Senior Pricing Analyst

Senior Pricing Analyst page is loaded## Senior Pricing Analyst locations:
Chicago, Illinois time type:
Full time posted on:
Posted Todayjob requisition :
RThe 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, Clear Choice, Well Now, 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.
** Job Summary
** 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.
** Responsibilities
* * As a Senior Pricing Analyst, you will:
* 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
** Minimum

Education and Experience
*** Bachelor's degree in Business Analytics, Data Science, Statistics, Mathematics, Computer Science, Finance, Economics, or a related field required. Master's degree in a related field is a plus
* 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
* Experience using segmentation, cohorts, or customer or patient behavior analysis to inform pricing or offer decisions preferred
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