Pricing Data Analyst — AI-Driven Auto SaaS

CDK Global, LLC

Chicago (IL)

Hybrid

USD 75,000 - 80,000

Full time

5 days ago
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Benefits offered by this job

PTO
401K Matching
Tuition Reimbursement
Medical/Dental/Vision

Job summary

CDK Global is seeking a Pricing Analyst to support pricing decisions for CRM, digital retail, and AI-based solutions for automotive dealerships and partners. You will work closely with product, sales, finance, marketing, and commercial teams to analyze data, build Excel models, and develop fact-based recommendations that improve profitability.

The role emphasizes strong analytical capability, advanced Excel skills, and the ability to communicate complex analyses to diverse stakeholders in a

Qualifications

  • Bachelor's degree in business, finance, economics, mathematics, statistics, data analytics, engineering, or related field.
  • Strong quantitative, analytical, and problem-solving ability with data-driven decision-making.
  • Advanced Excel skills and strong PowerPoint abilities to present findings.

Responsibilities

  • Analyze commercial, customer, product, and usage data to identify trends and profitability opportunities.
  • Build Excel-based financial models to support pricing, packaging, discounts, and profitability decisions.
  • Translate analyses into actionable commercial recommendations and present to nontechnical audiences.
  • Support pricing strategies for new and existing software and service solutions; assess customer and financial impacts.
  • Maintain pricing governance, price lists, and related strategic sales initiatives.

Skills

Advanced Excel
Pricing & Analytics
Data Analytics
Cross-functional Collaboration
Presentations

Education

Bachelor's degree in business/finance

Tools

Excel-based models

Job description

CDK Global is seeking a Pricing Analyst to support pricing decisions for CRM, digital retail, and AI-based solutions for automotive dealerships and partners. You will work closely with product, sales, finance, marketing, and commercial teams to analyze data, build Excel models, and develop fact-based recommendations that improve profitability.

The role emphasizes strong analytical capability, advanced Excel skills, and the ability to communicate complex analyses to diverse stakeholders in a

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