Senior Data Analyst

Carfax•Centreville, VA

2d•Hybrid

About The Position

Join our Winning Team as a Senior Data Analyst ! Isn't it time you bragged about where you work? At CARFAX, we do, every day. We pride ourselves on being mission-focused on helping to grow a brand built on accuracy and integrity. We care deeply about our products and our customers. We’re more than just a company: We help millions of consumers make more-informed decisions every day. We know that our teammates are our most valuable asset, and we value a balanced life while tackling challenging projects in a fast-paced environment. One last thing: Our four-day work week continues in Summer 2026! As a Senior Data Analyst , you will join a team of strategic analysts within the Chief Analytics Org, dedicated to the Dealer Business Unit. Our mandate is to serve as the analytical machine for our revenue-driving teams, transforming complex dealership and market data into actionable growth opportunities. You will partner directly with senior leadership across Sales, Account Management, and Support to optimize our B2B revenue engine and drive operational excellence. Acting as a key collaborator with our Pricing and Finance teams, you will provide forward-looking assessments that forecast our product-revenue upside. We are looking for a technical powerhouse—someone who uses an advanced toolkit of SQL and R to reveal hidden themes, identify influential dealer activity, and translate data into a competitive advantage for our SaaS portfolio of products. At CARFAX, we believe in the power of teamwork and value in-person interactions so that we can collaborate and thrive together. This position will require 3 days per week in our Centreville, VA office, subject to change with future business needs.

Requirements

SQL Pro: 4+ years of using SQL to wrangle data. You don't just write queries; you optimize them for scale. You are comfortable navigating Spark SQL environments and legacy systems to map data from different domains into an authoritative view of an account or user.
Statistical Toolkit (R, etc): 3+ years using the Tidyverse or similar ecosystem to move beyond descriptive stats. You can perform causal inference to tell us why a dealer renewed, not just that they did.
Executive Visualization: 2+ years building "at-a-glance" dashboards (Tableau/PowerBI/Looker) that helps a CRO manage the business
Revenue Acumen: You understand the mechanics of a B2B SaaS engine. You know how data flows from a CRM into a financial forecast.
The "Translator" Ability: You have a track record of consulting with senior executives and defending your data-driven recommendations with confidence.

Responsibilities

Synthesizing Enterprise Data: Integrating data across our entire infrastructure—including CRM, billing, and market data — to create a unified 360-degree customer base and revenue lifecycle.
Statistical Modeling for Growth: Applying advanced analytical methods in R to assess historical performance as the foundation for predictive models focused on churn likelihood, upsell potential, and LTV.
Architecting Revenue Workflows: Building and optimizing efficient data reporting pipelines that deliver high-fidelity, consistent insights to Sales and Account Management leadership.
Strategic Value Attribution: Partnering with senior leaders and pricing teams to quantify customer value attribution, translating complex data into measurable outcomes and forward-looking revenue strategies.