Head of Data & Analytics

THE TEAM YOU WILL BE JOINING:

• Rapidly scaling, private equity backed consumer services and retail company with multiple brands and 500+ locations and counting across 23 states
• Incredible C-Suite fostering a cohesive, results-driven culture. Making their mark by creating best-in-class service and experience as they become a market leader

• An enriching environment where you can learn, grow, and make a lasting impact
• Opportunity to work with a variety of internal teams to help them solve their data needs
• Highly engaged C-Suite and Leadership team, committed to the growth and development of their people
• Competitive compensation package and a comprehensive suite of benefits

• Define and lead the company's enterprise data strategy, aligning with business priorities and growth objectives.
• Oversee a cross-functional team of data engineers and BI/analytics professionals, driving a culture of innovation and collaboration.
• Serve as the primary steward of our data ecosystem across Azure and Google Cloud Platform (GCP), ensuring integration, governance, and quality.
• Establish scalable data infrastructure and analytics capabilities that support operational insights, customer intelligence, and performance tracking.
• Partner with cross-functional teams (Operations, Marketing, Finance, etc.) to translate business needs into data solutions.
• Standardize and streamline reporting, ensuring consistency, usability, and impact.
• Stay hands-on as needed to support complex initiatives, resolve architectural challenges, or implement critical reporting components.

• 8+ years of progressive experience in data and analytics, including 3+ years in a leadership role.
• Proven experience developing and executing enterprise-wide data strategy (multi-location, operations-heavy or retail environment preferred)
• Strong understanding of modern cloud data architecture, experience in Azure and/or GCP preferred.
• Hands-on expertise with Business Intelligence reporting tools (Power BI, Tableau, Qlik) and a solid understanding of their appropriate use cases.
• Demonstrated ability to lead and mentor diverse data teams, balancing technical depth with business alignment.
• Excellent communication skills with the ability to engage technical and non-technical stakeholders at all levels.
• Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or a related field.