SWTHZ is the fastest growing multi-unit wellness company globally and determined to be the global category leader. We are focused on accelerating the worlds adoption of deliberate exposure to heat and cold through infrared sauna and cold plunge. With 35 open units, and a path to more than 200 in 2025 in the US, SWTHZ is in the early innings of international development.
What to expect
Data is deeply embedded in the product and decision making culture at SWTHZ. We rely on data - lots of it, and growing - to improve customer acquisition, field leadership focus and decision making and the entire customer journey. We collect data from the moment someone interacts with our brand, and are looking to build a fully integrated omni-channel tech experience a next step.
Who we are looking for/Who is right for this role
We are looking for a savvy Data Engineer & Analyst to join our fast growing team. They will identify, collect, analyze, display and communicate core metrics about the business's field performance and the member experience. You are responsible for helping drive the data strategy, and ensuring data engineering, pipelines, governance & visualization are helping drive business outcomes and department support.
Responsibilities
Build & maintain data pipelines, reports and visualization for the organization, specifically field operations, customer acquisition, brand penetration, member behavior, franchisor operations, finance and more
Ensure the data warehouse and ALL things governance are correctly managed
Present and collaborate with cross-functional departments on driving business intelligence
Work directly with the C-Suite on our n next gen tech-enabled, leading the data architecture, collection and processing
Work with and co-manage 3rd party data & software dev partners
Work on special projects specific to all things data, analytics and business intelligence
Qualifications
The ideal candidate is an experienced data pipeline builder, data wrangler and data visualizer who enjoys optimizing data systems and building them from the ground up. The right candidate will be excited by the prospect of optimizing or even redesigning our team's data architecture to support our ever growing tech-enabled member journey
Strong skills in SQL, ETL tools, Python, and database management