Senior Pricing Analyst - Automotive Logistics (Remote)

Vaco; Phoenix (AZ); Remote; USD 100,000 - 125,000; Full time

Job summary

Vaco by Highspring seeks a Senior Pricing Analyst to lead pricing analytics for automotive vehicle transportation. You will own pricing across a wide network of lanes, build data-driven models, and develop dashboards for faster decision-making.

The role requires 5+ years in pricing analytics within automotive logistics, advanced Excel, Power BI, and preferably Python. You will collaborate with Finance, Data Science, and Operations to optimize profitability while staying competitive.

Qualifications

• 5+ years of pricing analytics experience within automotive transportation/logistics.
• Direct experience in auto transportation; general freight experience will not meet the requirement.
• Strong analytical background with ability to work through large datasets and translate findings into pricing recommendations.
• Advanced Excel; experience with Power BI; Python or similar analytics is a plus.

Responsibilities

• Own pricing analysis across a large network of vehicle transportation lanes, helping determine competitive customer rates while protecting profitability.
• Evaluate transportation costs and market changes, including carrier pricing, fuel costs, route activity, capacity, and other factors that impact the cost of moving vehicles.
• Analyze large datasets to identify pricing trends, patterns, margin opportunities, and lanes where pricing adjustments may be needed.
• Develop pricing models, reporting, and dashboards that help the business make faster, data-driven pricing decisions.
• Partner closely with Finance, Data Science, Operations, and other teams to improve pricing strategies and translate analytical findings into actionable business recommendations.

Skills

Analytical thinking

Excel

Power BI

Python

Pricing analytics

Tools

Power BI

Python

Job description

Vaco by Highspring seeks a Senior Pricing Analyst to lead pricing analytics for automotive vehicle transportation. You will own pricing across a wide network of lanes, build data-driven models, and develop dashboards for faster decision-making.

The role requires 5+ years in pricing analytics within automotive logistics, advanced Excel, Power BI, and preferably Python. You will collaborate with Finance, Data Science, and Operations to optimize profitability while staying competitive.