Business Intelligence Engineer, North America Transportation Services

Benefits

Parental leave

6 weeks From the posting source

Non-birth-parent leave

6 weeks From the posting source

Family-building benefits

• Fertility benefits: Not verified
• Adoption assistance: Not verified
• Surrogacy assistance: Not verified

Mental health support

Not verified

Relocation assistance

Not verified

Childcare support

Not verified

Learning budget

Not verified

Verification

Source-linked checked Jun 7, 2026

Salary

$82K-$144K From the posting source

401(k) match

Reported from DOL Form 5500 industry filing (not employer-specific)

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Market context

U.S. role benchmark (BLS OEWS)

$111,944 U.S. median for this role

Projected growth (BLS Employment Projections)

+13.7% - Much faster than average

About in line with the BLS role benchmark for data and ml aggregate.

Matched to SOC 15-1252 - Data and ML aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Role

Role function

Data From the posting source

Seniority

Mid From the posting source

Schedule

Shift type

Not verified

Weekend work

Not verified

Company

Equity

Offered Verified - SEC 10-K source

Application

Cover letter

Not verified

Assessment

Not verified

Deadline

Not stated

Where they hire

State eligibility is not yet verified.

About this role

Business Intelligence Engineer, North America Transportation Services Tempe, Arizona, USA Amazon delivers billions of packages each year through one of the world's most complex transportation networks. As a Business Intelligence Engineer on our North America transportation analytics team, you will build the dashboards, data pipelines, and curated datasets that help operators and planners move packages faster, more accurately, and at lower cost - from fulfillment centers through middle mile hubs to customers' doors. You will own analytics solutions end-to-end: partnering with business teams to define the right questions, engineering the data infrastructure to answer them, and delivering insights that drive real operational decisions. You will also build purpose-built datasets that power machine learning models for demand forecasting, route optimization, and capacity planning - giving you direct exposure to applied AI in a production logistics environment. Key job responsibilities - Own the development and maintenance of dashboards, reports, and visualizations that surface critical transportation metrics - including capacity constraints, route performance, forecast accuracy, and operational bottlenecks - to stakeholders across the transportation network - Collaborate with cross-functional business teams spanning network design, planning, delivery operations, and linehaul to translate operational questions into analytical frameworks and deliver actionable insights - Design, build, and deploy data pipelines, data models, and SQL-based transformations to support analytical and reporting needs; monitor pipeline health proactively and resolve data quality issues to ensure reliable, timely data delivery - Develop and maintain curated, well-documented datasets purpose-built for AI and machine learning models supporting demand forecasting, route optimization, and

Read the full description at www.amazon.jobs. FewerJobs shows a preview and links to the original posting.