Senior Manager - Business Analytics
About the role
Join our Winning Team as a Senior Manager - Business Analytics! 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.
Responsibilities
- Drive the Analytical Vision: Define and lead a high-impact roadmap that transforms raw data into a competitive advantage, proactively identifying growth opportunities across all global business units
- Competitive Intelligence: Lead the function responsible for monitoring the competitive landscape, translating market shifts into actionable business pivots
- Data Protection & Governance: Partner with Product, Legal and IT to oversee data protection functions, ensuring our analytical practices meet global compliance standards
- Executive Storytelling & Influence: You will present complex findings to senior management with a focus on "The Why." You will turn data into a story that inspires action
- Stakeholder Management: Act as the primary liaison for senior leadership, providing frequent, high-level updates on key analytical initiatives and ROI
- Lead from the Front: Manage and mentor a team of high-performing analysts, acting as a technical 'player-coach' who can dive into complex modeling or architectural hurdles to unblock the team when necessary
- Talent Development: Build a culture of continuous learning, ensuring the team stays ahead of emerging trends in AI, ML, and predictive analytics
- Cross-Functional Collaboration & Leadership: Work alongside Sales & Marketing, Product, and Engineering to identify revenue growth opportunities through deep-dive performance analysis
- The CoE: Grow the Center of Excellence: Act as a key member of the Analytics CoE, establishing enterprise-wide standards for KPIs, data lineage, and analytical methodology to ensure a single source of truth across CARFAX
- Operationalize AI: Help lead the transition from descriptive to predictive analytics. You will "bring AI to life" by deploying models that automate anomaly detection and competitive trend forecasting
- ROI: Partner with Finance to quantify the ROI of data acquisition and analytical initiatives, ensuring our roadmap is prioritized by business impact and revenue potential
Requirements
- Experience: 8+ years of progressive experience in data analytics, with at least 3 years in a leadership role. Preference given to candidates who have navigated the transition to an analytics center of excellence model
- Technical Mastery: Advanced proficiency in SQL, Python/R, and visualization tools (Tableau/PowerBI). You should be able to review code and challenge methodology
- The "So What?" Factor: A proven track record of presenting to C-Suite executives and successfully influencing multi-million-dollar business decisions
- AI Practicality: Proven ability to identify high-impact AI use cases and lead them from concept to production
- Education: Bachelor’s or Master’s degree in a quantitative field (e.g., Statistics, Economics, Data Science) or equivalent professional experience
Qualifications
- Experience: 8+ years of progressive experience in data analytics, with at least 3 years in a leadership role. Preference given to candidates who have navigated the transition to an analytics center of excellence model
- Technical Mastery: Advanced proficiency in SQL, Python/R, and visualization tools (Tableau/PowerBI). You should be able to review code and challenge methodology
- The "So What?" Factor: A proven track record of presenting to C-Suite executives and successfully influencing multi-million-dollar business decisions
- AI Practicality: Proven ability to identify high-impact AI use cases and lead them from concept to production
- Education: Bachelor’s or Master’s degree in a quantitative field (e.g., Statistics, Economics, Data Science) or equivalent professional experience
Skills
- Advanced proficiency in SQL, Python/R, and visualization tools (Tableau/PowerBI)
- Ability to review code and challenge methodology
- Presentation skills to C-Suite executives
- Proven ability to identify high-impact AI use cases and lead them from concept to production
- Bachelor’s or Master’s degree in a quantitative field (economics, statistics, data science), or equivalent professional experience
Benefits
- Competitive compensation, benefits and generous time-off policies
- 4-Day summer work weeks and a winter holiday break
- 401(k)/DCPP matching
- Annual bonus program
- Casual, dog-friendly, and innovative office spaces
Pay
The anticipated annual base salary range for this position is $115,000 - $200,000. Actual compensation within this range will be determined based on a variety of factors, including geographic location, relevant experience, skills, qualifications, and internal equity considerations.
Schedule
This position will require 3 days per week in our Centreville, VA office, subject to change with future business needs.
Carfax is an Affirmative Action/Equal Opportunity Employer
We are committed to providing accommodations by request for candidates taking part in all aspects of the recruitment and selection process. For a confidential inquiry or to request an accommodation, please contact your recruiter or email [email protected].
Additional Information
For a comprehensive list of benefits, please visit our website: https://jobs.jobvite.com/carfax/p/benefits