Job Description
We are on the lookout for a Staff Product Analyst - (Logistics) to join our Analytics team and shape the future of data strategy, experimentation, and impact at Delivery Hero.
In Logistics, we build products and shape processes towards an amazing delivery experience for our customers, riders, and service. 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 Staff Product Analyst, you’ll work across multiple squads, domains, and functions within a tribe to drive end-to-end analytics excellence. You’ll partner with stakeholders in Product, Tech, and Data to build impactful solutions, mentor colleagues, and help define the strategic direction of analytics across the organization. You will not only bring deep technical and business expertise to your tribe, but also champion innovation, collaboration, and quality at scale.
This is your opportunity to join a passionate, high-impact team and influence how we use data to make decisions that shape the future of local delivery.
Your mission:
1. Own problem-solving and solution design for highly complex business and technical challenges, balancing speed and quality.
2. Align product analytics lifecycle practices with business goals – from scoping and data tracking design to data curation, analysis, visualization, and stakeholder alignment.
3. Lead experimentation strategy and execution across squads, guiding engineering and data science partners on implementation, tracking, and interpretation.
4. Define and maintain domain- and tribe-level metrics and KPIs, and ensure adoption of scalable, insightful dashboards.
5. Drive forward scalable analytics infrastructure, build technical capabilities, and set standards for data quality and insight generation.
6. Provide guidance and mentorship to other analysts, fostering a culture of knowledge-sharing and technical excellence.
Qualifications
7. 6+ years of experience as a Product Analyst, Data Analyst, Data Scientist or similar role, preferably in fast-paced tech or internet companies.
8. Proven ability to lead technically complex and high-impact projects with autonomy.
9. Expert SQL skills and practical experience with large-scale data platforms (, BigQuery).
10. Solid Python skills (for analytics and automation use cases).
11. Experience in applied statistics and designing and guiding complex A/B testing strategies
12. Proven track record in building scalable, user-centric dashboards and reporting tools (Tableau or similar).
13. Excellent communication and stakeholder management abilities; capable of translating business goals into analytics roadmaps.
14. Deep understanding of product development and business strategy, with experience aligning analytics to strategic outcomes.
15. Demonstrated mentorship and leadership capabilities within data/analytics functions.
16. Self-directed, highly versatile, and solution-oriented mindset.
Nice to have:
17. Experience with Airflow or similar orchestration tools.
18. Familiarity with Git and version control for analytics workflows.
19. Experience contributing to analytics infrastructure and self-service tooling.
20. Thought leadership in the field of analytics (, talks, papers, forums).