Amazon

Business Analyst Support, Amazon Freight

Posted On

Jan. 29, 2026

Location

Bengaluru, Karnataka

Experience Level

Freshers/Experienced

Job Type

Fulfillment & Operations Management

Apply By

Feb. 24, 2026

Job Description

Job Title: Business Analyst, Amazon Freight

About the Role: The candidate would be responsible for maintaining/refreshing WBRs and other analytical frameworks. They would also be required to build simple reports, take up dive deep requests, make changes to existing analytical frameworks and provide adhoc data support to stakeholders. The person should have a good understanding of a business requirement and the ability to quickly get to the root cause of a particular reporting/BI/data issue, and draft solutions for resolution. The ideal candidate would be high on attention to detail, bias for action and interest in analytics/BI/automation.

This Role is Right for You If: • You enjoy working with technology • You're good at solving problems • You work well with different types of teams • You can explain complex ideas simply • You like improving how things work.

Key job responsibilities
- Own the design, development, and maintenance of ongoing metrics, reports, analyses, dashboards, etc. to drive key business decisions. Ensure data accuracy by validating data for new and resources.
- Work closely with stakeholders (internal/external) to understand and automate/enhance existing processes
- Should be open to learn and develop skillsets in the latest technologies and analytical techniques
- Should understand how data/analytical frameworks and their work translate to business on ground
- Should be able to come up with innovative ideas for new work or to improve existing work

A day in the life
• Work with different teams to create tools/dashboards that help our operations run better
• Lead projects that make our operations more efficient
• Help solve problems and make improvements to how we work
• Keep track of how well new tools and systems are working - Bachelor's degree
- Knowledge of data pipelining and extraction using SQL
- Knowledge of SQL and Excel at a moderate or advanced level

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