Sr. Pricing Analyst

CARFAX•Centreville, VA

1d•$81,000 - $121,000•Hybrid

About The Position

The Sr. Pricing Analyst acts as the lead revenue partner to a Business Unit head, delivering data-driven insights that influence the long-term growth and health of a portfolio. The role executes pricing frameworks for new product launches, manages the annual price increase cycle, and develops strategies to improve customer lifetime value and retention. It also helps cross-functional teams strengthen their financial acumen by teaching them to interpret revenue data and apply it to their functions. The analyst independently identifies revenue opportunities, detects value erosion, and proposes corrective go-to-market tactics. The role turns raw data into narratives and visual dashboards that support executive decisions, builds statistical models for customer segmentation, churn prediction, and anomaly detection, and shares value insights with product teams to support the product development roadmap. This is a hybrid position, with in-office expectations determined by location and subject to change based on business needs.

Requirements

Bachelor's degree required.
Minimum of 6 years of experience in pricing, revenue management, or business analytics.
Ability to work independently, challenge senior leadership with data-backed insights, and navigate ambiguous business environments.
High proficiency in SQL, CRM systems such as Salesforce, and advanced data visualization tools such as Tableau or Power BI.

Nice To Haves

Degree in Mathematics, Business Analytics, Economics, or a similar field.
Master's degree with a quantitative focus.
Experience developing pricing models for new product launches.
Ability to make recommendations to stakeholders using large amounts of data.
Experience managing strategic initiatives and/or driving revenue growth through price actions.

Responsibilities

Act as the lead revenue partner to the Business Unit head, providing data-driven insights on portfolio growth and health.
Execute pricing frameworks for new product launches and manage the annual price increase cycle.
Design strategies to improve customer lifetime value and retention.
Teach cross-functional teams to interpret revenue data and apply it to their functions.
Identify revenue opportunities, detect value erosion, and propose corrective go-to-market tactics.
Transform raw data into narratives and visual dashboards to support executive decision-making.
Build statistical models for value-based customer segmentation, churn prediction, and anomaly detection.
Share value insights with product teams and support the product development roadmap.