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REQUIREMENT_ID_407 β€’ 3-DAY_ACTIVE_POLICY

Central Ops Support Executive

Company
Company Amazon
Type
Opportunity Type Internship
Salary
Stipend / Salary 12 LPA - 15 LPA
Location
Location Remote (India)
Posted Date
Posted Date Yesterday
Advanced Excel SQL Data Analysis Process Improvement Stakeholder Management Communication Problem Solving SOP Development
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Amazon Placement Papers Open Resource β†—
Curated set of previous Amazon placement questions that help you practice the type of aptitude and analytical problems asked in the assessment.
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Amazon Recruitment Process Experiences Open Resource β†—
First‑hand interview experiences from candidates that give insight into the round structure, difficulty level, and common question themes.
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Amazon Interview Preparation Guide Open Resource β†—
Comprehensive guide covering Amazon leadership principles, sample questions, and preparation tips tailored for operations roles.
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Algorithm Practice Problems Open Resource β†—
Extensive problem set to sharpen coding and logical reasoning skills, useful for the technical assessment stage.

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.

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

Amazon β€” Data Analytics & SQL Interview Guide

Previously asked questions, exam syllabus, coding benchmarks & round strategy.

APTITUDE & LOGIC πŸ“–
Aptitude Practice Questions & Online Mock Tests

Curated logical, quantitative, and verbal reasoning problems to sharpen reasoning skills required for the initial screening test.

Open Resource β†—
COMPANY GUIDE 🎯
Amazon Interview Preparation Corner

Comprehensive guide covering typical interview formats, common questions, and preparation tips for Amazon and off-campus tech roles.

Open Resource β†—
MOCK TESTS & PAPERS πŸ“
Comprehensive Interview Prep Resources & Syllabus

Collection of previous year questions, company-specific test patterns, and interview experiences for technical and HR rounds.

Open Resource β†—
CODING PRACTICE πŸ’»
Algorithm and Data Structure Problem Set

Practice problems to improve coding proficiency and algorithm problem-solving speed for technical rounds.

Open Resource β†—
Round 1: Online Assessment (OA)
Aptitude, Quantitative Logic & 2 Coding Problems
Focus on accuracy and speed. Practice arrays, strings, and standard arithmetic puzzles.
Round 2: Technical Interview 1
Core Tech Stack (Advanced Excel, SQL, Data Analysis, Process Improvement, Stakeholder Management, Communication, Problem Solving, SOP Development) & Live Code Tracing
Explain your thought process aloud. Analyze time & space complexities before coding.
Round 3: System Design & Problem Solving
Database Schemas, APIs & Architecture Basics
Clarify edge cases, diagram schemas cleanly, and discuss scalability trade-offs.
Round 4: HR & Cultural Fit Discussion
Amazon Core Values, Learning Agility & Offer Terms
Demonstrate passion, strong communication, and readiness for full-time collaboration.
What is the difference between WHERE and HAVING clauses in SQL? Answer β–Ό
Model Answer: WHERE filters rows before any groupings are applied, while HAVING filters aggregated groups after GROUP BY has executed.
Explain SQL Window functions: ROW_NUMBER(), RANK(), and DENSE_RANK(). Answer β–Ό
Model Answer: ROW_NUMBER() assigns unique sequential integers. RANK() assigns identical ranks to ties and skips ranks. DENSE_RANK() assigns identical ranks to ties without skipping rank numbers.
How do you handle NULL and missing values during data cleaning in Python/Pandas? Answer β–Ό
Model Answer: Use .isna().sum() to identify missing values. Impute with mean/median using .fillna() or remove with .dropna(subset=[...]) depending on variance impact.
What is the difference between Star Schema and Snowflake Schema in Data Warehousing? Answer β–Ό
Model Answer: Star Schema has denormalized dimension tables directly connected to the central Fact table. Snowflake Schema normalizes dimension tables into sub-dimensions to minimize redundancy.
How do you calculate MoM (Month-over-Month) growth in SQL? Answer β–Ό
Model Answer: Use LAG(revenue, 1) OVER (ORDER BY month) to fetch the previous month's revenue and compute (revenue - prev_revenue) / prev_revenue * 100.
Why do you want to join Amazon as a Central Ops Support Executive?
Preparation Tip: Highlight Amazon's market reputation, recent tech innovations, and how your skills in Advanced Excel directly solve their team's objectives.
Describe a challenging bug or academic project roadblock and how you resolved it.
Preparation Tip: Use the STAR method: Situation (project context), Task (what needed solving), Action (specific tools/logic applied), Result (quantifiable positive outcome).
How do you handle strict deadlines or sudden scope changes?
Preparation Tip: Explain your prioritization strategy, proactive communication with mentors/peers, and agile mindset.

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