Director of Data and Analytics

Faster Way to Fat Loss • Clearwater, FL

5d

About The Position

As Director of Data & Analytics, you will own FASTer Way’s data infrastructure, architecture, and reporting end to end, combining hands-on data engineering with business-facing BI leadership. In partnership with technology leadership, you will set the vision, strategy, and operating model for collecting, structuring, analyzing, and using data to guide decisions. You will work closely with business leaders, system owners, engineering teams, and external data engineering vendors to deliver reliable reporting, insights, and data products that support company performance. The role will lead the company’s move to scalable, industry-standard data and reporting practices that support its wellness mission.

FASTer Way is a digital health and fitness company founded in 2016 and headquartered in Clearwater, Florida. Its virtual program combines intermittent fasting, carb cycling, whole-food nutrition, and strength training, supported by a nationwide network of certified coaches and a proprietary mobile app. The company’s mission is to help people get well, prevent disease, and live with energy and purpose.

Requirements

• Degree in mathematics, computer science, engineering, or a related field; equivalent experience is considered.
• At least 7 years of experience in data engineering, analytics engineering, BI development, or data architecture within a modern technology or e-commerce environment.
• Experience owning data pipelines, models, and BI environments end to end.
• Strong SQL and BI tool skills, including experience building Lightdash or equivalent dashboards and semantic models.
• Expertise in cloud data architecture, warehouse design, analytical modeling, ELT/ETL, data quality frameworks, and integration patterns.
• Experience with e-commerce platforms, CRM systems, MarTech ecosystems, and customer data platforms such as Shopify, HubSpot, and Hightouch.
• Exceptional communication skills, including the ability to explain insights clearly to non-technical stakeholders.
• Demonstrated ability to build a function from the ground up, define its structure, standards, and strategy, and create clarity in a high-growth environment.
• Strong stakeholder management and cross-functional alignment skills.

Nice To Haves

• Hands-on experience with GCP and BigQuery is strongly preferred.
• A master’s degree in a related field.
• Certifications in GCP, analytics engineering, or BI tooling.
• Familiarity with AWS data sources and services.
• Familiarity with Agile/Scrum frameworks, Jira, Confluence, GitHub, and modern SDLC practices.
• Familiarity with LLMs, prompt engineering, and AI-driven analytics and automation tools.

Responsibilities

• Define the enterprise data strategy, architecture, and governance framework; establish data modeling standards, naming conventions, and analytical structures across business domains.
• Own the end-to-end data lifecycle, including ingestion, transformation, storage, modeling, and consumption.
• Partner with system owners across Commerce, CRM, MarTech, Digital Product, and Operations to ensure reliable source data and recommend improvements to source-system structures and workflows.
• Build, maintain, and optimize Lightdash models, dashboards, and reporting suites; establish a consistent reporting UI/UX standard focused on clarity, usability, and data storytelling.
• Partner with business leaders to define KPIs, measurement frameworks, and reporting structures aligned with strategic priorities, and translate analytical needs into actionable insights.
• Build reliable data pipelines using GCP-native tools and modern ELT/ETL processes; monitor and optimize pipeline performance, data quality, warehouse costs, and system reliability.
• Establish documentation, metric definitions, QA processes, and automated data validation frameworks.
• Identify emerging technologies, AI/ML applications, and tooling enhancements that improve efficiency and insight quality.
• Lead, mentor, and develop a high-performing data engineering and analytics team.
• Manage outsourced data engineering partners by setting expectations, SLAs, and delivery plans, and coordinate their work with internal teams.

What This Job Offers

• Job Type: Full-time
• Career Level: Director