Central Ops Support Executive

Amazon’s interview process typically starts with an online assessment focusing on quantitative aptitude and logical reasoning. Shortlisted candidates face a technical/operations interview that tests data‑analysis abilities using Excel/SQL scenarios, followed by a managerial round centered on Amazon’s Leadership Principles. The HR round wraps up the process with discussions on cultural fit and compensation. Preparation should include practicing data‑driven case studies and mastering behavioral storytelling.

Round 1: Online Assessment (aptitude & logical reasoning) → Round 2: Technical/Operations Interview (data analysis, Excel/SQL scenarios) → Round 3: Managerial Interview (behavioral, Amazon Leadership Principles) → Round 4: HR Interview (culture fit, compensation discussion)

Amazon fosters a high‑performance culture where ownership, bias for action, and customer obsession are core values. Employees enjoy clear career ladders, frequent feedback, and opportunities to work on global scale problems. While the pace can be demanding, the company offers flexible work arrangements and a supportive environment for continuous learning.

Bachelor's degree in Computer Science, Engineering, Statistics or any quantitative/technical discipline; minimum 60% aggregate (or CGPA 6.5/10); no active backlogs; graduating batch 2023‑2026; Indian citizenship or eligibility to work in India.

Amazon is one of the world’s largest e‑commerce and cloud‑computing companies, operating in more than 20 countries across the globe. In India, Amazon has built a massive ecosystem that includes marketplace sellers, logistics partners, and a growing customer base that expects fast, reliable service. The company’s culture is built around customer obsession, long‑term thinking, and a relentless drive for operational excellence. Employees get to work on high‑impact projects that shape the way millions of Indians shop online every day. The Central Ops Support Executive role is a critical part of Amazon’s External Fulfillment team. Reporting to the Operations Manager, the executive works remotely to monitor, support, and improve the daily operations of third‑party sellers. The role blends data‑driven analysis with hands‑on field coordination, ensuring that sellers meet Amazon’s performance standards while delivering a seamless customer experience. You will act as the bridge between field executives, sellers, and internal stakeholders, driving process improvements and troubleshooting operational disruptions. Key responsibilities include: 1. Remotely monitor the efficiency of assigned seller sites through outbound calls, emails, and coordination with field executives. 2. Liaise between sellers, field teams, and internal/external agencies to ensure timely execution of operational tasks. 3. Train and guide sellers on Amazon’s SOPs, best practices, and compliance requirements. 4. Develop, document, and roll out new SOPs to improve seller experience and operational metrics. 5. Analyze daily operational data, identify patterns or anomalies, and propose corrective actions. 6. Conduct regular audits of seller performance and generate actionable insights for continuous improvement. 7. Maintain and update dashboards in Excel/SQL to track key performance indicators (KPIs) such as order defect rate, on‑time delivery, and customer satisfaction. 8. Participate in cross‑functional projects aimed at scaling processes and launching new seller programs. 9. Provide real‑time field support during peak periods or when critical issues arise. 10. Prepare and present performance reports to senior leadership and stakeholders. Tech Stack: Advanced Excel, SQL for data extraction, basic Python for automation (optional), Tableau/PowerBI for visualization, Amazon internal tools (Seller Central, Ops Dashboard). Growth Path: Central Ops Support Executive → Senior Operations Analyst → Operations Manager → Senior Operations Manager → Director of Operations. Amazon encourages internal mobility, so high performers can quickly move into product, program‑management, or data‑science roles. Why Join Amazon? You will be part of a world‑class organization that values data‑driven decision making and offers unparalleled exposure to large‑scale operations. The role provides a fast‑paced learning environment, mentorship from seasoned leaders, and the chance to impact millions of customers daily. Competitive compensation, comprehensive benefits, and a culture that celebrates innovation make Amazon an ideal launchpad for ambitious freshers.