Amazon

Business Analyst II, Profit Intelligence

Posted On

Feb. 19, 2026

Location

Chennai, Tamil Nadu

Experience Level

Freshers/Experienced

Job Type

Business Intelligence

Apply By

March 10, 2026

Job Description

Profit intelligence systems measures, predicts true profit(/loss) for each item as a result of a specific shipment to an Amazon customer. Profit Intelligence is all about providing intelligent ways for Amazon to understand profitability across retail business. What are the hidden factors driving the growth or profitability across millions of shipments each day?

We compute the profitability of each and every shipment that gets shipped out of Amazon. Guess what, we predict the profitability of future possible shipments too. We are a team of agile, can-do engineers, who believe that not only are moon shots possible but that they can be done before lunch. All it takes is finding new ideas that challenge our preconceived notions of how things should be done. Process and procedure matter less than ideas and the practical work of getting stuff done. This is a place for exploring the new and taking risks.

We push the envelope in using cloud services in AWS as well as the latest in distributed systems, forecasting algorithms, and data mining.

Key job responsibilities
1. Develop insights that will help business and operation teams to take strategic decisions that will impact top line or bottom line for the company
2. Work with cross-functional leaders to understand their data needs and partner with them to build data solutions
3. Work with large data sets to extract and transform data using various tools and technologies
4. Transform data into actionable business information, and make it readily accessible to stakeholders worldwide
5. Use data to support ideas, drive actionable outcomes, and provide unique ways to present data and information in an easy to consume format
6. Must be passionate about finding root causes, trends, and patterns and how they impact business.
7. Draw inferences and conclusions, create dashboards and visualizations of processed data
8. Must have business and communication skills to be able to work with product owners to understand key business questions to build reports that enable product owners to answer those questions quickly and accurately
9. Comfortable juggling competing priorities and handling ambiguity
10. Thrive in an agile and fast-paced environment on highly visible projects and initiatives
11. Keen to solve unstructured/ambiguous problems

A day in the life
As a Business Analyst, you will help develop an analytic solution to drive deep dives, provide insights into the health and state of the Operations and measure business impact. You will transform data into actionable business information, and will make it readily accessible to stakeholders worldwide. You will own the design, creation, and management of extremely large datasets. From Day 1, you will be challenged with a variety of tasks, ranging from creating datasets, reports, dashboards to metadata modeling, pipeline monitoring. You will interact with internal program and product owners, and technical teams to gather requirements, structure scalable and perform data solutions, and gain a deep understanding of key datasets. You will design, implement and drive adoption of new analytic technologies and solutions and promote industry standard best practices. You will be responsible to tune query performance against large and complex data sets. You will help translate analytical insights into concrete, actionable recommendations for business or product improvement.- 3+ years of tax, finance or a related analytical field experience
- 3+ years of Excel (including VBA, pivot tables, array functions, power pivots, etc.) and data visualization tools such as Tableau experience
- 3+ years of business or financial analysis experience
- Bachelor's degree or equivalent
- Experience defining requirements and using data and metrics to draw business insights
- Experience with Excel
- Experience with SQL
- Experience making business recommendations and influencing stakeholders

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