Business Intelligence Engineer, AOP

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

Level's read on this job

Level rates this role Little AI ●○○○: aI is not part of the work.
Tools and skills the posting cites include SQL, BI Tools and business intelligence.
Level classifies it as a mid-level role.
Level lists 21,000+ other open roles at Amazon.

AI in this role

Build scalable BI solutions, automated data processes, and analytical frameworks to support operations decision-making.

sqlbi-tools

business-intelligencedata-analysisproject-managementprocess-optimization

Analytics Operations & Programs team in Bangalore is looking for an innovative, hands-on and customer-obsessed Business Intelligence Engineer. Candidate must be detail oriented, have superior verbal and written communication skills, strong organizational skills, excellent technical skills and should be able to juggle multiple tasks at once. Ideal candidate must be able to identify problems before they happen and implement solutions that detect and prevent outages. The candidate must be able to accurately prioritize projects, make sound judgments, work to improve the customer experience and get the right things done. This job requires you to constantly hit the ground running and have the ability to learn quickly. Primary responsibilities include defining the problem and building analytical frameworks to help the operations to streamline the process, identifying gaps in the existing process by analyzing data and liaising with relevant team(s) to plug it and analyzing data and metrics and sharing update with the internal teams.

Key job responsibilities
• Build scalable, efficient, and automated data processes to inform business decision making.
• Own the design, development, and maintenance of ongoing BI solutions, metrics, reports, etc. to drive key business decisions.
• Work with teams in the organization to identify opportunities and build analytical solutions that provide them with decision making capabilities and insights.
• Ensure data accuracy by validating data for new and existing tools.
• Root cause analysis and uncovering core issues using data, then assisting to create new measures for the wider Amazon team
• Manage and execute entire projects from start to finish including project management, data gathering and manipulation, synthesis and modeling, problem solving, and communication of insights and recommendations.
• Collaborate with Product and Program management teams to design analytics frameworks that will support large-scale data-analysis and on-ground corrective actions.
• Collaborate with Business Analysts, Data Engineers, Software Development Engineers, and business stakeholders to understand requirements, validate data quality, and ensure deliverables align with expectations.

A day in the life
1) Solve ambiguous analyses with less well-defined inputs and outputs; drive to the heart of the problem and identify root causes
2) Have the capability to handle large data sets in analysis through the use of additional tools
3) Derive recommendations from analysis that significantly impact a department, create new processes, or change existing processes
4) Understand the basics of test and control comparison; may provide insights through basic statistical measures such as hypothesis testing
5) Identify and implement optimal communication mechanisms based on the data and the stakeholders involved
6) Communicate complex analytical insights and business callouts effectively

About the team
AOP (Analytics Operations and Programs) team is missioned to standardize BI and analytics capabilities, and reduce repeat analytics/reporting/BI workload for operations across multiple geographies.

AOP is responsible to provide visibility on operations performance to improve network efficiency and defect reduction. The team has a diverse mix of engineers, Analysts and Scientists who champion customer obsession.

We enable operations to make data-driven decisions through developing near real-time dashboards, self-serve dive-deep capabilities and building advanced analytics capabilities.

We identify and implement data-driven metric improvement programs in collaboration (co-owning) with Operations teams.

Basic qualifications

- 2+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
- Experience with one or more industry analytics visualization tools (e.g. Excel, Tableau, QuickSight, MicroStrategy, PowerBI) and statistical methods (e.g. t-test, Chi-squared)
- Experience with scripting language (e.g., Python, Java, or R)
- Knowledge of how to improve code quality and optimizes BI processes (e.g. speed, cost, reliability)

Preferred qualifications

- Master's degree, or Advanced technical degree
- Knowledge of data modeling and data pipeline design
- Experience with statistical analysis, co-relation analysis

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, AOP at Amazon rates 0 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

●●●● 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, AOP is an open job at Amazon.
Level rates this role AI Level 1 of 4: Little AI.
The role is based in IN, KA, Bengaluru.
The job was posted on October 8, 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 AnalysisProject ManagementProcess OptimizationSQLBI Tools

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 analysis was part of your work. What did you do?
Tell me about a project where project management was part of your work. What did you do?
Tell me about a project where process optimization was part of your work. What did you do?
Walk me through how you've used SQL in your day-to-day work.

Adapt your resume

List these exact terms on your resume: Business Intelligence, Data Analysis, Project Management, Process Optimization, and SQL. 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.

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