Pricing Data Analyst - Hybrid, Data-Driven Impact

CDK Global; Hoffman Estates (IL); Hybrid; USD 90,000 - 140,000; Full time

Job summary

CDK Global is seeking a Pricing Analyst to join its data-driven commercial team. The role blends pricing strategy, analytics, and go-to-market execution for CRM, digital retail, and AI-based solutions for automotive dealerships and partners.

You will collaborate with product, sales, finance, marketing, and strategy to analyze data, develop recommendations, support pricing execution, and improve profitability. Strong Excel skills and the ability to present complex analyses clearly are essential.

Qualifications

• Bachelor's degree in business, finance, economics, mathematics, statistics, data analytics, or related field.
• Experience with quantitative analysis and financial modeling.
• Prior pricing experience is helpful but not required.
• Strong Excel skills and ability to model data.
• Excellent communication and presentation skills.

Responsibilities

• Prepare and analyze commercial, customer, product, and usage data to identify trends and revenue opportunities.
• Build Excel-based models to support pricing and profitability decisions.
• Translate findings into practical recommendations for nontechnical audiences.
• Support pricing strategies for software and service solutions.
• Analyze market data and customer usage to inform pricing decisions.
• Maintain price lists and support pricing governance.

Skills

Advanced Excel

PowerPoint

Analytical thinking

Pricing experience

Education

Bachelor's degree (Business/Economics)

Tools

Excel

PowerPoint

Job description

CDK Global is seeking a Pricing Analyst to join its data-driven commercial team. The role blends pricing strategy, analytics, and go-to-market execution for CRM, digital retail, and AI-based solutions for automotive dealerships and partners.

You will collaborate with product, sales, finance, marketing, and strategy to analyze data, develop recommendations, support pricing execution, and improve profitability. Strong Excel skills and the ability to present complex analyses clearly are essential.