Senior Data Analyst, Transportation, Road
Listed on 2026-05-28
-
IT/Tech
Data Analyst, Business Systems/ Tech Analyst, Data Warehousing -
Business
Data Analyst, Business Systems/ Tech Analyst
DSV - Global transport and logistics In 1976, ten independent hauliers joined forces and founded DSV in Denmark. Since then, DSV has evolved to become the world’s 3rd largest supplier of global solutions within transport and logistics. Today, we add value to our customers’ entire supply chain by transporting, storing, packaging, re‑packaging, processing and clearing all types of goods. We work every day from our many offices in more than 80 countries to ensure a steady supply of goods to production lines, outlets, stores and consumers all over the world.
Our reach is global yet our presence is local and close to our customers. Read more at
Location
:
Lancaster, TX
Division
:
Road Transport US
Job Posting Title
:
Senior Data Analyst, Transportation, Road Transport US
Time Type
:
Full Time
The Data Analyst supports DSV Road’s transportation operations by delivering data‑driven insights across key business areas including equipment cost, headcount, financial performance, and operational efficiency. This role is responsible for extracting, consolidating, and analyzing data from multiple systems to provide accurate, timely, and actionable reporting. The Data Analyst will play a critical role in reducing manual reporting efforts, improving data accessibility, and enabling informed decision‑making across the business.
This role serves as a centralized analytics partner and collaborates with cross‑functional teams to gather and validate data inputs.
- Extract, compile, and analyze data from multiple internal systems, including SAP, Cargo Wise, Geotab, Blue Yonder, Open Dock, Truck Mate, VFT (load management system) and other systems.
- Consolidate data from disparate sources into centralized datasets to improve reporting efficiency and accuracy.
- Develop, maintain, and enhance Power BI dashboards and reports to provide visibility into key performance indicators (KPIs) such as equipment costs, utilization, headcount, labor productivity, and transportation performance.
- Identify and implement opportunities to streamline and automate reporting processes, reducing manual data pulls and turnaround time.
- Conduct financial and operational analyses, including cost trends, variance analysis, and performance tracking across transportation operations.
- Partner with cross‑functional teams including Operations, Safety, Equipment Control, Finance, HR, and other groups to gather, validate, and interpret data needed for reporting and analysis.
- Support ad hoc reporting and deep‑ dive analyses using raw data to address business questions and operational challenges.
- Ensure data accuracy, consistency, and integrity across systems and reporting outputs.
- Translate complex data into clear, concise insights and presentations for leadership.
- Document data sources, reporting processes, and definitions to support standardization and scalability.
- Support system and process improvement initiatives aimed at reducing system redundancy and improving data flow across platforms.
- Other duties and projects as assigned.
- Bachelor’s degree in Data Analytics, Business, Finance, Supply Chain Management, or a related field preferred; equivalent experience may be accepted.
- 1–3 years of experience in data analysis, reporting, or business analytics.
- Experience working with multiple data sources and systems in a fast‑paced environment.
- Strong experience with Power BI, including dashboard development, data modeling, and visualization required.
- Proven experience extracting, consolidating, and analyzing data from multiple systems/sources.
- Experience with in transportation, logistics, or trucking operations preferred.
- Advanced proficiency in Microsoft Excel (pivot tables, advanced formulas, data manipulation).
- Experience querying and manipulating data using SQL or similar tools preferred.
- Strong analytical and problem‑solving skills with attention to detail and data accuracy.
- Ability to interpret financial, operational, and headcount‑related data.
- Strong communication skills with the ability to collaborate with and gather data from cross‑functional teams.
- Ability to manage multiple priorities and deliver…
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