Job Description
We are on the lookout for a Senior Product Analyst to join our Data Analytics team 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.
You will partner closely with Product Managers, driving operational excellence and strategic insights across Fulfillment Operations, Supply Chain and Demand Planning. Focusing on metrics monitoring, deep dive analysis, experimentation, and fostering a data-driven culture. Your insights will directly shape product roadmaps, optimize features, and assess impact. You will define KPIs, design experiments, and communicate findings to senior stakeholders. You'll help us ensure product initiatives deliver measurable business value, transitioning from a reporting mindset to a problem-solving approach. Your work will directly impact our ability to scale and grow our non-food offerings.
Key Responsibilities:
1. Collaborate with Product Managers and cross-functional teams to define hypotheses, KPIs, and success criteria
2. Conduct in-depth analyses of product usage, adoption, and impact metrics to identify trends and opportunities
3. Design and execute experiments(A/B, Quasi-experiment) to optimize product features and user experience
4. Establish effective causal inference strategies to evaluate interrelations and identify growth drivers
5. Support the implementation of tracking strategies and ensure data integrity
6. Generate business intelligence solutions and compelling visualizations to communicate key insights
Qualifications
7. Proven 3-5 years experience in Product Analytics or Data Analytics, ideally within a fast-paced product-driven environment
8. Excellent stakeholder management, communication and collaboration skills
9. Strong technical expertise in analytics stack including SQL, dbt, Airflow, and Python, with proficiency in visualization tools (Tableau, Looker Studio) and experience with A/B testing platforms (Optimizely, Adobe Target)
10. Solid understanding of statistical concepts, experimental design, A/B testing methodologies and Quasi Experimentation
11. Experience with event tracking and instrumentation tools
12. Ability to work autonomously and navigate through uncertainty