Business Intelligence Engineer, Key

Amazon is hiring a Business Intelligence Engineer, Key in Sunnyvale, United States. It pays $115k-$185k a year and 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, Python and Redshift among its tools and skills.
Level classes it as a mid-level role.
Amazon has 21,000+ other open roles on Level.
Posted within the past week.

AI in this role

Build and maintain BI systems, automated data pipelines, and AI-assisted analytics for last-mile delivery operations.

sqlpythonredshiftmysqlquicksighttableauaws

ai-agentsbusiness-intelligencedata-engineeringetldata-analysismetrics-development

Come join the Amazon Key for Business team and help drive the transformation of our customer delivery experience at scale. Key for Business, our patented building access technology, supports Amazon Last Mile across the US. Ring SMB extends this ecosystem to small and medium businesses with security, access control, and subscription-based services.

We are looking for a Business Intelligence Engineer to join our Key Data & BI team and help inform the direction of Ring SMB and Key for Business through data, at scale. This role spans two high-impact business verticals — Ring SMB and KfB NA-Multifamily — and sits at the center of the team’s AI-first transformation, where production AI agents, automated ETL workflows, and AI-assisted analytics are how work gets done today.

Successful candidates will be comfortable creating and optimizing table structures, identifying KPIs that drive the business, generating reports consumed across the organization, analyzing data to inform strategic and tactical initiatives, and writing up findings for less-technical audiences. Strong SQL is a must. AI fluency, scripting skills, and a background in operations or product analytics are extremely valuable.

This is a highly visible role that partners with business, product management, operations, finance, marketing, and engineering teams across Key for Business and Ring SMB

Key job responsibilities
• Design, implement, and support data platforms providing ad hoc and scheduled access to large datasets

• Manipulate and mine data from database tables (Redshift, MySQL, QuickSight SPICE) using SQL and ETL pipelines; write scripts (Python, UNIX) to process log files and telemetry data at scale.

• Develop and own analytical tools including deep-dive tools, dashboards (QuickSight, Tableau), Page 0 reporting surfaces, and executive-ready metric visualizations.

• Own and deliver weekly (WBR), monthly (MBR), and quarterly (QBR) executive reporting with data pulls, narrative insights, and metric deep dives

• Monitor existing metrics, develop and propose new metrics, and identify actionable risk signals

• Lead LTV analyses to inform promotional strategy, campaign measurement, and business decisions

• Perform deep-dives and root cause analysis to answer business questions; complete ad hoc data retrieval and analysis for product, finance, marketing, and operations stakeholders.

• Work with cross-functional stakeholders to define the source of truth for business metrics and obsessively ensure data fidelity across verticals.

• Effectively communicate (written and verbal) analytical findings, solutions, and methodologies to senior leadership and less-technical audiences.

• Work with engineering teams to enable appropriate capture and storage of data, including PII/non-PII data governance and compliance.

• Create and contribute to the team’s production AI agent ecosystem by feeding accurate datasets, metric definitions, and knowledge base content to agents

• Support metric framework development and provide foundational BI signals

• Leverage and extend AI-assisted workflows for automated ETL, TextQL for ad-hoc analysis, and the Skill Markdown Methodology for encoding domain knowledge into AI agents.

Basic qualifications

- 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
- Experience with data visualization using Tableau, Quicksight, or similar tools
- Experience with data modeling, warehousing and building ETL pipelines
- Experience in Statistical Analysis packages such as R, SAS and Matlab
- Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling

Preferred qualifications

- Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift
- Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets

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

Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

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.

The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.

USA, CA, Sunnyvale - 114,500.00 - 185,000.00 USD annually
USA, WA, Bellevue - 99,500.00 - 160,000.00 USD annually

How we rate this

Business Intelligence Engineer, Key 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, Key is an open job at Amazon.
Level rates this role AI Level 3 of 4: Works on AI.
The listed salary is $115k-$185k a year.
The role is based in US, CA, Sunnyvale.
The job was posted on October 19, 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

AI agentsBusiness IntelligenceData EngineeringETLData AnalysisMetrics DevelopmentSQLPython

Questions you could be asked

How do you decide when an AI agent can act on its own versus asking for approval first?
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 etl 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?

Adapt your resume

List these exact terms on your resume: AI agents, Business Intelligence, Data Engineering, ETL, and Data Analysis. 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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