We’re revolutionizing the fitness & wellness industry, and we’re looking for talented people to help us do it. Mindbody + ClassPass bring together the best of both sides of the market: Mindbody is the industry’s most trusted all-in-one technology platform; ClassPass is one of the most popular apps for fitness & self-care enthusiasts. Together we’re partnering with more than 70,000 fitness studios, gyms, salons, and spas around the world. We’re not just another tech company—we’re far and away the leader of our industry. So join the team, work with mission-led people, and enjoy amazing benefits. Let’s see what we can accomplish together!

SKILLS & EXPERIENCE

• Bachelor’s Degree Preferred
• 3+ Years in business analytics or business intelligence
• Strong business acumen
• Experience with stakeholders, decision-makers, and/or clients
• Strong communication skills in speech and writing
• Proficiency with A/B testing
• Proficiency in SQL
• Deep sense of intellectual curiosity
• Knowledge and/or experience with BI tools (Tableau, Looker preferred)
• Ability to work independently

HAVE WE PIQUED YOUR CURIOSITY?

Sound like the role for you? We’d love to hear from you! Even if you’re not 100% sure about potential fit, we still encourage you to apply. We’re looking for the right person, not the perfect series of checkboxes.
Mindbody is an Equal Opportunity Employer. We highly value diversity at our company and encourage people of all different backgrounds, experiences, abilities and perspectives to apply. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, disability status, or other protected characteristics.
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• Conduct and present causal inference, unit-economic, and audience segment analyses with a clear intention to affect change within the company
• Create functional dashboards to communicate micro and macro-level trends in the Wellness space
• Design experiments to guide pricing and packaging recommendations
• Develop SQL models used to report on data across production, business, and 3rd party systems
• Collaborate cross-functionally within initiatives to drive strategy around learnings and insights
• Build out new data models with accuracy, scalability, and interpretability in mind