Sr. Business Intelligence Engineer, B2C, Amazon Leo
Amazon is hiring a Sr. Business Intelligence Engineer, B2C, Amazon Leo in Bellevue, United States. It pays $130k-$176k a year and Level rates it ; you can apply on Amazon.
Level's read on this job
- Little AI ●○○○ is how Level rates this role: aI is not part of the work.
- The posting mentions SQL, Quicksight and Treasure Data among its tools and skills.
- Level classes it as a senior role.
- Amazon has 20,000+ other open roles on Level.
AI in this role
Senior Business Intelligence Engineer building analytics, data pipelines, and dashboards for Amazon Leo's marketing engine.
We are seeking a strategic and technical Business Intelligence Engineer to build the analytics and data foundations that power Amazon Leo's global marketing engine. This role is critical in defining how a new Amazon business measures customer behavior, marketing effectiveness, funnel performance, and growth. You will design and build datasets, dashboards, pipelines, and measurement frameworks that enable Marketing, Product, and Leadership teams to make fast, data-driven decisions at scale.
This is a high-impact role requiring both strategic vision and hands-on technical execution. You will own and evolve the backend data architecture within our Customer Dat (Treasure Data), building upon existing foundations as new data sources and use cases emerge. You will design and maintain datasets and pipelines across our B2C tech stack, partnering with Data Engineering and Product teams to ensure complete, accurate, and actionable data across the full customer journey. This role requires collaborative autonomy—you will make independent strategic and technical decisions and drive your work forward with minimal oversight, while actively coordinating with cross-functional partners to ensure alignment and shared success.
Key job responsibilities
* Architect, build, and maintain foundational business datasets across our tech stack and other internal systems to support analytics, reporting, and customer growth use cases.
* Develop SQL-based transformations, data models, and ETL/ELT workflows to structure and unify marketing and customer data for customer lifecycle use cases.
* Design, optimize, and manage Amazon QuickSight dashboards that provide visibility into acquisition performance, attribution, and lifecycle funnels.
* Conduct deep-dive analysis to identify funnel drop-offs, diagnose performance issues, uncover customer insights, and evaluate marketing effectiveness.
* Translate ambiguous business questions into structured analytical approaches, data models, and scalable self-service tools.
* Drive alignment on KPI definitions, measurement frameworks, taxonomy, and data governance across global marketing teams.
* Collaborate closely with Product, Sales Ops, Data Science, and cross-functional partners to support experimentation, segmentation, forecasting, and predictive insights.
* Communicate effectively with senior management audiences (e.g. narratives, inputs into weekly/monthly/quarterly business reviews).* Drive best practices in operational excellence, data modeling, and analysis. Ensure that BI solutions are correctly and efficiently supporting the business.* Participate in hiring activities and mentor junior team members
Export Control Requirement:
Due to applicable export control laws and regulations, candidates must be a U.S. citizen or national, U.S. permanent resident (i.e., current Green Card holder), or lawfully admitted into the U.S. as a refugee or granted asylum.
A day in the life
You will spend part of your day improving the business health data architecture—designing better datasets, cleaning pipelines, and enabling new use cases in the CDP and other internal spaces. Another part of your day will involve partnering with Data Engineering to review instrumentation or troubleshoot data issues. You will also work directly with Marketing and Product teams to conduct deep dives, and design new measurement approaches. You will be a strategic and technical owner ensuring that Amazon Leo Marketing can make accurate, timely, data-driven decisions.
About the team
The Amazon Leo B2C team is responsible for building a world-class experience and driving global demand for a transformational connectivity service. The B2C Analytics team builds the systems, data flows, measurements, and insights that support a multi-LOB global business. We operate with the agility of a startup inside Amazon, partnering closely with Engineering, Product, Science, and global marketing teams to ensure our decisions are grounded in high-quality data.
Basic qualifications
- 6+ years of professional or military experience
- 5+ years of SQL experience
- 1+ years of SQL, ETL or Oracle experience
- 1+ years of processing large, multi-dimensional datasets from multiple sources experience
- 1+ years of performing statistical analysis experience
- 1+ years of developing automated reporting 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 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
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.
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, WA, BELLEVUE - 130,400.00 - 176,300.00 USD annually
How we rate this
Sr. Business Intelligence Engineer, B2C, Amazon Leo 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.
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.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
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 architecture was part of your work. What did you do?
- Tell me about a project where marketing analytics was part of your work. What did you do?
- Tell me about a project where data modeling was part of your work. What did you do?
- Walk me through how you've used SQL in your day-to-day work.
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- List these exact terms on your resume: Business Intelligence, Data Architecture, Marketing Analytics, Data Modeling, 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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