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REQUIREMENT_ID_1671 β€’ 3-DAY_ACTIVE_POLICY

Central Operations Support Executive

Company
Company Amazon
Type
Opportunity Type Internship
Salary
Stipend / Salary 6 LPA
Location
Location Tamil Nadu (Remote)
Posted Date
Posted Date Oct 09, 2026
Advanced Excel SQL Data Analysis Stakeholder Management Communication Problem Solving SOP Development Remote Monitoring Customer Obsession
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Amazon Placement Papers Open Resource β†—
Comprehensive collection of previous Amazon placement questions to help you practice the type of problems asked.
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Amazon Recruitment Process Experiences Open Resource β†—
First‑hand candidate experiences detailing each interview round and useful preparation tips.
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Amazon Interview Preparation Guide Open Resource β†—
Curated guide covering Amazon's leadership principles, typical questions, and study strategies.
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Algorithm Practice Problems Open Resource β†—
Extensive problem set to sharpen coding and analytical skills required for Amazon assessments.

Bachelor's degree in Computer Science, Engineering, Statistics or any quantitative/technical discipline; minimum 60% aggregate (or CGPA 6.0/10); no active backlogs at the time of joining; graduating batch 2024‑2026 acceptable.

1
Round 1: Online Assessment (Logical Reasoning & Excel based case)
2
Round 2: Technical/Functional Interview (operations scenarios, data analysis)
3
Round 3: Managerial Interview (Leadership Principles)
4
Round 4: HR Interview (fit & compensation)
Amazon, a global e‑commerce and cloud‑computing giant, has built its reputation on relentless customer obsession, innovation, and operational excellence. In India, Amazon operates a vast network of fulfillment centers, seller services, and technology platforms that touch millions of customers daily. The company’s culture encourages ownership, data‑driven decision making, and a bias for action, making it an attractive destination for fresh graduates who want to make an impact at scale. The Central Operations Support Executive (COSE) role is part of the External Fulfillment team that remotely monitors and supports sellers across India. As a COSE, you will act as the bridge between field executives, sellers, and internal Amazon stakeholders, ensuring smooth day‑to‑day operations, adherence to SOPs, and continuous improvement of the seller experience. This position is fully virtual, allowing you to work from anywhere in Tamil Nadu while collaborating with cross‑functional teams through voice and non‑voice channels. **Key Responsibilities** 1. Monitor the performance of assigned seller sites through outbound calls, emails, and coordination with field executives. 2. Identify and flag any operational disruptions or pattern anomalies using data analytics. 3. Liaise between sellers, field teams, and internal Amazon departments to ensure timely issue resolution. 4. Conduct virtual training sessions for sellers on Amazon policies, best practices, and new process roll‑outs. 5. Develop, document, and continuously refine Standard Operating Procedures (SOPs) for seller support. 6. Analyse daily metrics, generate insights, and propose actionable improvements to enhance seller satisfaction. 7. Participate in audit activities to verify compliance with Amazon’s operational standards. 8. Support the rollout of new tools or features by gathering feedback and driving adoption among sellers. 9. Maintain accurate records of interactions and escalations in internal tracking systems. 10. Contribute to central control‑centre initiatives aimed at scaling support operations. **Tech Stack & Tools**: Advanced Excel, SQL (preferred), Amazon internal dashboards, CRM tools, communication platforms (Zoom, Teams), and basic data‑visualisation tools. **Growth Path**: Successful COSEs can progress to Senior Operations Analyst, Operations Manager, or specialized roles in Seller Services, Program Management, or Data Analytics within Amazon’s Fulfillment network. **Why Join Amazon?** You will work in a high‑velocity environment that values data‑driven decisions and empowers you to own end‑to‑end processes. The role offers exposure to large‑scale e‑commerce operations, opportunities to interact with diverse stakeholders, and a clear career ladder backed by Amazon’s world‑class learning resources.

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, Stakeholder Management, Communication, Problem Solving, SOP Development, Remote Monitoring, Customer Obsession) & 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 Operations 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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