Amazon

Business Analyst II, GPIT

Posted On

May 20, 2025

Location

Bangalore, Karnataka

Experience Level

Freshers/Experienced

Job Type

Corporate Operations

Apply By

July 22, 2025

Job Description

We are seeking an exceptional Business Analyst to drive analysis and insights to help our teams make meaningful, data backed business decisions. The successful candidate will possess strong fervor for analytics, performance evaluation, setting high standards, accuracy and staying ahead of a dynamic and fast-evolving business. You should have excellent communication skills to be able to work with business leaders and share succinct performance insights. Above all, you should be passionate about people, using AI tools and have deep understanding of Amazon performance evaluation principles.

About the team
Global Operations-Artificial Intelligence (GO-AI) is a part of Amazon Robotics (AR), an org, in Fulfillment Technologies & Robotics (FTR). GO-AI enables Computer Vision (CV) and ML based automation by delivering high quality data to improve AI and Machine Learning (ML) product lifecycle through ‘near real-time human-in-the-loop’ (NRT HITL) and offline annotations.- Bachelor's degree or equivalent
- 3+ years of business analyst, data analyst or similar role experience
- 5+ years of Excel (including VBA, pivot tables, array functions, power pivots, etc.) and data visualization tools such as Tableau experience
- Demonstrated proficiency analyzing data, creating dashboard and business reports using SQL
- 3+ years of program management experience, leading projects involving multiple stakeholders
- Proven experience writing scripts using SQL, extracting and analyzing the data to provide precise reports to stakeholders
- Demonstrated ability to maintain high level of integrity and discretion to handle confidential information
- Demonstrated written and verbal communication skills and ability to influence without authority
- Proven ability to present complex information in a clear and concise manner to executives
- Experience defining requirements and using data and metrics to draw business insights and making business recommendations

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