Pricing Engineer
Job in
Downers Grove, DuPage County, Illinois, 60516, USA
Listed on 2026-06-01
Listing for:
Roadrunner
Full Time
position Listed on 2026-06-01
Job specializations:
-
IT/Tech
Data Analyst, Data Scientist, Data Engineer, Data Science Manager
Job Description & How to Apply Below
As a long-haul, metro-to-metro LTL carrier, Roadrunner offers more direct routes than any other nationwide Less-than-Truckload carrier in the United States. With a nationwide presence, terminals across 40+ markets, and more than $400 million in revenue, the company's Smart Long-Haul Network is the preferred choice for shippers looking to move freight quickly and reliably.
Roadrunner is growing and looking for a highly motivated Pricing Engineer to join our winning team. If you are results driven and looking for a rapidly growing company with high growth and earnings potential, apply today!
We Run Safe. We Run Smart. We Run Together.
Job Description
Summary:
This role is built for someone with strong analytical horsepower and high curiosity.
You may come from engineering, mathematics, statistics, or a quantitative field. What matters is your ability to break down complex problems, work with data at a deep level, and apply mathematical reasoning to real business decisions.
You will support both day-to-day pricing execution and, over time, contribute to more strategic initiatives: identifying patterns, solving problems, and helping shape pricing decisions across the business.
You will work in a fast-paced environment with real deadlines and high expectations. There is no micromanagement here. Output and ownership matter.
Critical
Job Functions:
- Execute pricing work with speed and accuracy
- Analyze customer and market data to develop pricing recommendations
- Support bids for direct customers and 3PLs, balancing yield and network capacity
- Build and maintain pricing models using Excel and internal systems
- Manage daily workflow independently
- Process incoming pricing requests from Sales through internal systems
- Ensure accuracy, speed, and consistency across deliverables
- Manage multiple priorities and deadlines without constant oversight
- Solve problems and identify gaps
- Recognize data inconsistencies, investigate and identify root causes
- Apply logical and statistical reasoning to support pricing decisions
- Propose solutions and recommendations
- Support pricing decisions
- Support pricing initiatives and projects that impact margin and growth
- Identify trends in customer behavior, pricing performance, and market shifts
- Help improve tools, processes, and pricing logic
- Collaborate cross-functionally
- Partner with Sales, Operations, and leadership to align pricing decisions
- Participate in customer discussions when needed, supporting pricing insights
- Bachelor's degree in Engineering, Mathematics, Statistics, Data Analytics, or a related field
- Strong foundation in mathematics, statistics, or quantitative analysis
- 3+ years of experience in analytics, engineering, or data-focused roles
- Ability to work with large datasets, identify patterns, and build logical models
- Experience applying quantitative reasoning to real-world problems
- Strong Excel skills (pivot tables, advanced formulas required)
- Exposure to SQL (ability to write queries preferred)
- Familiarity with Microsoft Access or similar tools is a plus
- Exposure to Python, R, or other programming languages is a plus
- Exposure to AI, machine learning, or data experimentation is a strong plus.
- Strong problem-solving ability and analytical thinking
- High curiosity and willingness to learn quickly
- Ability to work independently and manage deadlines
- Clear communication: can explain the "why" behind the numbers
- Work ethic: you take ownership and follow through
- Analytical thinking
- Problem solving and pattern recognition
- Ownership and accountability
- Learning agility
- Data interpretation and storytelling
- Attention to detail
- Cross-functional collaboration
- This role requires strong quantitative thinking. If your experience is primarily executing tasks without deeply understanding the data behind them, this role will not be a fit.
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