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Senior Business Intelligence Engineer, North America Supply Chain Execution Strategy

Amazon

Arlington, VAJob$130–176K/yrSeen 1w agoSeen in employer's feed 6 days ago

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At a glance

Compensation
$130–176K/yr
Location
Arlington, VA
Work Authorization
Not specified

Olive lists jobs from US employers, including remote roles you can work from the United States.

Job overview

Amazon seeks a Senior Business Intelligence Engineer to advance AI-driven analytics and support executive business decisions. The role defines scalable processes, develops tools and automated reporting solutions, and analyzes product and program metrics across business units. It also partners with product managers and stakeholders to translate business problems into data requirements, improve self-service analytics, and promote effective use of AI.

Skills & qualifications

RequiredNice to have

Skills

AI Tool Development, requiredExecutive Communication, requiredLarge Dataset Processing, requiredData Analysis, requiredBusiness Intelligence, requiredBusiness Stakeholder Translation, nice to haveAWS Technologies, nice to haveCloud Storage and Computing, nice to haveAWS Redshift, nice to haveAmazon S3, nice to haveHadoop, nice to havePython, nice to haveAdvanced SQL, nice to haveAutomated Reporting, nice to haveStatistical Analysis, nice to haveData Extraction, nice to haveData Transformation, nice to haveData Cleaning, nice to have

Qualifications

5+ Years Data Analyst or Related Experience, requiredBachelor's in Computer Science or Related, requiredMaster's in Statistics or Quantitative Field, nice to have

Benefits

Medical Insurance
Dental Insurance
Vision Insurance
401(k) Match
Paid Time Off
Parental Leave

Full job description

Description

We are looking for a Senior Business Intelligence Engineer (BIE) to drive the use of AI in analytics with high exposure to executive level business decision making support. In this role you will define and implement scalable processes, diving deep into the product and program metrics globally across multiple business units. You will apply both business and technical acumen in a fast-paced, ambiguous and innovative environment.

Key job responsibilities

  • Design and build AI tools that derive actionable insights from some of the world’s largest datasets

  • Own the design and development of automated solutions for recurrent reporting and in-depth analyses including learning, publishing, and managing our operational business metrics decks

  • Drive continuous improvement of our analytical processes by automating, scaling, and simplifying self-service support for our customers

  • Invent new ways to explore our data and work with Product Managers to identify opportunities and transform business problems into defined data and reporting requirements

  • Recognize and adopt best practices in reporting and analysis: data integrity, test design, analysis, validation, and documentation

A day in the life

Your day will be a blend of technical investigation and collaborative problem-solving. You'll dive deep into the problems our stakeholders are facing, and design tech solutions to solve them. You will teach your teammates how to better use the latest technologies such as AI, both in their internal processes and outwardly with their stakeholder-facing products.

When stakeholders come to you with problems, you will be expected to find a sustainable solution that prevents the problems from surfacing again.

You will turn complex input metrics into actionable insights that drive high-impact business outcomes. Expect to engage in cross-functional discussions, influence executive leadership, and develop strategies to enhance org-wide AI effectiveness.

About the team

We are a collaborative group of technology and business experts dedicated to pushing the boundaries of AI performance optimization. Our team thrives on innovation, continuous learning, and creating transformative solutions that make a tangible impact across various business domains. We value diverse perspectives and empower team members to contribute unique insights that drive our collective success.

Basic Qualifications

  • 5+ years of as a Data Analyst, Data Engineer, Business Intelligence Analyst, or a related occupation experience

  • Experience creating AI-based tools that are used by non-technical stakeholders at an executive level

  • Experience managing, analyzing and communicating results to executive leadership

  • Experience processing large, multi-dimensional datasets from multiple sources

  • Experience in the data/BI space

  • Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, Statistics, Economics, or a related field

Preferred Qualifications

  • Experience working directly with business stakeholders to translate between data and business needs

  • Experience with AWS technologies

  • Experience using Cloud Storage and Computing technologies such as AWS Redshift, S3, Hadoop, etc.

  • Experience in scripting for automation (e.g. Python) and advanced SQL skills.

  • Master's degree in statistics, data science, or an equivalent quantitative field

  • Experience developing automated reporting

  • Statistical analysis experience

  • Experience programming to extract, transform and clean large (multi-TB) data sets

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, AZ, Tempe - 130,400.00 - 176,300.00 USD annually

USA, TN, Nashville - 123,800.00 - 167,500.00 USD annually

USA, TX, Austin - 130,400.00 - 176,300.00 USD annually

USA, VA, Arlington - 130,400.00 - 176,300.00 USD annually

USA, WA, Bellevue - 130,400.00 - 176,300.00 USD annually

How this job compares

Set against the 5,368 open Data Analyst jobs on Olive Jobs, counted November 12, 2026.

Pay
  • This posting$130–176K/yr
  • Virginia median$103–155K/yr291 salary ranges
  • US median$87–132K/yr3,577 salary ranges

This range's midpoint, $153K, is 20% above the Virginia median midpoint ($128K) — in the middle half of Data Analyst salary ranges in Virginia.

Openings
Olive Jobs lists 389 open Data Analyst jobs in Virginia and 5,368 across the US. 7% of them nationwide are listed as remote or flexible.
Hiring the most in Virginia
Experience
This posting asks for at least 5 years of experience; Data Analyst postings that state a minimum ask for 4 years at the median (4,231 postings).
Education
2,184 of the 5,368 open Data Analyst jobs (41%) ask for a bachelor's degree or higher.

Counted across the open, public US postings on Olive Jobs on November 12, 2026. Pay medians are the middle values of the low ends and of the high ends of postings that list both ends of a range in the same cadence (a yearly salary or an hourly rate); a range's midpoint is halfway between its ends. Pay and experience figures resting on fewer than 20 postings are left out.

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