AmazonPosted 4w ago

Business Intelligence Engineer, BAT, Data & Analytics

Business Intelligence Engineer, BAT, Data & Analytics at Amazon scores 47 out of 100 on AI centrality, which makes it AI Level 2 of 4 (Uses AI) on this board. The level measures how much of the work is AI, not seniority.

GB, Londonfull-time

AI in this role

claude

ai-agents

The ideal candidate has experience working with large datasets and distributed computing technologies. They relish working with large volumes of data, enjoy the challenge of highly complex technical contexts, and above all else are passionate about data and analytics. They are expert in data modelling, ETL design, and business intelligence tools, with hands-on knowledge of columnar databases such as Redshift and other related AWS technologies. They partner passionately with customers to identify strategic opportunities in the field of decision intelligence.

Beyond traditional BI expertise, our team operates heavily within the agentic and generative AI space. The ideal candidate brings genuine curiosity and a builder mindset towards Amazon's AI ecosystem:

- AI-assisted development: High proficiency using Kiro/Claude as daily development tools not just prompting, but leveraging AI to accelerate pipeline development, data analysis, and automation
- Skills & agents: Hands-on experience building AI skills and agents within the Amazon internal ecosystem (AIM, MCP integrations), or a strong desire to learn
- Amazon Q & Quick AI Features: Familiarity with surfacing data insights through AI-powered experiences and understanding how these tools augment BI workflows
- AgentCore/Strands Agents: Exposure to agentic architectures is a strong plus understanding how to orchestrate AI agents for complex data workflows
- Builder mentality: You don't just use AI tools, you extend them, create reusable components, and proactively look for opportunities to apply AI to solve business problems

They are a self-starter, comfortable with ambiguity, able to think big while paying careful attention to detail, and enjoy working in a fast-paced team that continuously learns and evolves on a day-to-day basis.

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 in the data/BI space

Preferred qualifications

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

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.

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

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.

Prepare for this job

A free preview built only from this posting: what it asks for, what you could be asked in an interview, and how to adjust your resume.

Skills and AI tools this role asks for

AI AgentsClaude

Questions you could be asked

How do you decide when an AI agent can act on its own versus asking for approval first?
Walk me through how you've used Claude in your day-to-day work.
This role expects you to use AI tools as part of the job. Which ones have you used, and for what?
Tell me about a time an AI tool got something wrong. How did you catch it?

Adapt your resume

List these exact terms on your resume: AI Agents and Claude. 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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