Business Intelligence Engineer

Amazon is hiring a Business Intelligence Engineer in Bengaluru, India. Level rates it ; you can apply on Amazon.

Level's read on this job

On Level's scale, this role is Works on AI ●●●○: the daily work is on AI products, without building the model.
The posting mentions SQL, Generative AI and LLMs among its tools and skills.
Level classes it as a mid-level role.
Amazon has 21,000+ other open roles on Level.

AI in this role

Build data infrastructure and apply generative AI tools to improve analytics productivity and customer service insights.

sqlgenerative-aillms

business-intelligencedata-engineeringa-b-testingmetrics-frameworksanalytics

Customer Experience Products (CXP) is part of Amazon's Customer Service (CS) organization, focused on measuring and improving every customer service interaction across chat, voice, bots, and digital self-service. Our BIEs sit at the intersection of data engineering, analytics, and product: we build the data infrastructure, metrics frameworks, and decision-support surfaces that CS leadership relies on to evaluate performance, shape OP planning, and drive customer-facing product improvements.

You will join a team of data engineers, BIEs, and analysts who own the full analytics lifecycle for CXP. From clickstream ingestion through semantic modeling to VP-level dashboards, the work you do here directly shapes how Amazon understands and improves the customer service experience.

Key job responsibilities

- Engage closely with Engineers, Scientists, and Data Engineers on developing BI and analytics solutions to support customer-facing CS products
- Support A/B experiment feature testing and analysis
- Build and analyze key metrics to uncover trends and root causes of issues
- Own the design, development, and maintenance of ongoing data pipelines, metrics, reports, visualizations, analyses, and dashboards to drive business decisions
- Help define requirements around customer service interactions and establish actionable insights
- Apply generative AI tools and techniques (such as LLM-based summarization, natural language querying, and automated insight generation) to improve analytics productivity and stakeholder self-service capabilities
- Partner with cross-functional teams to instrument new data collection, close measurement gaps, and build unified views of customer journeys across products and channels

A day in the life

We thrive on solving challenging problems to innovate for our customers. By pushing the boundaries of technology, we create unparalleled experiences that enable us to rapidly adapt in a dynamic environment. Our decisions are guided by data, and we collaborate with engineering, science, and product teams to foster an innovative learning environment.

If you are not sure that every qualification on the list above describes you exactly, we'd still love to hear from you. At Amazon, we value people with unique backgrounds, experiences, and skillsets. If you're passionate about this role and want to make an impact on a global scale, please apply.

Basic qualifications

- 5+ years of SQL experience
- Experience programming to extract, transform and clean large (multi-TB) data sets
- Experience with theory and practice of design of experiments and statistical analysis of results
- Experience with AWS technologies
- Experience in scripting for automation (e.g. Python) and advanced SQL skills.
- Experience with theory and practice of information retrieval, data science, machine learning and data mining

Preferred qualifications

- Experience working directly with business stakeholders to translate between data and business needs
- Experience managing, analyzing and communicating results to senior leadership

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

How we rate this

Business Intelligence Engineer at Amazon rates 65 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.

Classification

Works on AI. The daily work is on AI products, without building the model.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Key facts

Business Intelligence Engineer is an open job at Amazon.
Level rates this role AI Level 3 of 4: Works on AI.
The role is based in IN, KA, Bengaluru.
The job was posted on October 5, 2026.
Seniority: mid.
Applications are handled by Amazon. Apply on Amazon

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

Business IntelligenceData EngineeringA B TestingMetrics FrameworksAnalyticsSQLGenerative AILLMs

Questions you could be asked

Tell me about a project where business intelligence was part of your work. What did you do?
Tell me about a project where data engineering was part of your work. What did you do?
Tell me about a project where a b testing was part of your work. What did you do?
Tell me about a project where metrics frameworks was part of your work. What did you do?
Tell me about a project where analytics was part of your work. What did you do?

Adapt your resume

List these exact terms on your resume: Business Intelligence, Data Engineering, A B Testing, Metrics Frameworks, and Analytics. An applicant tracking system matches the wording, not the idea.
Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.

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