Senior Pricing Analyst

TAG - The Aspen Group•Chicago, IL

2d•Hybrid

About The Position

The Aspen Group (TAG) is one of the largest and most trusted retail healthcare business support organizations in the U.S., supporting over 23,000 healthcare professionals and team members at more than 1,150 locations across 48 states. Our five supported healthcare practices operate under the brands Aspen Dental, ClearChoice, WellNow, Chapter Aesthetic Studio, and Lovet. We’re committed to enabling healthcare professionals to focus on patient care while we handle the business operations that support them. The Senior Pricing Analyst is responsible for developing and implementing pricing, promotion, reporting, and analytical solutions to support the revenue management department. This role serves as a hands-on pricing and BI partner, helping establish foundational reporting while also driving analysis and recommendations across pricing strategy, promotional effectiveness, bundles, membership economics, and pricing performance. The ideal candidate brings strong technical skills, sound commercial judgment, excellent communication and organizational skills, and a passion for using data to solve business problems and improve decision-making.

Requirements

Bachelor's degree in Business Analytics, Data Science, Statistics, Mathematics, Computer Science, Finance, Economics, or a related field required
3-5 years of experience in pricing, revenue management, promotions, commercial analytics, business analytics, or a related function required, including meaningful hands-on experience supporting pricing or offer strategy
Experience evaluating pricing, discounting, promotions, bundles, membership or subscription economics, or related commercial levers required
Strong understanding of willingness to pay (WTP), ability to pay (ATP), test design, test measurement, and the key drivers of pricing and promotional performance required
Strong understanding of data querying, data structures, and how to translate business questions into scalable reporting and analytical solutions
Ability to build foundational reporting, validate large data sets for accuracy and completeness, and maintain strong data integrity and governance practices
Working knowledge of data engineering concepts and tools required
Ability to excel in a fast-paced environment, take direction, and manage multiple priorities
Ability to lead analytical projects from start to finish, including initial project scoping, structuring analyses, querying and modeling data, validating outputs, and presenting findings and recommendations
Advanced proficiency in Microsoft Excel, SQL (BigQuery preferred), and Tableau required

Nice To Haves

Master's degree in a related field is a plus
Experience using segmentation, cohorts, or customer or patient behavior analysis to inform pricing or offer decisions preferred
Experience with healthcare, dental, retail healthcare, or other consumer services pricing preferred; familiarity with pricing waterfall concepts from list pricing to out-of-pocket realization is a plus
Experience with Python preferred

Responsibilities

Work closely with the Senior Manager of Pricing to optimize pricing, discounting, promotional, and bundle strategies across multiple brands
Help design, execute, and measure pricing and promotional tests, including defining hypotheses, success metrics, test structure, and readouts for stakeholders
Review monthly pricing and discounting performance against forecast, highlight major variances, identify root causes, and recommend actions
Leverage advanced data, financial modeling, and forecasting to develop targeted and effective pricing and promotional strategies
Build and maintain foundational reporting, dashboards, and performance metrics to track pricing, promotions, bundles, and membership economics across the organization
Analyze willingness to pay (WTP), ability to pay (ATP), patient behavior, and cohort or segment performance to inform pricing and offer decisions
Evaluate the performance of bundles, promotions, membership programs, and pricing merchandising to improve conversion, mix, revenue, and profitability
Support pricing strategy through analysis of patient segmentation, cohorts, and offer response across brands, geographies, and other key dimensions
Use data and financial modeling to develop new measures and metrics that monitor pricing performance throughout the organization
Partner with data engineering and cross-functional stakeholders to ensure pricing and promotion data is properly collected, structured, and available for analysis and reporting
Create clear analyses, reports, dashboards, and visualizations that communicate findings, business implications, and recommendations to stakeholders
Enforce data integrity, accuracy, and governance in pricing, financial, and management reporting
Conduct ad hoc analyses and support strategic initiatives related to pricing, promotions, membership economics, and related commercial questions