Delivery Hero
From Delivery Hero's careers page
Status: listed on the employer's own careers page when we last checked (daily). Confirm on their site before applying.
Hungerstation is part of the Delivery Hero Group, the world’s pioneering local delivery platform, our mission is to deliver an amazing experience—fast, easy, and to your door. We operate in around 65 countries worldwide. Headquartered in Berlin, Germany. Delivery Hero has been listed on the Frankfurt Stock Exchange since 2017 and is part of the MDAX stock market index.
BI, Data Visualization & AI-based Automations
Design, build, and maintain scalable dashboards and automated reporting pipelines covering fleet performance, delivery speed, order stacking, cost per delivery, and rider utilization
Own the end-to-end data lifecycle: from raw data extraction (SQL, BigQuery) through to business-ready visualizations (Tableau, Looker, Data Studio)
Automate recurring logistics reports to reduce manual data pulling and free leadership time for decision-making
Develop predictive models and forecasting tools for demand planning, supply crunch detection, and staffing efficiency
Translate complex, large-scale datasets into clear, actionable recommendations for logistics and operations stakeholders
Logistics Optimization and Utilization
Reduce delivery time across all stages: from order dispatch through to delivery, by identifying bottlenecks across the multiple DT sub-metrics
Collaborate with dispatching and algorithm teams to enhance order assignment logic and improve on-time delivery rates
Monitor and improve order stacking efficiency without compromising delivery SLAs
Track NPS and customer experience metrics tied to logistics performance, identifying drivers of dissatisfaction
Own analysis of logistics failures across vendor operations, rider operations, and customer touchpoints; recommend and execute fixes
Collaborate with workforce planning to optimise shift models, staffing levels, and on-demand-to-shift model transitions
Identify demand patterns and partner with growth and marketing teams to improve forecasting accuracy
Support rider hiring, onboarding, and payment process analysis to reduce attrition and improve supply reliability
Product Operations – Local & Global Rollouts
Act as the logistics liaison between local business stakeholders, local operations teams, and global product teams
Gather operational pain points, feature requests, and platform feedback; translate these into structured business cases for product prioritisation
Lead go-to-market (GTM) execution for new logistics initiatives: coordinating timelines, stakeholders, training materials, and deployment playbooks.
Support rollout and adoption of tools, ensuring operational readiness and post-launch performance tracking
Track rollout KPIs, adoption rates, and feedback loops, and present findings to product and logistics leadership
Logistics Issue Resolution & Stakeholder Support
Serve as the first escalation point for logistics issues: diagnosing root causes, mobilizing fixes, and communicating resolution timelines.
Manage performance during high-demand periods, including holidays, national days, and weekends, with proactive monitoring frameworks.
Coordinate with central/regional logistics and product teams (e.g. Delivery Hero central) to implement platform-wide improvements locally.
Minimize wastage per order through operational audits and targeted efficiency initiatives.
Provide training, change management support, and communications for stakeholder transitions tied to new logistics models or tools
Knowledge and Experience
5–8 years of experience in logistics analytics, operations, product operations, or a related field, preferably within food delivery, quick commerce, or a high-growth tech platform.
Proven track record in at least two of: BI/analytics delivery, logistics optimization, and product rollout execution.
Experience working in multi-market or global organizations with cross-functional, matrixed team structures.
Exposure to rider/fleet operations, last-mile delivery dynamics, and demand-supply management is strongly preferred
Exposure to A/B testing frameworks and statistical significance analysis in an operational context.
Advanced SQL proficiency, can write complex queries from scratch and independently pull your own data.
Strong experience with data visualization platforms: Tableau, Looker, Google Data Studio, or equivalent.
Comfortable with Python or R for automation, modeling, or data transformation.
Familiarity with project management and collaboration tools: Jira, Confluence, Notion, Asana
Bachelor's degree in Engineering, Supply Chain, Operations Management, Data Science, Computer Science, or a related quantitative field.
Master's degree in a relevant field is a plus
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