Data Analyst (Quick Commerce & Partnerships)

foodpanda, part of the Delivery Hero Group, is a leading local delivery platform operating in over 65 countries worldwide. Headquartered in Berlin, Germany, Delivery Hero has been listed on the Frankfurt Stock Exchange since 2017 and is included in the MDAX stock market index. As a Data Analyst within the Quick Commerce & Partnerships Analytics team, you will play a crucial role in driving data-driven decisions and delivering incremental value across 16 markets. This position offers the opportunity to work on high-impact projects, develop technical skills, and collaborate with experienced data professionals using cutting-edge AI tools and analytical techniques.

Key Responsibilities
- Conduct deep-dive analyses to support quick commerce initiatives such as dark store expansion, assortment changes, delivery fee adjustments, and discounting. Use a variety of analytical methods including data modeling and descriptive, predictive, and prescriptive analytics to measure incremental impact and optimize customer conversion funnels, costs, and margins.
- Develop and refine measurement frameworks and metric definitions for key quick commerce initiatives, including shops, dark store performance, and fulfillment/delivery metrics. Build SQL models and transform large datasets into actionable insights using tools like BigQuery, Excel, and dbt.
- Create strategic reports and visualizations through dashboards (Looker, Tableau) and agentic solutions such as root-cause analysis agents for delivery delays or stockouts. These assets will support decision-making for business operators and leadership.
- Collaborate closely with quick commerce, operations, and supply chain teams to understand strategic goals, recommend analytics solutions, and effectively communicate insights. Work alongside senior analysts and team leads to enhance skills in data modeling, visualization, and storytelling.
- Ensure data quality by monitoring metrics and participating in quality assurance processes to maintain consistency across all reports.
- Explore and implement AI-driven analytics and automation tools, including agentic workflows, automated anomaly detection, LLM-assisted insight generation, and prompt-engineered pipelines. Help scale repeatable analyst workflows into AI-powered solutions and share knowledge within the team.

Required Qualifications
- Bachelor’s degree in Statistics, Mathematics, Economics, Computer Science, or a related field.
- 2 to 4 years of experience in data analytics, preferably supporting Quick Commerce, Operations, Supply Chain, or Commercial teams in online or offline retail environments.
- Proficiency in SQL with at least 2 years of hands-on experience and familiarity with one or more data visualization tools such as Looker or Tableau. Experience with dbt is a plus.
- Strong communication skills with the ability to clearly present findings to stakeholders at various levels.
- A collaborative mindset with eagerness to learn and take on new challenges.
- A solid foundation in statistical analysis and data modeling is advantageous.
- Interest in AI applications within analytics is a plus.

Preferred Qualifications and Benefits
- Opportunity to work in a dynamic, fast-growing global company with responsibility from day one.
- Exposure to a vibrant, international team committed to diversity and inclusion.
- A supportive work environment focused on personal and professional development.
- Regular company and team events that foster a positive workplace culture.
- Be part of a pioneering organization in quick commerce, delivering groceries and household goods within 20 to 30 minutes in multiple markets.

Delivery Hero Group operates in over 70 markets across Asia, Europe, Latin America, the Middle East, and Africa, employing more than 40,000 people globally. The group is a leader in both food delivery and quick commerce, continuously innovating to enhance customer experiences. In July 2024, Delivery Hero SE merged three of its market-leading businesses—foodora, Yemeksepeti, and foodpanda—forming the second-largest entity within the group and strengthening its position in 16 markets across Europe and Asia.