Pricing Analyst - RFP & Data Storytelling

dmg; Cincinnati (OH); On-site; USD 60,000 - 80,000; Full time

Benefits offered by this job

Health benefits day 1

401K match

Caregiver leave

EAP program

Paid time off

Job summary

Divisions Maintenance Group (DMG) is seeking a Pricing Analyst to join our Deal Desk team in Cincinnati, OH. This role emphasizes Excel prowess, data cleaning, and storytelling to shape pricing across field, sales and implementation teams.

The ideal candidate has 1–3 years in pricing or analytics, strong Excel skills, and optional Power BI/SQL CPQ experience. You will manage multiple RFPs and develop pricing models in a fast-paced environment.

Qualifications

• Bachelor's degree in Business, Finance, Economics or related field.
• 1–3 years in pricing, sales or analytics.
• Strong Excel and data-analysis skills.

Responsibilities

• RFP management and timely responses with competitive pricing.
• Clean, manipulate and analyze data from multiple sources.
• Develop narratives and presentations for stakeholders.
• Collaborate with field, sales, leadership and implementation teams.
• Help develop pricing strategies and models aligned with goals.
• Utilize Excel for data analysis, pivots, and visuals.
• Oversee multiple pricing projects and timelines.
• Provide data-driven insights to support decisions.
• Monitor market trends to inform pricing strategies.
• Prepare regular pricing analytics reports.

Skills

Excel proficiency

Data analysis

Storytelling

Leadership communication

Education

Bachelor's degree in Business/Finance/Economics

Tools

Power BI

SQL

CPQ

Job description

Divisions Maintenance Group (DMG) is seeking a Pricing Analyst to join our Deal Desk team in Cincinnati, OH. This role emphasizes Excel prowess, data cleaning, and storytelling to shape pricing across field, sales and implementation teams.

The ideal candidate has 1–3 years in pricing or analytics, strong Excel skills, and optional Power BI/SQL CPQ experience. You will manage multiple RFPs and develop pricing models in a fast-paced environment.