ASSPL
Fulfillment Operations Management, Planning/Development, Logistics
CapacityPlannerAMZL
Neural analysis suggests this role is
optimal for Mid+ candidates.
“Capacity Planner AMZL at ASSPL. Skills: Capacity planning, Forecasting, Data analysis. Own weekly and daily capacity plans. Develop and maintain short-term capacity plans”
What You'll Achieve.
Ensure right capacity is available; Meet customer promise; Optimize cost-to-serve; Ensure delivery sufficiency; Reduce cost-to-serve; Maintain service levels; Eliminate defects; Improve productivity
Industry & Context.
Root cause analysis; Data-driven insights
What They're Looking For.
Must Have
1+ years tax, finance or related analytical field experience, 2+ years complex Excel VBA macros writing experience, Experience defining requirements and using data and metrics to draw business insights, Experience with SQL or ETL
Nice to Have
Experience working with Tableau, Experience using very large datasets
What You'll Do.
Own weekly and daily capacity plans
Develop and maintain short-term capacity plans
Build cycle-level volume predictions
Translate predictions into actionable block and route plans
Lead capacity planning for High Volume Events
Track and analyze key capacity metrics
Conduct Daily Business Reviews
Conduct Weekly Business Reviews
Conduct Monthly Business Reviews
Identify capacity gaps
Identify over/under-supply situations
Recommend corrective actions
Manage DSP pricing strategies
Manage eDSP pricing strategies
Manage pickup pricing strategies
Drive initiatives to improve assignment compliance
Reduce unplanned shipments
Partner with Routing teams
Partner with Supply Planning teams
Partner with Operations teams
Collaborate with BI teams
Collaborate with tech teams
Work with regional AMZL teams
Work with global AMZL teams
Develop and maintain SOPs
Develop and maintain planning frameworks
Develop and maintain governance mechanisms
Lead automation initiatives
Drive standardization of planning processes
How You'll Work.
Team & Collaboration
Cross-functional teams; BI and tech teams; Regional and global AMZL teams
Communication Scope
Business Reviews
Full Job Description
Amazon Logistics India (IN AMZL) is looking for a driven and analytical professional to join the Short Term Capacity Planning team. This role sits at the intersection of operations, data analytics, and strategic planning — responsible for ensuring the right capacity is available across VAN and BIKE service networks to meet customer promise while optimizing cost-to-serve. The Short Term Capacity Planner will own near-term capacity planning across DSP, Hubs, AMFLEX, and emerging channels, ensuring delivery sufficiency across all zones and stations in India. Key Responsibilities Capacity Planning & Forecasting Own weekly and daily capacity plans across all channels (DSP, hubs, AMFLEX, and emerging) for the India network Develop and maintain short-term (D-1, D-7) capacity plans aligned with volume forecasts Build cycle-level volume predictions and translate them into actionable block and route plans Lead capacity planning for High Volume Events (HVEs) including Prime Day, ART events, and peak seasons, ensuring cost and capacity sufficiency Performance Monitoring & Analytics Track and analyze key capacity metrics including DPPH (Deliveries Per Productive Hour), assignment compliance, block mix, and ROBL (Return-on-Business-Load) across zones Conduct Daily Business Reviews (DBR), Weekly Business Reviews (WBR), and Monthly Business Reviews (MBR) with actionable insights Identify capacity gaps, over/under-supply situations, and recommend corrective actions proactively Block Mix & Cost Optimization Optimize block mix across VAN and BIKE channels to reduce cost-to-serve while maintaining service levels Manage DSP, eDSP, and pickup pricing strategies to eliminate defects and improve productivity Drive initiatives to improve assignment compliance and reduce unplanned shipments Cross-functional Collaboration Partner with Routing, Supply Planning, and Operations teams to align capacity inputs with routing configurations and station-level constraints Collaborate with BI and tech t
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