Amazon logo

Business Intelligence Engineer III, ORBIT - Capacity Planning BI

Amazon

Austin, TXJob$130–176K/yrSeen todaySeen in employer's feed today

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

You apply on the employer's site, with no Olive account needed.

Watch jobs like this.

Don't just apply. Show up ready.

Olive works from this exact posting.

At a glance

Compensation
$130–176K/yr
Location
Austin, TX
Work Authorization
Not specified

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

Requirements

Credentials this posting asks for.

Bachelor's degree

Job overview

Amazon Logistics seeks a Business Intelligence Engineer for its ORBIT Capacity Planning BI team. The role partners with business and technical teams to build analytical products and provide insights for capacity planning and last-mile delivery. The engineer analyzes large-scale logistics data, develops queries and visualizations, and supports planning, execution, and process improvement. The position also leads and develops a team of Business Intelligence Engineers and Business Analysts.

Skills & qualifications

RequiredNice to have

Skills

SQLETLOracleLarge Dataset ProcessingStatistical AnalysisAutomated ReportingData ExtractionData TransformationData CleaningExperiment DesignAWSPythonInformation RetrievalData ScienceMachine LearningData MiningStakeholder TranslationResults Communication

Qualifications

10+ Years Professional Experience5+ Years SQL Experience1+ Years SQL, ETL or Oracle Experience1+ Years Multidimensional Dataset Processing1+ Years Statistical Analysis Experience1+ Years Automated Reporting Experience5+ Years Data Analyst or Related ExperienceBachelor's in Listed or Related FieldExperience Managing and Communicating Results

Benefits

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

Full job description

Description

Business Intelligence - Amazon Logistics:

Have you ever ordered a product on Amazon and when that box with the smile arrived you wondered how it got to you so fast? Have you wondered where it came from and how much it cost Amazon to deliver it to you? If so, the WW Amazon Logistics, Last Mile team is for you. We manage the delivery of tens of millions of products every week to Amazon’s customers, achieving on-time delivery in a cost-effective manner to deliver a smile for our customers.

Amazon Logistics is looking for a customer focused, analytically and technically skilled Business Intelligence Engineer to drive effective performance measurement and management, innovation and execution in last mile delivery.

The successful candidate will be able to effectively retrieve, integrate, visualize and present critical data to improve the efficiency of the package delivery network, and enable efficient management of a large global logistics system. This individual will work with technical and business teams to optimize planning, execution, process improvement and track progress against goals. This role requires an individual with excellent analytical abilities as well as outstanding business acumen and comfort with technical teams and systems. The successful candidate will be a self-starter comfortable with ambiguity, with strong attention to detail, and enjoy working with large scale of data.

Core Job Responsibilities include:

  • Partner with internal stakeholders across multiple teams, gathering requirements and delivering complete solutions

  • Partner with Data Engineering and Software Development Engineers to prioritize and define AMZL data and BI development needs

  • Work with in-house scientists, global supply chain, transportation and logistics teams to identify new BI capabilities and projects

  • Conduct deep dive investigations into operations execution and business problems, identify opportunities, and lead or support implementation (role varies by opportunity).

  • Analyse and visualize large scale geo-spatial logistics and transaction data to determine user behavior or delivery process problems, and output solid analysis report with recommendation.

  • Serve as liaison between the WW Planning and Analytics team and the operations business teams to achieve the goal of providing actionable insights into current delivery performance, and ad hoc investigations into future improvements or innovations. This will require data gathering and manipulation, synthesis and modeling, problem solving, and communication of insights and recommendations.

  • Develop queries and visualizations for ad-hoc requests and projects, as well as ongoing reporting.

Key job responsibilities

Partner with internal stakeholders across multiple teams, gathering requirements and delivering end to end solutions

Partner with Data Engineering and Software Development Engineers to prioritize and define AMZL data and BI development needs

Work with in-house scientists, global supply chain, transportation and logistics teams to identify new BI capabilities and projects

Lead and develop a team of Business Intelligence Engineers and Business Analysts

Conduct deep dive investigations into operations execution and business problems, identify opportunities, and lead or support implementation (role varies by opportunity)

Analyze and visualize large scale geo-spatial logistics and transaction data to articulate user behavior or delivery process problems, and output solid analysis report with recommendation.

Serve as liaison between the WW Planning and Analytics team and the operations business teams to achieve the goal of providing actionable insights into current delivery performance, and ad hoc investigations into future improvements or innovations. This will require data gathering and manipulation, synthesis and modeling, problem solving, and communication of insights and recommendations

Develop queries and visualizations for ad-hoc requests and projects, as well as ongoing reporting

About the team

This role is within broader Amazon Logistics (AMZL) ORBIT (Operations Reporting, Business Intelligence, and Technology) team working under the WW Capacity Planning BIA team.

The WW Capacity Planning BI & Analytics team partners with the business and BI teams across AMZL Business to build analytical products and generate business insights that help these planning teams produce accurate and optimal capacity within the intra-week, short-term, and mid-term planning horizons.

Basic Qualifications

  • 10+ 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

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

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

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

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

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

How this job compares

Set against the 5,226 open Data Analyst jobs on Olive Jobs, counted November 7, 2026.

Pay
  • This posting$130–176K/yr
  • Texas median$85–136K/yr158 salary ranges
  • US median$89–134K/yr3,294 salary ranges

This range's midpoint, $153K, is 36% above the Texas median midpoint ($112K) — in the top quarter of Data Analyst salary ranges in Texas.

Openings
Olive Jobs lists 323 open Data Analyst jobs in Texas and 5,226 across the US. 6% of them nationwide are listed as remote or flexible.
Hiring the most in Texas
Experience
This posting asks for at least 10 years of experience — more than three in four Data Analyst postings that state a minimum ask for (median 4 years, across 3,878 postings).
Education
This posting asks for a bachelor's degree; 2,254 of the 5,226 open Data Analyst jobs (43%) ask for a bachelor's degree or higher.

Counted across the open, public US postings on Olive Jobs on November 7, 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.

Prepare for this role

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