Amazon

Senior Business Intelligence Engineer

Posted On

March 9, 2026

Location

Bengaluru, Karnataka

Experience Level

Freshers/Experienced

Job Type

Data Science

Apply By

March 31, 2026

Job Description

AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we’re the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain and we’re looking for talented people who want to help.

You’ll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You’ll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you’ll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion.

Do you love problem solving? Are you looking for real world Supply Chain challenges? Do you have a desire to make a major contribution to the future, in the rapid growth environment of Cloud Computing?

Amazon Web Services is looking for a highly motivated, analytical and detail oriented candidate to help build scalable, predictive and prescriptive business analytics solutions that supports AWS Supply Chain and Procurement organization. You will be part of the Supply Chain Analytics team working with Global Stakeholders, Data Engineers and Business Analysts to achieve our goals.

The successful candidate will be a self-starter comfortable with ambiguity, with high attention to detail, and a proven ability to work in a fast-paced and ever-changing environment. Candidates must have excellent analytical capabilities, be comfortable diving deep into data, have strong writing skills, lead executive-level reviews, and communicate clearly and effectively to all levels of the company, both in writing and in meetings.

The ideal candidate will not only raise the bar on retrieving and analyzing data but is a person who wants to be an active participant with a strong curiosity to understand the business end-to-end, proactively dive into issues as they arise, and has a track record of using data to influence decision makers.

Key job responsibilities
In this role, you will:

- Understand a broad range of Amazon’s data resources and processes.
- Manipulate/mine data from database tables using SQL, and from log files by writing scripts (e.g. PERL, Python).
- Interface with Global Stakeholders, Data Engineers, and Business Analysts across time zones to gather requirements by asking right questions, analyzing data, and drawing conclusion by making and validating appropriate assumptions.
- Conduct deep dive analyses of business problems and formulate conclusions and recommendations; determine optimized courses of action to deliver comprehensive BI solutions.
- Produce written recommendations and insights for key stakeholders to help shape solution design.
- Design, develop and maintain scalable and reliable analytical tools, dashboards, and metrics that drive key supply chain, and procurement decisions.
- Simplify and automate reporting, metrics and dashboards; build solutions to have maximum scale and self-serviceability by users.
- Recognize and adopt best practices in reporting and analysis: data integrity, test design, analysis, validation, and documentation.
- Handle multiple projects at once, deal with ambiguity and rapidly-changing priorities.

Our environment is fast-paced and requires someone who is a hard-working, and meticulous who gets things done at an effective pace, gets results and is comfortable working with tight deadlines and changing priorities.- Experience in scripting for automation (e.g. Python) and advanced SQL skills.
- Experience in managing teams
- Experience in designing experiments and statistical analysis of results
- Experience working directly with business stakeholders to translate between data and business needs
- 12+ years of Experience in Supply Chain Planning, Operations and Analytics

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