Amazon logo

Senior Business Intelligence Engineer III, Rapid and Rural Logistics

Amazon

New York, NYJob$143–194K/yrSeen 1w agoSeen in employer's feed 5 days ago

Most applications go out cold — see where you stand first. No sign-up to start.

Watch jobs like this.

At a glance

Compensation
$143–194K/yr
Location
New York, NY
Work Authorization
Not specified

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

Job overview

The Senior Business Intelligence Engineer will own and evolve reporting solutions, Airflow-orchestrated data pipelines, and algorithmic data products. The role partners with quality, supply chain, software, and program teams to turn operational problems into automated, self-service analytics. The R2L Analytics team provides data infrastructure and reporting and analytics support for Amazon’s rapid and rural logistics organization.

Skills & qualifications

RequiredNice to have

Skills

Large Dataset ProcessingStatistical AnalysisAutomated ReportingSQLETLOracleData ExtractionData TransformationData CleaningAWSScriptingPythonAdvanced SQLStakeholder TranslationResults Communication

Qualifications

5+ Years Professional Experience1+ Years Large Dataset Processing1+ Years Statistical Analysis1+ Years Automated Reporting5+ Years SQL, ETL, or Oracle ExperienceBachelor's in Statistics, Data Science, or Quantitative Field

Benefits

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

Full job description

Description

We are looking for a Senior Business Intelligence Engineer to own and evolve our portfolio of reporting solutions, Airflow-orchestrated data pipelines, and algorithmic data products. You'll partner with stakeholders across quality, supply chain, and software teams to translate operations problems into automated, self-service analytics that directly impact quality and efficiency.

Key job responsibilities

  • Data architecture design — determine the right data foundations necessary to solve team-wide business problems

  • Team development — operate as a team-wide resource for BI best practices and cross-team productivity improvements

  • Dashboard Development & Maintenance — Design, build, and maintain QuickSight dashboards across domains

  • Data Pipeline Engineering — Build and optimize ETLs, ensuring data freshness and reliability for operational decision-making

  • Algorithm & Data Product Development — Develop and maintain data products such as ranking algorithms and root cause assessment

  • Metric Onboarding — Onboard and maintain metrics in platforms like Perfect Mile for SSD buildings

  • Data Quality & Monitoring — Own pipeline health monitoring, alerting, and incident response for Sev 3 production dashboards

  • Stakeholder Partnership — Work directly with program teams to translate business requirements into scalable analytical solutions

A day in the life

Amazon offers a full range of benefits that support you and eligible family members, including domestic partners and their children. Benefits can vary by location, the number of regularly scheduled hours you work, length of employment, and job status such as seasonal or temporary employment.

The benefits that generally apply to regular, full-time employees include:

  • Medical, Dental, and Vision Coverage

  • Maternity and Parental Leave Options

  • Paid Time Off (PTO)

  • 401(k) Plan

If you are not sure that every qualification on the list above describes you exactly, we'd still love to hear from you!

At Amazon, we value people with unique backgrounds, experiences, and skillsets. If you’re passionate about this role and want to make an impact on a global scale, please apply!

About the team

R2L is a consolidated organization within Amazon that was established in 2023 and is comprised of multiple high growth operational businesses, including Sub Same Day - Fulfillment Centers (SSD-FC), Sub Same Day - Distribution Centers (SSD-DC), and corporate and technical support branches. R2L owns the end-to-end customer fulfillment aspects of these businesses, including supply chain planning, distribution, central programs, delivery, technology, and central operations. The goal of R2L is to improve speed and customer experience, making it one of the most prominent growth engines for Amazon, with SSD-FC and RSR poised to grow by over 2X in the next 3 years. R2L currently operates in North America (US).

R2L Analytics team is responsible for providing Data Infrastructure and supporting Reporting & Analytics for R2L organization.

Basic Qualifications

  • 5+ years of professional or military 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

  • 5+ years of using SQL, ETL (Extract, Transform, Load), or Oracle experience

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

  • Experience with AWS technologies

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

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

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, NY, New York - 143,400.00 - 194,000.00 USD annually

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

How this job compares

Set against the 5,771 open Data Engineer jobs on Olive Jobs, counted October 27, 2026.

Pay
  • This posting$143–194K/yr
  • New York median$147–212K/yr363 salary ranges
  • US median$125–208K/yr4,400 salary ranges

This range's midpoint, $169K, is 5% below the New York median midpoint ($178K) — in the middle half of Data Engineer salary ranges in New York.

Openings
Olive Jobs lists 485 open Data Engineer jobs in New York and 5,771 across the US. 8% of them nationwide are listed as remote or flexible.
Hiring the most in New York
Experience
This posting asks for at least 5 years of experience; Data Engineer postings that state a minimum ask for 5 years at the median (5,003 postings).
Education
2,686 of the 5,771 open Data Engineer jobs (47%) ask for a bachelor's degree or higher.

Counted across the open, public US postings on Olive Jobs on October 27, 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.

Similar jobs, posted recently

Open roles like this one, listed in the last 30 days.

You've read the whole posting — now see how you match it.