Senior Product Analyst - Network Planning (Logistics) - (all genders)
Role details
Job location
Tech stack
Job description
As a Senior Product Analyst, you will join a cross-functional team of analysts, engineers, and a product/program manager working together to improve Zalando's logistics network, while maintaining a collaborative, supportive, and respectful working environment.
The team builds and governs forecasting and planning solutions that impact operational performance, cost efficiency, and customer experience throughout Zalando Logistics Network., * Own model governance, accuracy tracking, monitoring, and performance evaluation of forecasting and network planning models
- Develop deep expertise in end-to-end Logistics Network Planning products, data flows, and analytical workflows
- Independently operate, troubleshoot, validate, and adjust Python-based models and pipelines in close collaboration with engineering teams
- Translate complex business needs into clear analytical requirements and structured problem statements
- Proactively manage model, data, and assumption changes (new market or warehouse integrations, etc.) - ensuring transparency and stakeholder alignment
- Pull and transform data from multiple sources using SQL and Python
- Partner closely with operations, engineering, warehouses, and transport teams, and all relevant teams to ensure models reflect operational reality
- Serve as the go-to analytical contact for new features, enhancements, and model-related decisions
- Leverage AI tools (e.g. Copilot, Claude, etc.) to increase analytical productivity and accelerate issue resolution
Requirements
You bring strong experience in Data & Analytics with clear end-to-end ownership
- You possess advanced SQL skills (complex joins, aggregations, optimization) and Python exposure
- You have experience with forecasting and/or optimization models, backed by solid statistical thinking.
- You can translate business needs into actionable analytical solutions
- You collaborate effectively across stakeholders
- You clearly communicate model assumptions, performance, and trade-offs
- You have hands-on experience with AI tools (e.g. Copilot, Claude, etc.)
- You have experience with modern data platforms (e.g., Databricks) and familiarity with local development environments such as VS Code is a nice to have but not a must
- Experience in the logistics or supply chain domains would be beneficial
Benefits & conditions
Zalando provides a range of benefits, here's an overview of what you can expect. Ask your Talent Acquisition Partner to learn more about what we offer.
- 27 days of holiday a year to start for full-time employees
- 2 paid volunteering days a year
- Hybrid working model with up to 60% remote per week, actual practice is up to each team to best support their collaboration
- Work from abroad for up to 30 working days a year
- Employee shares program
- 40% off fashion and beauty products sold and shipped by Zalando, 30% off Lounge by Zalando, discounts from external partners
- Relocation assistance available (subject to prior agreement)
- Family services, including counseling and support
- Health and wellbeing options (including Wellhub, formerly Gympass)
- Mental health support and coaching available
- Drive your development through our training platform and biannual peer-to-peer review