Chief Business Intelligence Strategist

3 days ago

Thāne, Maharashtra, India beBeeData Full time ₹ 1,00,00,000 - ₹ 1,50,00,000
Senior Manager Data Analytics

About noon, the region's leading consumer commerce platform is driving major missions forward by building one of the most data-driven organizations in the region.

We are seeking a Senior Manager, Data Analytics, to play a critical leadership role in shaping how data informs decisions across Fulfillment & Logistics.

You will lead a team of analytics professionals and partner closely with business leaders to drive operational excellence, efficiency, and innovation at scale.

Key Responsibilities:

  • Supply Planning Cycle Management: Own the end-to-end supply planning cycle, translating demand forecasts into supply plans for inbound/outbound/returns for fulfillment and logistics teams.
  • Collaboration with Cross-Functional 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.
  • Seasonal Event Planning: Lead seasonal and promotional event planning including inventory build-up strategies, temporary storage solutions, manpower planning by partnering with cross-functional teams to ensure seamless execution.
  • Performance Monitoring: Monitor key performance indicators including daily attainment, capacity utilization, promise quality, etc.
  • Team Leadership and Growth: Lead, mentor, and grow a high-performing team of planners and analysts and drive continuous process improvements across planning processes.
  • Strategic Partnerships: Partner with senior stakeholders across operations, finance, product, and technology to translate business problems into structured analytical projects.
  • Data Framework Development: Build and maintain scalable data frameworks, planning models, and dashboards that provide actionable insights for decision-making at all levels.
  • Operational Metrics Tracking: Drive forecasting, budgeting, and KPI tracking for key operational metrics across fulfillment centers, last-mile logistics, and supply chain.
  • Advanced Analytical Techniques: Develop and implement advanced analytical techniques (forecasting, clustering, regression, predictive modeling) to anticipate trends and identify opportunities for efficiency improvements.
  • Automation and Self-Service Tools: Champion automation and self-service tools to empower teams and reduce manual reporting.
  • Thought Leadership: Act as a thought partner to leadership, proactively identifying risks, opportunities, and areas for strategic investment.

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