Senior Product Analyst - Quick Commerce (Fixed-term)

Job description

Deep analysis. Smarter systems. Real users. As a Senior Product Analyst , you'll own the analytics for v endor onboarding and integration in Local Shops , the part of our product that decides how quickly vendors get on our platform and start selling. You'll turn product and operational data into decisions that shape the roadmap, and you'll lead initiatives end to end with full autonomy. The Local Shops team builds technology that scales our non-food offering within Quick Commerce, opening up new market segments and driving revenue growth.

You'll join the onboarding and integration domain, which shapes how vendors get onto our platform and how smoothly they integrate. You'll work with in-house tooling that processes billions of orders. 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.

• Define hypotheses, KPIs and success criteria with Local Shops product managers, engineers and data scientists
• Analyse product and operational data to find trends, inefficiencies and growth opportunities
• Define tracking and instrumentation, and make sure the data is accurate and complete
• Design and run experiments (A/B tests, quasi-experiments) and apply causal inference to understand what drives key metrics
• Build dashboards and BI solutions, and turn your findings into clear stories for product managers, leadership and cross-functional stakeholders
• Document analytical frameworks, KPIs and insights so the permanent analyst can take over smoothly before the contract ends

Qualifications

5+ years of experience in Product Analytics or Data Analytics, ideally in a fast-paced, product-driven environment Advanced SQL (BigQuery preferred) and data visualisation tools such as Tableau or Google Data Studio Experience with A/B testing platforms (Optimizely, Adobe Target) and a solid understanding of statistics and experimental design Experience with event tracking and instrumentation tools (Google

Analytics, Adobe Analytics, Mixpanel or similar) Strong stakeholder management, with experience working across product, engineering, data science and business teams Comfortable using AI tools (Claude, Gemini) for analysis and documentation Nice to have Data manipulation in Python or R Experience with data orchestration and pipeline tools (Airflow, GitHub, dbt) and ETL Experience with causal inference or quasi-experimental methods Quick commerce, e-commerce or grocery delivery domain knowledge