Amazon Business Intelligence Engineer, Last Mile BI

Amazon is hiring a Business Intelligence Engineer for its Last Mile BI team in Bengaluru, Karnataka. The official Amazon Jobs search result lists vacancy 10574388 as posted on 9 October 2026 and identifies it as a full-time role. The detail page currently provides an Apply now action.

This is an experienced analytics opening, not a fresher internship. The basic qualifications include at least two years of analysing and interpreting data with technologies such as Redshift, Oracle or NoSQL, together with visualisation, scripting, statistical analysis and stakeholder-collaboration experience.

Opening details

• Employer: Amazon
• Role: Business Intelligence Engineer, Last Mile BI
• Job ID: 10574388
• Location: Bengaluru, Karnataka, India
• Job category: Business Intelligence
• Job type: Full-time
• Experience: Two or more years in the stated data-analysis area, plus other listed capabilities
• Salary: Not disclosed in the official listing
• Closing date: Not disclosed in the official listing

The listing names Bengaluru but does not explicitly advertise the role as remote or hybrid. A city should not be converted into an unsupported work-mode claim. Applicants should confirm attendance and working-arrangement expectations through the recruitment process.

What the Last Mile BI role supports

The description connects the role to the quality of data used in last-mile delivery decisions. Examples include address accuracy, delivery preferences, access information and operational decisions affecting successful package delivery. The position works with technology, operations and finance stakeholders.

Amazon describes analytical work that informs customer-facing products and quality improvement. The successful candidate will help break complex problems into actionable steps, identify improvement opportunities and communicate findings across a large organisation.

This is not advertised merely as routine spreadsheet maintenance. The source combines reporting and technical data work with experimentation, insight generation and influence on operational or product priorities.

Reporting, dashboards and data pipelines

Key responsibilities include metric reporting, dashboard development, ETL-pipeline design and automation. ETL refers to extracting, transforming and loading data so that it can support analysis or reporting. Candidates should be able to discuss real work they have done in these areas.

The source also lists deep-dive analysis, experiment design and support, insight generation, identifying product-improvement opportunities, sizing opportunities or problems, and supporting anecdotal audits. These tasks connect reliable data with decisions rather than simply producing charts.

The advertisement does not disclose a particular interview exercise, internal dashboard design or production architecture. Applicants should not assume a specific assessment format from the responsibilities alone.

Basic qualifications

The essential list includes at least two years of experience analysing and interpreting data using Redshift, Oracle, NoSQL or similar systems. It asks for data visualisation experience using Tableau, QuickSight or comparable tools, and experience with industry analytics tools such as Excel, Tableau, QuickSight, MicroStrategy or Power BI.

Statistical methods are explicitly relevant. The notice names examples including t-tests, chi-squared methods, A/B testing and regression. It also requires scripting experience in a language such as Python, Java or R.

Applicants need experience building and maintaining data artefacts such as ETL processes, data models and queries, plus a record of generating useful business insights and collaborating with stakeholders. The qualification list should be read as a whole; the two-year threshold is not the only requirement.

Preferred qualifications and communication

A Master’s degree or an advanced technical degree appears under preferred qualifications. It should not be presented as an essential condition that excludes every applicant without that degree. Data modelling, pipeline design, statistical and correlation analysis, and automated custom reporting systems are also preferred capabilities.

The description emphasises communication, technical problem-solving, analytical judgement and working effectively across teams. It also mentions managing expectations, resolving competing needs and sharing project information with stakeholders.

As preparation advice, candidates can organise genuine examples of a reporting system, a pipeline, an experiment or an analysis that influenced a decision. Explain the context, personal contribution and limitations without disclosing confidential employer or customer data. This is general guidance, not an announced Amazon selection task.

Pay, accessibility and application

The official listing does not state compensation or an application deadline. Do not rely on an invented salary estimate or treat an aggregator’s closing date as an official deadline. The live Apply now action is the current application route.

Amazon provides a hiring-accommodations resource for applicants who need a disability-related adjustment, including during interviews or onboarding. Its recruitment notice also warns that Amazon does not ask for fees or deposits during recruitment.

Apply through the official Amazon Jobs listing for job 10574388. Check that your profile accurately reflects the required experience and skills before submitting, and use the official application system for further instructions.

Read the official Amazon Business Intelligence Engineer listing and apply

Applications and requirements can change, so recheck the live notice before completing your submission.