Logistics technology
Data and analytics professionals in Logistics technology
Learn which data points actually drive decisions in freight and logistics operations, and where analysts hit limits—when data runs out, conflicts with other priorities, or simply doesn't exist. Understand how your team would use analytics to choose between competing operational paths.
Professionals to explore
01—10Aishwarya Murali
LinkedInExperience: Head of Business Intelligence and Customer Solutions · Mainfreight
Has experience architecting business intelligence platforms and data warehouses for branch operations at a logistics and supply chain company.
Alex Perry
LinkedInExperience: Director of Analytics · DAT Freight & Analytics
Experience directing analytics for a freight and logistics data and market intelligence company, following prior roles as analytics manager and data analytics consultant at the same firm.
Ankur Mukhopadhyay
LinkedInExperience: Senior Director- Data Science & Analytics · Xpressbees (BusyBees Logistics Solutions Pvt. Ltd.)
Experience leading data science, analytics, and platform functions for a logistics organization, overseeing data scientists, engineers, and BI professionals.
Bertalan Moravánszky
LinkedInExperience: Director, Advanced Analytics & Group Commercial Business Intelligence · DSV - Global Transport and Logistics
Has experience leading commercial business intelligence and advanced analytics teams at a global freight forwarding and logistics company.
Brett Spicer
LinkedInExperience: Director, Advanced Analytics & Operations Science · ArcBest
Experience leading advanced analytics and predictive/prescriptive analytics solutions for a multibillion-dollar freight and logistics solutions provider.
Dana Acosta
LinkedInExperience: Senior Director, Data and Analytics · Hub Group
Experience leading data and analytics functions at a transportation company providing intermodal, truck brokerage, and logistics management solutions.
Kishore Kommalapati
LinkedInExperience: Director Business Intelligence · RXO, Inc.
Has experience leading enterprise business analytics and business intelligence functions at freight and logistics companies.
Salva de Tudela Berenguer
LinkedInExperience: Head of Analytics and Depots - Functional Platform · A.P. Moller - Maersk
Experience leading analytics and product functions for landside logistics platforms at a large global transportation and logistics company.
Shannon Koeppen
LinkedInExperience: Senior Director, Advanced Analytics and Innovation · Livingston International
Experience leading advanced analytics and innovation functions within a customs brokerage and global trade logistics company, following prior logistics program management experience.
Shirish Ekbote
LinkedInExperience: Global Head of Business Intelligence & Analytics (Road Logistics) · Kuehne+Nagel
Has experience leading business intelligence and analytics functions focused on road logistics at a global freight forwarding and supply chain management company.
Choose the right perspective
Look for candidates who have owned specific decisions: which shipment routes to optimize, which customers to focus on, or how to price services. Ask them to describe a time when the data they had wasn't enough, or when they had to act despite incomplete information. Avoid those who only describe reporting or dashboards without connecting to actual choices.
Questions to take into the conversation
- 01Walk me through a decision you made using data in logistics. What data did you use, and what data were you missing?
- 02When did you recommend something based on analytics, but the business chose differently? What was the gap between your analysis and what happened?
- 03Which metrics stopped being useful as your operation scaled or changed, and why?
About this directory
This is a professional research starting point based on business profile data retrieved on . Titles and companies reflect that source snapshot and may describe past or present roles. Check the linked profiles for current details. Inclusion does not imply Instant Expert membership or availability.
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