招聘
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 teams to build scalable planning tools, dashboards, and automated reporting
Work with regional and global AMZL teams (NA, EU) for benchmarking and adoption of best practices
Process Improvement & Governance:
Develop and maintain SOPs, planning frameworks, and governance mechanisms for capacity decisions
Lead automation initiatives such as auto-cap approval workflows and CTO-based capacity enrichment
Drive standardization of planning processes across stations and zones
Basic Qualifications
- 1+ years of tax, finance or a related analytical field experience
- 2+ years of complex Excel VBA macros writing experience
- Experience defining requirements and using data and metrics to draw business insights
- Experience with SQL or ETL
Preferred Qualifications
- Experience working with Tableau
- Experience using very large datasets
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
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关于Amazon

Amazon
PublicAmazon.com, Inc. is an American multinational technology company engaged in e-commerce, cloud computing, online advertising, digital streaming, and artificial intelligence.
10,001+
员工数
Seattle
总部位置
$1.5T
企业估值
评价
3.4
10条评价
工作生活平衡
2.3
薪酬
4.2
企业文化
3.1
职业发展
3.8
管理层
2.7
65%
推荐给朋友
优点
Great benefits and competitive compensation
Learning opportunities and career advancement
Good teamwork and colleagues
缺点
High pressure and long hours
Poor work-life balance
Toxic work culture and high turnover
薪资范围
4个数据点
Junior/L3
L2
L3
L4
L5
L6
M3
M4
M5
M6
Intern
Junior/L3 · Warehouse
1份报告
$30,509
年薪总额
基本工资
$23,546
股票
-
奖金
-
$30,509
$30,509
面试经验
6次面试
难度
4.0
/ 5
时长
21-35周
体验
正面 0%
中性 17%
负面 83%
面试流程
1
Application Review
2
Recruiter Screen
3
Online Assessment
4
Technical Phone Screen
5
Technical Interview
6
Onsite/Virtual Interviews
常见问题
Coding/Algorithm
System Design
Behavioral/STAR
Technical Knowledge
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