Director of Data and Analytics

FASTer Way is one of the fastest-growing digital health and fitness companies in the United States, having been named to the Inc. 5000 list three times and recognized as the #1 fastest-growing digital fitness and nutrition company in the country. Founded in 2016 by Amanda Tress and headquartered in Clearwater, Florida, the company has served nearly 600,000 clients through its clinically backed virtual program combining intermittent fasting, carb cycling, whole-food nutrition, and strength training.

The business operates a nationwide network of certified coaches and a proprietary mobile app, supporting clients in achieving sustainable fat loss, improved energy, and long-term wellbeing. FASTer Way is a mission-driven organization focused on helping people get well, prevent disease, and live with energy and purpose.

As the Director of Data & Analytics, you will own FASTer Way's data infrastructure, architecture and reporting from end to end, combining hands-on data engineering with business-facing BI leadership. Working with technology leadership, you will set the vision, strategy and operating model for how we collect, structure, analyze and use data to guide decisions. Partnering closely with business leaders, system owners, engineering teams and external data engineering vendors, you will deliver reliable reporting, insights and data products that support company performance.

Ultimately, you will lead FASTer Way's move to scalable, industry-standard data and reporting practices that fuel the continued growth of our wellness mission.

• Data Strategy & Architecture: Define the enterprise data strategy, architecture and governance framework, and establish data modeling standards, naming conventions and analytical structures across business domains.
• Data Lifecycle Ownership: Own the end-to-end data lifecycle, including ingestion, transformation, storage, modeling and consumption.
• Source Data Quality: Partner with system owners across Commerce, CRM, Mar Tech, Digital Product and Operations to ensure accurate, reliable source data, and recommend improvements to source system structures and workflows.
• Reporting & Business Intelligence: Build, maintain and optimize Lightdash models, dashboards and reporting suites, and create a consistent reporting UI/UX standard for clarity, usability and data storytelling.
• KPI & Measurement Frameworks: Partner with business leaders to define KPIs, measurement frameworks and reporting structures aligned to strategic priorities, and translate analytical needs into actionable insights.
• Data Engineering & Infrastructure: Build reliable data pipelines using GCP-native tools and modern ELT/ETL processes, and monitor and optimize pipeline performance, data quality, warehouse costs and system reliability.
• Quality & Documentation: Establish documentation, metric definitions, QA processes and automated data validation frameworks.
• AI & Innovation: Identify emerging technologies, AI/ML applications and tooling enhancements that improve efficiency and insight quality.
• Team Leadership: Lead, mentor and develop a high-performing data engineering and analytics team.
• Vendor Management: Manage outsourced data engineering partners, setting expectations, SLAs and delivery plans, and ensure tight coordination between external vendors and internal teams.

• Education: Degree in mathematics, computer science, engineering or a related field; equivalent experience considered.
• Core
  
  Experience:
  
  7+ years in data engineering, analytics engineering, BI development or data architecture within a modern tech or e-commerce environment, including owning data pipelines, models and BI environments end to end.
• Technical Proficiency: Strong SQL and BI tool skills, including building Lightdash (or equivalent) dashboards and semantic models; hands-on GCP and Big Query experience strongly preferred.
• Data Architecture: Expertise in cloud data architecture, warehouse design, analytical modeling, ELT/ETL, data quality frameworks and integration patterns.
• Business Systems: Experience with e-commerce platforms (Shopify), CRM systems, Mar Tech ecosystems and customer data platforms such as Hub Spot and Hightouch.
• Data Storytelling: Exceptional communication skills that help non-technical stakeholders understand insights clearly.
• Builder Mindset: Demonstrated ability to build a function from the ground up, defining structure, standards and…