Advanced Analytics Leader

22 hours ago


Delhi, Delhi, India beBeeDataAnalyticsManager Full time ₹ 8,00,000 - ₹ 12,00,000

**Job Description:**

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As a Senior Manager, Asset Management you will play a critical leadership role in shaping how data informs decisions across Fulfillment & Logistics.

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You'll be responsible not only for building advanced analytical models and insights but also for setting the vision and roadmap for data analytics in Fugistics.

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Own the end to end supply planning cycle, translating demand forecasts into supply plans for inbound/outbound/returns for fulfilment and logistics teams.

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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.

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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.

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Monitor Key performance indicators including daily attainment, capacity utilization, promise quality etc.

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Partner with senior stakeholders across Operations, Finance, Product, and Technology to translate business problems into structured analytical projects.

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Build and maintain scalable data frameworks, planning models, and dashboards that provide actionable insights for decision-making at all levels.

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Champion automation and self-service tools to empower teams and reduce manual reporting.

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Act as a thought partner to leadership, proactively identifying risks, opportunities, and areas for strategic investment.

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8+ years of experience in Data Analytics, Business Intelligence, or Strategic Analytics, with at least 3 years in a leadership role.

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  • Proven track record of leading cross-functional analytics projects that drive measurable business impact.
  • Deep expertise in SQL, BigQuery, and modern data analytics tools.
  • Proficiency in data visualization platforms (Google Data Studio, Power BI, Tableau).
  • Strong statistical foundation and experience with forecasting, predictive modeling, regression, clustering, classification techniques.
  • Knowledge of programming languages such as Python or R (preferred).
  • Bachelor's or Master's degree in Engineering, Data Science, Business Analytics, Statistics, or related field.

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