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Amazon is Hiring Business Analyst I

WHS WESE Team • Bengaluru, Karnataka

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Full-Time
Bengaluru, India
Job ID: 10571223

Experience
1+ Year
Qualification
Bachelor’s Degree
Salary (Est.)
₹8–₹14 LPA
Work Mode
Not Specified
Student 1 Student 2 Student 3
Trusted by 1667+ Working Professionals

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 hiring a Business Analyst I for its Workplace Health & Safety (WHS) organization in Bengaluru. The role is part of the Worldwide Ergonomics and Safety Experience (WESE) team's Insight and Analysis function, which provides analytical and operational insights to support safety programs and business decisions.

The Business Analyst will use data, SQL, spreadsheets, automation and AI tools to solve business problems, identify trends and root causes, improve reporting visibility and develop scalable solutions. The role also involves partnering with program managers, stakeholders and technology teams to automate manual processes and improve operational efficiency.

Key Responsibilities

  • Develop analytics solutions to solve business problems by extracting and transforming data using spreadsheets, SQL and relevant tools.
  • Perform descriptive analysis to understand business impact and identify drivers, trends and anomalies in business data.
  • Generate insights to support team and stakeholder decisions while identifying new opportunities through data analysis.
  • Document metric definitions, analytical logic, assumptions and data sources.
  • Partner with technology teams to improve portals, dashboards and online tools, and validate business and technical logic.
  • Communicate analytical findings through written and verbal channels.
  • Learn and apply AI best practices to improve team efficiency and build mechanisms that reduce manual effort.
  • Partner with program managers and stakeholders to translate business needs into analytical and technical solutions.
  • Analyze data to identify root causes and provide actionable recommendations.

Skills & Technologies

Core Technical Skills

SQL Python Tableau Power BI / BI Tools AWS Services QuickSight ETL Processes VBA & Macros Selenium Scripts

Data & Analytics Capabilities

Data Transformation Descriptive Analysis Business Metrics AI Tools & Best Practices Analytical Reporting

Professional Skills

  • Analytical and problem-solving ability with automation mindset.
  • Ability to translate complex concepts into clear insights.
  • Strong written and verbal communication for stakeholders.
  • Ability to navigate ambiguity and learn new technologies.

Eligibility & Preferences

  • Education Requirement: Bachelor’s Degree in Business, Computer Science, Data Engineering, Economics, Finance, Engineering, Mathematics, Statistics or related field.
  • Experience Required: 1+ year of experience in tax, finance or a related analytical field. Experience defining requirements and using data and metrics to generate business insights.
  • Preferred Qualifications: Experience working with very large datasets, knowledge of NLP and text processing. Online portfolio demonstrating relevant analytical or technical work is a plus.

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 10571223 if required.

3

Submit Application

Ensure your resume highlights your SQL, Data Analysis, BI Tools, and Business problem-solving skills before submitting.


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

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