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🏢 Amazon Development Centre (India) Private Limited
Catalog Associate, Global Catalog Operations
💼 Fulltime
🎓 2026 Batch
📍 Chennai, Tamil Nadu, India
🔗 Explore More
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🛠 Skills Required
Analytical thinking
Attention to detail
Microsoft Excel (advanced)
Microsoft Office
Data auditing
Logical decision making
Written and verbal communication
Problem solving
Ability to work independently
Stakeholder management
🎤 Interview Experience
Amazon’s interview process typically starts with an online assessment that tests logical reasoning, data interpretation, and Excel‑based tasks. Successful candidates move to a technical interview where they solve audit‑related case studies, demonstrate Excel shortcuts, and discuss how they would handle ambiguous product data. The final HR round evaluates cultural fit through Amazon’s leadership principles, communication skills, and expectations around work ethic. Candidates should practice scenario‑based questions and be ready to articulate clear, data‑driven decisions.
🏢 Work Culture
Amazon Development Centre (India) Private Limited fosters a fast‑paced, data‑centric culture where employees are encouraged to take ownership and experiment. The company offers clear career ladders, regular feedback, and a supportive environment that balances challenging projects with work‑life flexibility.
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📚 Free Study Materials (4)
Amazon Placement Papers – Comprehensive Question Bank
Provides previous Amazon placement questions and solutions, helping candidates practice logical reasoning and data‑analysis scenarios relevant to catalog audit roles.
Open Resource ↗
Amazon Recruitment Process – Interview Experiences
Shares real candidate experiences, covering assessment formats and interview tips that are directly applicable to the Catalog Associate selection process.
Open Resource ↗
PrepInsta Amazon Interview Guide
Offers a curated set of Amazon interview questions, leadership‑principle discussions, and preparation strategies useful for the functional and HR rounds.
Open Resource ↗
LeetCode Problem Set – Practice Coding & Logical Puzzles
While not coding‑heavy, practicing LeetCode sharpens analytical thinking and problem‑solving skills needed for data‑audit scenarios.
Open Resource ↗
✅ Eligibility Criteria
Bachelor's degree in any discipline with minimum 60% aggregate (or CGPA 6.0/10); fluent in spoken, written, and read English; proficient with Microsoft Office, especially Excel; no active backlogs at the time of joining; freshers graduating in 2025 or 2026 are preferred.
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🏆 Selection Process
Round 1: Online assessment (logical reasoning & data interpretation) → Round 2: Technical/Functional interview focusing on audit processes, Excel proficiency, and scenario‑based problem solving → Round 3: HR interview covering cultural fit, Amazon leadership principles, and compensation discussion
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🔔 Apply before 30 Jun 2026 — 17 days remaining
📋 About the Role
Amazon, a global e‑commerce and cloud‑computing giant, has built its reputation on relentless customer obsession, innovation, and operational excellence. In India, Amazon Development Centre (India) Private Limited serves as the technology and operations hub for a wide range of consumer‑facing services, employing thousands of engineers, analysts, and support professionals across major cities. The company’s culture emphasizes data‑driven decision making, rapid experimentation, and a bias for action, offering employees a platform to work on high‑impact projects that touch millions of shoppers every day. With a strong focus on learning and career growth, Amazon provides structured pathways, mentorship programs, and internal mobility that enable fresh talent to rise quickly within the organization.
The Catalog Associate role in Global Catalog Operations is a front‑line position that ensures the accuracy, completeness, and quality of product information displayed on Amazon’s retail platform. As a Catalog Associate, you will audit product listings, validate data against governing sources, and collaborate with cross‑functional teams to refine SOPs and guidelines. This position is ideal for candidates who possess strong analytical abilities, meticulous attention to detail, and excellent written and verbal communication skills in English. You will work from the Chennai corporate office, following predefined processes while also exercising logical judgment when faced with ambiguous data.
Key responsibilities include:
1. Follow standard operating procedures to perform high‑volume catalog audits with precision.
2. Approve or reject catalog entries based on defined guidelines and provide clear reasoning for each decision.
3. Validate product details by consulting governing sources, browsing the site, and using search tools.
4. Identify and document recurring data quality issues, proposing improvements to SOPs.
5. Generate audit reports and communicate findings to stakeholders across the organization.
6. Analyze audit data to uncover trends, patterns, and opportunities for automation.
7. Contribute to the creation and testing of new SOPs for emerging audit tasks.
8. Collaborate with project teams to streamline processes and enhance overall audit productivity.
9. Maintain consistent quality standards while handling high‑visibility English content for all English‑speaking markets.
10. Provide feedback to senior leadership on process bottlenecks and suggest actionable solutions.
The tech stack for this role primarily includes advanced Microsoft Excel (pivot tables, VLOOKUP, macros), Microsoft Office Suite, and internal catalog management tools built on Amazon’s proprietary platforms. Familiarity with SQL or basic scripting can be advantageous but is not mandatory.
Growth path: Starting as a Catalog Associate, high performers can progress to Senior Catalog Associate, then to Team Lead, and eventually to Manager or Senior Manager roles within Global Catalog Operations or related data‑quality teams. Amazon’s internal mobility program also allows lateral moves into product, operations, or analytics roles.
Why join Amazon? You will be part of a world‑class organization that values data integrity and customer experience, gain exposure to large‑scale data operations, and benefit from a competitive compensation package, comprehensive learning resources, and a vibrant, inclusive workplace that encourages innovation at every level.
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Apply before 30 Jun 2026 — only 17 days left
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📋 Quick Info
JOB ID
C176-J033
POSTED
2d ago
TYPE
Fulltime
BATCH
2026
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