Director of Data and Analytics

Faster Way to Fat Loss•South Highpoint, FL

About The Position

As 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 the company collects, structures, analyzes and uses data to guide decisions. You will partner with business leaders, system owners, engineering teams and external data engineering vendors to deliver reliable reporting, insights and data products that support company performance. You will lead FASTer Way’s move to scalable, industry-standard data and reporting practices that support the company’s growth and wellness mission. FASTer Way is a digital health and fitness company founded in 2016 and headquartered in Clearwater, Florida. It operates a nationwide network of certified coaches and a proprietary mobile app, with a virtual program combining intermittent fasting, carb cycling, whole-food nutrition and strength training.

Requirements

Degree in mathematics, computer science, engineering or a related field; equivalent experience is considered.
7+ years in data engineering, analytics engineering, BI development or data architecture within a modern tech or e-commerce environment, including end-to-end ownership of data pipelines, models and BI environments.
Strong SQL and BI tool skills, including 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 such as Shopify, CRM systems, MarTech ecosystems and customer data platforms such as 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 by defining structure, standards and strategy, and comfort creating clarity in a high-growth environment.
Strong stakeholder management and cross-functional alignment skills.

Nice To Haves

Hands-on GCP and BigQuery experience 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, and 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 accurate, reliable source data and recommend improvements to source system structures and workflows.
Build, maintain and optimize Lightdash models, dashboards and reporting suites, and create consistent reporting UI/UX standards for clarity, usability and data storytelling.
Partner with business leaders to define KPIs, measurement frameworks and reporting structures aligned to strategic priorities, and translate analytical needs into actionable insights.
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.
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 ensure close coordination between external vendors and internal teams.