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Amazon is Hiring Business Analyst, Support, Supply Chain

Supply Chain SSD • Bengaluru, Karnataka

Amazon Logo
Full-Time
Bengaluru, India
Job ID: 10582081

Experience
Not Specified
Qualification
Bachelor's Degree
Salary (Est.)
Not Disclosed
Work Mode
Not Specified
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YOUR NEXT DATA ANALYST INTERVIEW
DESERVES YOUR BEST PREPARATION.

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Prepare across SQL, Excel, Power BI, Python, Statistics, Business Analytics & more — all in one structured guide.

Master SQL, Excel, Power BI, Python, Statistics, Business Analytics & HR interviews with 850+ curated interview questions in one structured guide.

Last Updated: September 2026
Offer Price
₹149 ₹999
Expires in: 06h 00m 00s

Inspired by Interview Trends Across:

• Top Tech Product Companies • Big 4 Consulting Firms • Global Analytics Centers • High-Growth Startups • Fortune 500 Companies • Top Tech Product Companies

Job Overview

Amazon is seeking a Business Analyst, Support, Supply Chain in Bengaluru, Karnataka. This role supports the Supply Chain SSD team by analyzing complex datasets, identifying operational inefficiencies, and translating business data into actionable recommendations.

The successful candidate will work closely with Program Managers, Operations, Supply Chain, and Technology teams. Key responsibilities include deep-dive analytics, dashboard development, SQL-based data processing, workflow automation, inventory analysis, performance reporting, and communicating insights to senior leadership. The position is suited to candidates with strong analytical skills, business acumen, and an interest in solving complex supply chain problems.

This opportunity is ideal for candidates searching for:

  • Amazon Business Analyst jobs in Bengaluru
  • Supply Chain Analytics Jobs
  • Jobs requiring Advanced Excel & SQL
  • Dashboard development jobs using Tableau or QuickSight

Key Responsibilities

As a Business Analyst at Amazon, you will help drive business decisions by analyzing operational data, identifying opportunities for improvement, and developing analytical solutions.

Deep-Dive Data Analytics

  • Independently scope, design, and execute complex analyses involving inventory placement and network flow.
  • Analyze regional demand patterns, fill rates, and outbound shipping cost drivers.
  • Transform raw data into clear, actionable business insights.
  • Quantify the potential business impact of identified issues and opportunities.

Dashboard Development and Reporting

  • Build, automate, and maintain self-service dashboards using QuickSight, Tableau, or similar tools.
  • Provide stakeholders with visibility into inventory placement, inventory health, and network performance.
  • Develop reporting solutions that support operational monitoring and business decisions.

SQL and Data Engineering

  • Write efficient, production-grade SQL queries for large datasets.
  • Work with data platforms and technologies such as Redshift, Hive, and Athena.
  • Build and maintain ETL pipelines, data marts, and reusable datasets.

Business Improvement & Automation

  • Proactively identify gaps, anomalies, and improvement opportunities in inventory placement.
  • Partner with Program Managers and Category teams to evaluate business opportunities.
  • Own the definition, tracking, and reporting of team-level metrics including WBRs and MBRs.
  • Use SQL, Python, or scripting to streamline analytical processes and automate workflows.
  • Present analytical findings to senior leadership through concise, data-backed narratives.

Skills & Technologies

Core Technical Skills

SQL Advanced Excel Python Tableau Amazon QuickSight Amazon Redshift Hive & Athena ETL Pipelines

Data & Analytics Capabilities

Supply Chain Analytics Dashboard Development Data Extraction & Preparation Inventory Analysis Business Reporting Workflow Automation

Professional Skills

  • Strong analytical thinking and problem-solving abilities.
  • Effective cross-functional collaboration with business teams.
  • Ability to organize and present analytical findings.
  • Preparing business review materials (WBRs, MBRs).

Eligibility & Preferences

  • Education Requirement: Bachelor's degree (mandatory specialization not specified).
  • Experience Required: No minimum number of years is specified. Fluency in English and experience with MS Office products are basic requirements.
  • Preferred Qualifications: Moderate or advanced proficiency in SQL and Excel. Knowledge of data pipelining and data extraction. Experience with data mining tools (SQL, SAS, SPSS).

How to Apply

1

Click Apply Button

Scroll down and click the primary orange "Apply Now" button below.

2

Visit Amazon Portal

You will be redirected to the official careers portal. Search for Job ID 10582081 if required.

3

Submit Application

Ensure your resume highlights your SQL, Excel, data analysis, dashboard development, reporting, and business problem-solving skills.


⚠️ Data roles at top MNCs fill up rapidly. Apply as soon as possible.

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