Business Intelligence Engineer, OTS COST, Ops Tech Solutions Delivery

Amazon is hiring a Business Intelligence Engineer, OTS COST, Ops Tech Solutions Delivery. Level rates it ; you can apply on Amazon.

Level's read on this job

Level rates this role Uses AI ●●○○: an ordinary role that requires AI tools.
Tools and skills the posting cites include Redshift, Oracle and Nosql.
Level classifies it as a mid-level role.
Level lists 20,000+ other open roles at Amazon.
The role was posted within the past week.

AI in this role

Build cost-tracking data products, dashboards, and automated reports while utilizing generative AI tools for workflow efficiency.

redshiftoraclenosqltableauquicksightexcelpowerbigenerative-ai

business-intelligencedata-analysissqlautomation

The COST (Cost Optimization, Strategy, and Technology) team within Ops Tech Solutions (OTS) Delivery is seeking a Business Intelligence Engineer to build and own the data products behind its cost work. The COST team delivers cost visibility, savings governance, and free cash flow improvement across a global RME and IT Operations cost base.

Within COST, our team finds savings opportunities, checks whether savings are real, and gives leaders the cost reporting and comparisons they use to make decisions.

You will work with program managers and leaders who use your work to make cost decisions. You take data from our shared data platform and turn it into dashboards, datasets and analysis that people can trust. We use generative AI day to day, alongside SQL and dashboards.

Key job responsibilities
- Build and own dashboards, datasets and reporting that leaders use to understand and manage cost
- Analyze spend data to find trends, anomalies and savings opportunities, and explain what you find to non-technical audiences
- Build the data and checks that show whether savings have actually been delivered
- Automate the team's own manual work, including with generative AI tools, so program managers spend less time on reporting
- Work to the team's priorities, and say early when you think a different piece of work would matter more
- Validate your outputs against source data and business logic, and fix issues at the cause
- Document your products so others on the team can run them
- Work with engineering partners on data sources and data quality

A day in the life
No two days are the same. You might check a data refresh, work with a program manager on whether a spend change is a real cost signal, build a new view for a leadership review, or work through a data issue with an engineering partner. Travel up to 10%.

About the team
We are a small team of program managers and BI, based in Europe and part of OTS Delivery. We work closely with the team that owns our data platform and delivers technical programs, and we document our work so anyone on the team can pick it up.

Basic qualifications

- Experience in analyzing and interpreting data with Redshift, Oracle, NoSQL etc.
- Experience with data visualization using Tableau, Quicksight, or similar tools
- 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)
- Experience with SQL
- Experience building and maintaining basic data artifacts (e.g., ETL, data models, queries)

Preferred qualifications

- Master's degree, or Advanced technical degree
- Knowledge of data modeling and data pipeline design
- Experience with statistical analysis, co-relation analysis
- Knowledge of how to improve code quality and optimizes BI processes (e.g. speed, cost, reliability)
- Experience working with finance or spend data, such as purchase orders, general ledger or cost center data
- Demonstrated experience leveraging generative AI tools to enhance workflow efficiency and productivity, with the ability to craft effective prompts and critically evaluate AI-generated outputs in a professional setting

Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice (https://www.amazon.jobs/en/privacy_page) to know more about how we collect, use and transfer the personal data of our candidates.

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, OTS COST, Ops Tech Solutions Delivery at Amazon rates 45 out of 100 for how much of the daily work is AI. That makes it Uses AI (AI Level 2 of 4). The level is about AI in the job, not seniority.

Classification

Uses AI. An ordinary role that requires AI tools.

●●●● 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, OTS COST, Ops Tech Solutions Delivery is an open job at Amazon.
Level rates this role AI Level 2 of 4: Uses AI.
The role is based in LU, Luxembourg.
The job was posted on October 30, 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 AnalysisSQLAutomationRedshiftOracleNosqlTableau

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 sql was part of your work. What did you do?
Tell me about a project where automation was part of your work. What did you do?
Walk me through how you've used Redshift in your day-to-day work.

Adapt your resume

List these exact terms on your resume: Business Intelligence, Data Analysis, SQL, Automation, and Redshift. 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.
Put the AI tool in a bullet point about what you did, not just in a skills list. This role treats it as a required part of the job.

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