Website Amazon

Looking for a high-impact analytics role with one of the world’s most customer-centric organisations? Amazon is hiring a Catalogue Analyst – IN Luggage in Bengaluru under ASSPL – Karnataka (Job ID: A3180521).

If you are passionate about data mining, SQL querying, ETL design, and business intelligence tools—and thrive in fast-paced, ambiguous environments—this opportunity offers a powerful platform to build your analytics career.

📌 Job Overview

  • Role: Catalogue Analyst – IN Luggage

  • Company: Amazon (ASSPL – Karnataka)

  • Location: Bengaluru, Karnataka

  • Employment Type: Full-Time

  • Job ID: A3180521

  • Education Required: Bachelor’s Degree

  • Preferred Skill: SQL Database Experience

🔎 Role Summary

Amazon is seeking a data-driven Catalogue Analyst to support aggressive global growth initiatives. This role focuses on transforming complex datasets into actionable insights that answer strategic business questions related to operations and catalogue processes.

You will be responsible for:

  • Data mining

  • Reporting and performance tracking

  • Defect analysis

  • Metrics framework development

  • Standardization of processes and reporting

The ideal candidate has strong analytical thinking, deep data modelling expertise, hands-on SQL knowledge, and experience working with columnar databases like Amazon Redshift and other AWS technologies.

🎯 Key Responsibilities

📊 Data Mining & Defect Analysis

  • Conduct daily, weekly, and monthly research activities.

  • Perform root cause analysis on the catalogue and operations defects.

  • Identify data inconsistencies and process disruptions.

  • Scrutinize patterns and anticipate downstream data implications

📈 Reporting & Metrics Framework

  • Prepare and publish daily, weekly, and monthly operational reports.

  • Develop structured performance evaluation metrics.

  • Build and refine metrics frameworks for operational measurement.

  • Ensure reporting accuracy and process standardization

🛠 Data Engineering & BI Collaboration

  • Work with complex datasets in high-volume environments.

  • Use SQL databases for querying and analysis.

  • Leverage Redshift and AWS technologies.

  • Support ETL design and data modelling initiatives.

  • Partner with internal customers to identify strategic opportunities

🧠 Required Qualifications

Basic Qualification

  • Bachelor’s degree (any relevant discipline)

Preferred Qualification

  • Experience querying and analysing SQL databases

💡 Desired Technical Skills

  • Advanced SQL querying and database management

  • Hands-on experience with columnar databases (e.g., Redshift)

  • ETL design and implementation knowledge

  • Business Intelligence tools proficiency

  • Data modelling expertise

  • Metrics design and KPI development

  • Strong analytical problem-solving mindset

🚀 What Makes This Role Unique?

Amazon emphasizes customer obsession, ownership, and innovation. In this position, you will:

  • Work with large-scale, high-complexity datasets.

  • Influence operational performance through metrics and insights.

  • Standardize reporting across business units.

  • Drive strategic decisions using data-backed evidence.

  • Operate in a fast-paced and continuously evolving environment

The company values self-starters who are comfortable with ambiguity, think big, and pay close attention to detail.

🌍 Career Growth at Amazon

This Catalogue Analyst role can open pathways into:

  • Business Analyst

  • Data Engineer

  • Business Intelligence Engineer

  • Operations Analytics Manager

  • Program Manager – Analytics

Working at Amazon enhances exposure to global systems, advanced cloud technologies, and scalable data infrastructures.

🏢 About Amazon (ASSPL – Karnataka)

Amazon Seller Services Private Limited (ASSPL) supports Amazon’s India marketplace operations. With strong emphasis on operational excellence and analytics, Amazon India continues to expand its technology-driven ecosystem in Bengaluru—India’s technology capital.

Amazon fosters an inclusive work culture and provides workplace accommodations for candidates requiring support during hiring and onboarding processes.

📢 How to Apply

Interested candidates can apply directly through Amazon’s official careers portal using Job ID A3180521.

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