Logistics Pricing Strategy & Automation Lead

Cox Automotive; Atlanta (GA); On-site; USD 81,000 - 122,000; Full time

Job summary

Cox Automotive Ready Logistics in Atlanta seeks an analytical pricing analyst to design and execute pricing strategies that balance profitability, market share, and customer retention. You will build predictive pricing models using SQL, Excel, and BI tools to forecast demand and optimize rates.

Partner with Sales, Finance, and Operations to ensure pricing decisions reflect real-time market conditions. Strong data storytelling and ETL experience are a plus.

Qualifications

• Bachelor's degree or higher in a related field with 2+ years of experience.
• Experience with database platforms and data visualization tools is a plus.
• Ability to transform data into actionable business insights.
• Strong storytelling with data to address varied audiences.

Responsibilities

• Develop and execute pricing strategies aligning profitability, market share, and retention.
• Build predictive pricing models using SQL, Excel, and BI tools to forecast demand.
• Partner with Sales, Finance, and Operations to support strategic pricing objectives.
• Determine pricing optimizations by customer segments, geography, and competition.
• Analyze industry trends to adjust pricing frameworks and bid strategies.
• Monitor pricing health and provide data-informed recommendations.
• Design automated pricing tools, dashboards, and APIs to speed quoting.
• Run what-if and sensitivity analyses on market changes and costs.
• Present data-driven pricing performance reports to senior leadership.

Skills

Analytical skills

Data storytelling

Cross-functional collaboration

Problem solving

Communication

Presentation skills

ETL experience

Education

Bachelor's degree in related discipline

Master's degree (optional)

Tools

Oracle

SQL Server

Power BI

Tableau

Job description

Cox Automotive Ready Logistics in Atlanta seeks an analytical pricing analyst to design and execute pricing strategies that balance profitability, market share, and customer retention. You will build predictive pricing models using SQL, Excel, and BI tools to forecast demand and optimize rates.

Partner with Sales, Finance, and Operations to ensure pricing decisions reflect real-time market conditions. Strong data storytelling and ETL experience are a plus.