Manager, Data & Analytics (Logistics)

Delivery Hero
Singapore
Workplace: HybridFull timeFunction: Data Analytics & Business IntelligenceExperience: 8+ yearsEducation: bachelorsSkills: ["Team leadership","Mentorship","Problem-solving","Executive communication","Stakeholder management"]

Lead a logistics analytics team delivering in-depth insights across geography operations, fleet performance, delivery efficiency, and cost optimization. Partner with Logistics and Service Operations to turn priorities into a high-impact analytics roadmap and performance-management processes. Build composite KPIs, enhance semantic data models, and collaborate with Analytics Engineering and AI teams to deploy scalable, self-serve agentic AI data products. Apply decision science, operations research, and causal impact methods while owning end-to-end outcomes and executive storytelling.

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FursaFursa
Delivery Hero
Delivery Hero
1 month ago

Manager, Data & Analytics (Logistics)

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Job Summary

Lead a logistics analytics team delivering in-depth insights across geography operations, fleet performance, delivery efficiency, and cost optimization. Partner with Logistics and Service Operations to turn priorities into a high-impact analytics roadmap and performance-management processes. Build composite KPIs, enhance semantic data models, and collaborate with Analytics Engineering and AI teams to deploy scalable, self-serve agentic AI data products. Apply decision science, operations research, and causal impact methods while owning end-to-end outcomes and executive storytelling.
Location: Singapore
Workplace: Hybrid
Employment Type: Full time
Job Function: Data Analytics & Business Intelligence
Seniority: Manager level

Key Responsibilities

  • •Lead, grow, and mentor a high-performing analytics team, coaching the structure and solving of complex logistics problems.
  • •Partner with logistics leadership to translate business priorities into high-impact analytical initiatives and shape the analytics roadmap.
  • •Design composite performance metrics, enhance semantic data models, and collaborate with Analytics Engineering and AI COE teams to build scalable, self-serve agentic AI data products.
  • •Apply operations research and causal impact quantification methods to inform strategic trade-offs and identify efficiency opportunities.
  • •Own logistics analytics outcomes end-to-end and synthesize KPIs, trends, and performance drivers into executive-ready narratives and recommendations.

Key Requirements

  • •Bachelor’s degree in a quantitative field (or equivalent practical experience) with 8+ years in analytics/data science and a track record of building and leading teams.
  • •Proven impact in logistics, supply chain, or operations analytics, improving cost, efficiency, and service performance.
  • •Strong technical depth in SQL and Python, with experience in statistical modeling, experimentation (A/B testing/causal inference), and operations research (simulations, optimization).
  • •Experience building scalable data products or analytical solutions using AI tooling, including ML-based forecasting methods.
  • •Experience partnering with senior stakeholders, influencing without authority, and driving cross-functional alignment in fast-paced environments.
Experience:8+ yearsLogisticsSupply chainOperations analytics
Education:Bachelor's
Skills:Team leadershipMentorshipProblem-solvingExecutive communicationStakeholder management
Languages:English
Tech Stack:SQLPythonA/B testingCausal inferenceOperations researchSimulationsOptimizationMachine learningML forecastingAI toolingAgentic AISemantic data modelsData products

Company Brief

Delivery Hero
Global online food-ordering and local delivery platform operating multiple regional brands (e.g., Foodpanda, Glovo, Talabat) across 50–70+ countries, supplying food and quick-commerce deliveries via marketplace and logistics services.
Industry: Online Marketplaces
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: Berlin, Germany
Founded: 2011
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Glassdoor: 3.4
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