Your work will directly improve experiences for riders, end customers, and merchants across the globe. Each enhancement you contribute will help Delivery Hero optimize delivery operations, supporting expansion into new areas like grocery and retail. In the Analytics team, we curate data to uncover insights, enable self-service discovery, and drive the strategic development of Logistics functions. Being embedded in the Product Line, we foster the “data-first” mindset and drive change in product development. As a Product Analyst, you will bring insights for one or more domains, collaborate with a team of about 5-10 analysts, drive projects across various data functions, collaborate with Data Science and enable our stakeholders in Product, Tech, and Operations to make data-driven decisions. Engaging with key stakeholders to understand the business vision, requirements & priorities and helping to translate this into actionable insights Build accessible, creative and engaging data visualizations to facilitate access to insights Develop and curate unstructured data in collaboration with Data Engineering, Product and Operations Refine, challenge and support requests from stakeholders and generate new data analyses Lead data exploration projects, and help identify and define future insight and data needs to support various business initiatives Own our data catalog for all Logistics dimensions, metrics and KPIs Qualifications 2-3 years experience as a BI/Data/Product analyst working for internet companies Bachelor's degree or higher in a quantitative subject (e.g. computer science, physics, mathematics, engineering, statistics) Excellent SQL skills, with practical experience of big data tools (ideally BigQuery) Basic Python skills, with practical experience You are creative in data visualization (Tableau experience is a plus) Proven team player behavior and process-oriented mindset Independent and rigorous working style, appreciation for Agile environments Experience in dealing with stakeholders and challenging the scope of projects Nice to have: Intermediate Python skills, with practical experience Experience with version control systems (VCS) (e.g. Github) Experience with Airflow Experience with A/B testings and applied statistics Experience with using data lakes / data marts 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, 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.

Responsibilities

As a Product Analyst, you will provide insights for logistics and rider operations, collaborating with a team of analysts to drive data-driven decisions. You will engage with stakeholders to translate business needs into actionable insights and lead data exploration projects.