
Chief Data Strategy Officer
1 week ago
About us:
We're a leading consumer commerce platform, serving the region with innovative services. Our ecosystem includes marketplaces for food delivery, quick-commerce, fintech, and fashion.
As Senior Manager, Data Analytics, you'll play a critical leadership role in shaping how data informs decisions across Fulfillment & Logistics. You'll lead a team of analytics professionals and partner closely with business leaders to drive operational excellence, efficiency, and innovation at scale.
Key Responsibilities:
- Own the end-to-end supply planning cycle, translating demand forecasts into supply plans for inbound/outbound/returns for fulfillment and logistics teams.
- Collaborate with demand planning, warehouse, and logistics teams to ensure adequate capacity is there to fulfill the monthly plan and ensure timely shipping and on-time deliveries.
- Lead seasonal and promotional event planning, including inventory build-up strategies, temporary storage solutions, and manpower planning by partnering with cross-functional teams to ensure seamless execution.
- Monitor key performance indicators, including daily attainment, capacity utilization, promise quality, etc.
- Lead, mentor, and grow a high-performing team of Planners and Analysts and drive continuous process improvements across planning processes.
- Partner with senior stakeholders across Operations, Finance, Product, and Technology to translate business problems into structured analytical projects.
- Build and maintain scalable data frameworks, planning models, and dashboards that provide actionable insights for decision-making at all levels.
- Drive forecasting, budgeting, and KPI tracking for key operational metrics across fulfillment centers, last-mile logistics, and supply chain.
- Develop and implement advanced analytical techniques (forecasting, clustering, regression, predictive modeling) to anticipate trends and identify opportunities for efficiency improvements.
- Champion automation and self-service tools to empower teams and reduce manual reporting.
Our ideal candidate has exceptional analytical skills and experience with data analysis, statistical modeling, and process improvement. Strong communication and leadership skills are also required. If you have a passion for driving business growth through data-driven decision making, we encourage you to apply for this exciting opportunity.
Additional details: This job requires collaboration with various departments to achieve common goals, so strong interpersonal and relationship-building skills are essential. The successful candidate will be able to work effectively in a fast-paced environment and prioritize tasks efficiently.
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