Pricing Data Analyst

CDK Global

Hoffman Estates (IL)

Hybrid

USD 90,000 - 140,000

Full time

4 days ago
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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

Hybrid:

To be considered for this role, you must live within a commutable distance to our CDK offices in the following locations: Austin, TX, Hoffman Estates, IL, Portland, OR, and Blue Ash, Ohio

About Us:

CDK Global is a leading provider of cloud-based software to dealerships and Original Equipment Manufacturers ("OEMs") across automotive and related industries. The Company's cloud-based, software as a service ("SaaS") platform enables dealerships to manage their end-to-end business operations including the acquisition, sale, financing, insuring, repair, and maintenance of vehicles. By automating and streamlining critical workflows, the integrated platform of modern solutions enables dealers to sell and service more vehicles by creating simple and convenient experiences for customers and improves their financial and operational performance.

Position Summary

The Pricing Analyst is a quantitative, commercially oriented role at the intersection of data analytics, pricing strategy, product, and go-to-market execution. The analyst will primarily support pricing and commercial decisions for CRM, digital retail, and emerging AI-based solutions serving automotive dealerships and related partners. Over time, exposure and responsibilities may expand or shift to other areas of automotive technology, creating opportunities to learn new products and tackle a broad range of commercial challenges. The role will work closely with product, sales, finance, marketing, and commercial teams to analyze data, develop fact-based recommendations, support pricing execution, and improve product and service profitability. Success in this role requires strong analytical capability, advanced Excel skills, commercial curiosity, and the ability to communicate complex analysis clearly to a range of stakeholders.

You’ll join a highly collaborative, supportive team that brings energy, curiosity, and diverse professional backgrounds and perspectives to its work. We value open dialogue, shared problem-solving, and learning from one another, with opportunities to contribute ideas, build relationships across functions, and help shape commercial decisions in an evolving automotive technology landscape.

Position Responsibilities & Essential functions
  • Prepare, validate, combine, and analyze commercial, customer, product, and usage data to identify trends, outliers, profitability issues, and revenue opportunities.
  • Build and maintain Excel-based analytical and financial models that support pricing, packaging, discounting, and profitability decisions.
  • Translate analytical findings into practical, actionable commercial recommendations and present them clearly and concisely to nontechnical audiences.
  • Support the development and evaluation of pricing strategies for new and existing software and service solutions, including assessment of customer and financial impacts.
  • Analyze customer utilization, win/loss information, competitive intelligence, and market data to inform pricing and commercial decisions.
  • Maintain commercial price lists and support pricing governance, execution, and related strategic sales initiatives.
  • Develop recurring and ad hoc pricing, revenue, and forecasting analyses that improve visibility and support better commercial decisions.
  • Partner effectively across sales, marketing, product, finance, strategy, support, and other functions; gather feedback, refine recommendations, and support implementation.
  • Manage multiple priorities in a fast-paced environment while maintaining accuracy, organization, and attention to detail.
  • Develop a strong understanding of dealership workflows, automotive software, CRM, digital retail, and the value these solutions create for customers.
Qualifications & Requirements
  • Bachelor's degree in business, finance, economics, mathematics, statistics, data analytics, engineering, computer information systems, or another quantitatively oriented or closely related discipline.
  • Relevant professional, internship, academic, or project experience involving quantitative analysis, financial modeling, pricing, commercial strategy, or data-driven decision-making.
  • Prior professional pricing experience is helpful but not required.
  • Demonstrated strong quantitative, analytical, and problem-solving ability, including experience working with complex or imperfect data and developing fact-based recommendations.
  • Advanced Excel skills, including the ability to structure, validate, analyze, and model data independently; strong PowerPoint skills are also expected.
  • Strong communication and presentation skills, with the ability to explain analytical findings in clear, practical business language and influence decisions through evidence and sound reasoning.
  • Strong collaboration and relationship-building skills and the ability to work effectively across multiple functions and incorporate stakeholder feedback.
  • Demonstrated ability to manage multiple priorities and provide timely, accurate written and verbal responses in a fast-paced e
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