Remote Pricing Analyst — Veterinary Network Growth

NVA General Practice; United States; On-site; USD 75,000 - 100,000; Full time

Job summary

National Veterinary Associates is seeking a Pricing Analyst to join the Business Operations team, shaping data-driven pricing strategies across our network of veterinary hospitals. You will analyze data, develop insights, and support pricing recommendations that improve revenue growth, margin health, and consistency across hospitals.

You will report to the Pricing Senior Manager. This remote role supports pricing initiatives across multiple clinics, requiring collaboration with Operations, Data,

Qualifications

• 2+ years of pricing, financial analysis, or data analytics experience.
• Experience with large, complex datasets across multiple systems.
• Healthcare, retail, or multi-location business experience preferred.

Responsibilities

• Evaluate historical sales, service utilization, and client purchasing behavior to identify pricing opportunities.
• Benchmark pricing across hospitals, markets, and competitors for fairness and competitiveness.
• Model pricing scenarios to measure potential revenue and client impact.
• Support the development of guidelines and frameworks for consistent, scalable enterprise pricing practices.

Skills

Analytical thinking

Communication

Team collaboration

Attention to detail

Education

Bachelor's degree in Business, Economics, Finance, Data Analytics, or related field

Master's degree a plus

Tools

Excel

SQL

R

Python

Tableau

Power BI

Job description

National Veterinary Associates is seeking a Pricing Analyst to join the Business Operations team, shaping data-driven pricing strategies across our network of veterinary hospitals. You will analyze data, develop insights, and support pricing recommendations that improve revenue growth, margin health, and consistency across hospitals.

You will report to the Pricing Senior Manager. This remote role supports pricing initiatives across multiple clinics, requiring collaboration with Operations, Data,