Global Logistics Analyst

SWIR Vision Systems

SWIR Vision Systems

IT, Operations

Scottsdale, AZ, USA

Posted on May 21, 2026

We are seeking a highly analytical Logistics Analyst to support transportation and supply chain operations through data-driven insights. This role focuses on using SQL-based analysis, AI-enabled analytics, and clear data visualizations to improve transportation performance, control costs, and support day-to-day logistics decision-making. The ideal candidate combines strong analytical skills with a practical understanding of transportation operations and carrier management.



onsemi (Nasdaq: ON) is driving disruptive innovations to help build a better future. With a focus on automotive and industrial end-markets, the company is accelerating change in megatrends such as vehicle electrification and safety, sustainable energy grids, industrial automation, and 5G and cloud infrastructure. With a highly differentiated and innovative product portfolio, onsemi creates intelligent power and sensing technologies that solve the world’s most complex challenges and leads the way in creating a safer, cleaner, and smarter world.

More details about our company benefits can be found here:

https://www.onsemi.com/careers/career-benefits


We are committed to sourcing, attracting, and hiring high-performance innovators, while providing all candidates a positive recruitment experience that builds our brand as a great place to work.


onsemi is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, ethnicity, color, religion, ancestry, national origin, age, marital status, pregnancy, sex, sexual orientation, physical or mental disability, medical condition, genetic information, military or veteran status, gender identity, gender expression, or any other protected category under applicable federal, state, or local laws.

If you are an individual with a disability and require a reasonable accommodation to complete any part of the application process, or are limited in the ability or unable to access or use this online application process and need an alternative method for applying, you may contact Talent.acquisition@onsemi.com for assistance.

  • Bachelor’s degree in Logistics, Supply Chain, Data Analytics, Business, or a related field.

  • Strong working knowledge of SQL for analysis and reporting (queries, joins, aggregations).

  • Experience building dashboards or reports using Power BI, Tableau, or similar tools.

  • Understanding of transportation operations, including carriers, modes, lanes, and basic cost drivers.

  • Strong analytical thinking with the ability to translate data into actionable logistics insights.

Preferred Qualifications

  • Experience supporting transportation teams or freight-related analytics (air, ocean, truckload, LTL, parcel).

  • Exposure to AI, predictive analytics, or automation tools in a business or operational context.

  • Familiarity with TMS, WMS, or ERP systems.

  • Strong communication skills and comfort working with both data and operations teams.

What Success Looks Like

  • Transportation teams have clear visibility into cost, service, and performance trends.

  • Carrier and lane decisions are supported by accurate, trusted data.

  • Logistics issues are identified earlier and explained clearly using analytics.

  • Dashboards and reports are actively used by operations—not just created.


Logistics & Transportation Support

  • Support daily and strategic transportation operations by analyzing shipment data, carrier performance, service levels, and costs.

  • Assist transportation, sourcing, and operations teams with lane analysis, carrier comparisons, and modal trade-off decisions.

  • Monitor and report on key transportation KPIs such as on-time delivery, transit time variability, accessorials, and cost per shipment.

  • Provide analytical support for carrier bids, contract review, claims trends, and continuous improvement initiatives.

  • Help identify and explain transportation issues (delays, cost spikes, service failures) and support root cause analysis.

Data Analysis & SQ

  • Use SQL to extract, combine, and analyze data from transportation, warehouse, and ERP systems.

  • Perform ad-hoc and recurring analysis to support transportation planning, budgeting, and performance management.

  • Maintain and improve existing datasets and reports to ensure data accuracy and usability for logistics teams.

AI & Advanced Analytics (Applied, Not Experimental)

  • Apply predictive and statistical techniques to support forecasting, risk identification, and trend analysis in transportation and logistics.

  • Use AI-enabled tools to help identify anomalies, recurring issues, or improvement opportunities within large logistics datasets.

  • Partner with operations and IT teams to apply analytics in practical, business-relevant ways rather than theoretical models.

Data Visualization & Reporting

  • Build and maintain dashboards and reports (Power BI, Tableau, or equivalent) that provide visibility into transportation and logistics performance.

  • Present insights in a clear, business-friendly way for logistics managers, sourcing, and leadership audiences.

  • Enable self-service reporting by documenting metrics, assumptions, and data sources.

Process Improvement & Collaboration

  • Identify opportunities to improve transportation efficiency, cost control, and service reliability through data-backed insights.

  • Work cross-functionally with transportation, warehouse, finance, and IT teams to support logistics initiatives.

  • Contribute to standardization of logistics metrics, reporting, and analytical best practices.