Pricing Analyst

Jobtailor; Town of Texas (WI); On-site; USD 60,000 - 85,000; Full time

Job summary

Jobtailor is seeking a Pricing Analytics professional to analyze deal data, benchmarks, and competitive pricing signals to guide pricing decisions.

The role involves building pricing datasets, dashboards, and models across regions and products, ensuring data accuracy and usability for key executives.

Qualifications

• Bachelor’s degree in Business, Finance, Engineering, Data Science, or related field.
• 1–3 years of analytics, pricing, or commercial finance experience.
• Strong Excel skills and comfort with data analysis.
• Experience with data tools (SQL, Python, Tableau) a plus.
• Structured problem-solving and attention to detail.

Responsibilities

• Analyze deal data, market benchmarks, and competitor pricing signals to support pricing recommendations.
• Identify pricing trends, deal outcomes, and drivers of win/loss performance.
• Support development of pricing guidance based on data and commercial inputs.
• Build and maintain pricing datasets across regions and products.
• Ensure accuracy, consistency, and usability of pricing data.
• Provide analytical support for active deals (benchmarks, margin checks, scenario analysis).
• Prepare inputs for pricing reviews and approval processes.
• Support development of standardized pricing models and tools.
• Maintain Excel-based pricing models and support CPQ workflows.
• Build key dashboards, presentations, and analyses to support executives and key decision makers.

Skills

Excel proficiency

Data analysis

Problem solving

Attention to detail

Pricing analytics

Education

Bachelor’s degree in Business, Finance, Engineering, Data Science, or related field

Tools

Excel

SQL

Python

Tableau

CPQ Workflows

Job description

Responsibilities

• Analyze deal data, market benchmarks, and competitor pricing signals to support pricing recommendations
• Identify pricing trends, deal outcomes, and drivers of win/loss performance
• Support development of pricing guidance based on data and commercial inputs
• Build and maintain pricing datasets across regions and products
• Ensure accuracy, consistency, and usability of pricing data
• Provide analytical support for active deals (benchmarks, margin checks, scenario analysis)
• Prepare inputs for pricing reviews and approval processes
• Support development of standardized pricing models and tools
• Maintain Excel-based pricing models and support CPQ workflows
• Build key dashboards, presentations, and analysis and support presentations to executives and key decision makers

Requirements

• Bachelor’s degree in Business, Finance, Engineering, Data Science, or related field
• 1–3 years of experience in analytics, pricing, or commercial finance
• Strong Excel skills and comfort with data analysis
• Experience with data tools (SQL, Python, Tableau) a plus
• Structured problem-solving and attention to detail

Core Competencies

Demonstrates expertise in data analysis and pricing strategy development, utilizing strong Excel skills and familiarity with data tools such as SQL and Python. Capable of building and maintaining pricing datasets and models while providing analytical support for pricing decisions.

Tools & Technologies

• Excel
• SQL
• Python
• Tableau
• CPQ Workflows