12 дней назад
Manager, Data & Analytics (Logistics)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Manager, Data & Analytics (Logistics) (Logistics Analytics/AI): Leading a high-performing analytics team that delivers logistics insights, performance frameworks, and scalable AI data products with an accent on fleet performance, delivery efficiency, cost optimization, and decision science. Focus on designing composite metrics, applying causal inference and operations research, building self-serve analytical solutions, and translating complex findings into executive decisions.
Location: Singapore
Company
is a local delivery and quick-commerce platform operated by Delivery Hero Group across markets in Asia, Europe, Latin America, the Middle East, and Africa.
What you will do
- Lead, mentor, and develop a high-performing logistics analytics team.
- Partner with logistics leadership to translate business priorities into an analytics roadmap and performance management initiatives.
- Design composite performance metrics, improve semantic data models, and build scalable self-serve AI data products with Analytics Engineering and AI COE teams.
- Apply operations research, causal impact quantification, statistical modeling, experimentation, simulations, and optimization to improve logistics decisions.
- Own analytics outcomes from problem framing through execution, synthesizing KPIs and performance drivers into executive-ready recommendations.
Requirements
- Bachelor’s degree in a quantitative field or equivalent practical experience.
- 8+ years of experience in analytics or data science, including building and leading high-performing teams.
- Proven experience in logistics, supply chain, or operations analytics with measurable improvements in cost, efficiency, and service performance.
- Strong technical skills in SQL and Python, including statistical modeling, A/B testing, causal inference, operations research, simulations, optimization, and ML-based forecasting.
- Experience building scalable data products or analytical solutions using AI tooling.
- Strong problem-solving, stakeholder management, influencing, and cross-functional alignment skills in ambiguous, fast-paced environments.
Culture & Benefits
- Dynamic and challenging work environment with responsibility from day one.
- Personal and professional development opportunities.
- Regular company and team events.
- International, diverse, and inclusive working environment.
- Opportunity to work in a fast-growing global delivery and quick-commerce organization.
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