Senior Data Strategy Leader

10 hours ago

Jodhpur, Rajasthan, India beBeeData Full time ₹ 36,00,000 - ₹ 48,00,000

About noon, a leading commerce platform operating in the region.

The company's mission is to make every door available for customers every day.

Launched on December 2017, noon has since expanded its services to include marketplaces for food delivery, quick-commerce, fintech, and fashion. The company's ecosystem is constantly evolving and improving.

As a Senior Manager, Data Analytics, you will 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:

  • Owning the end-to-end supply planning cycle, translating demand forecasts into supply plans for inbound/outbound/returns for fulfillment and logistics teams.
  • Collaborating 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.
  • Leading 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.
  • Monitoring Key Performance Indicators including daily attainment, capacity utilization, promise quality etc.
  • Leads, mentors, and grows a high-performing team of Planners and Analysts and drives continuous process improvements across planning processes.
  • Partners with senior stakeholders across Operations, Finance, Product, and Technology to translate business problems into structured analytical projects.
  • Built and maintains scalable data frameworks, planning models, and dashboards that provide actionable insights for decision-making at all levels.
  • Drives forecasting, budgeting, and KPI tracking for key operational metrics across fulfillment centers, last-mile logistics, and supply chain.
  • Develops and implements advanced analytical techniques (forecasting, clustering, regression, predictive modeling) to anticipate trends and identify opportunities for efficiency improvements.
  • Champions automation and self-service tools to empower teams and reduce manual reporting.
  • Acts as a thought partner to leadership, proactively identifying risks, opportunities, and areas for strategic investment.

Furthermore, the successful candidate should have:

  • Advanced skills in data analysis, machine learning, and statistical modeling.
  • Strong knowledge of supply chain management principles and practices.
  • Experience in working with big data technologies like Hadoop, Spark, and NoSQL databases.
  • A strong understanding of SQL programming languages.
  • Excellent problem-solving and analytical skills.
  • Effective communication and presentation skills.
  • A bachelor's degree in a quantitative field such as Mathematics, Statistics, Computer Science or Engineering.
  • Prior experience in a similar role within a large organization.

This position offers a competitive salary, excellent benefits, and opportunities for career growth and development. If you are a motivated and experienced professional looking to take your career to the next level, we encourage you to apply.

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