Swish Analytics
Provides data-driven sports analytics and predictive modeling for sports betting and fantasy sports markets.
Industry
Sports Analytics, Technology
Headquarters
San Francisco, California, USA
Team Size
—
Founded
2017
Remote
Remote-first or hybrid remote
Remote Hiring Profile
Swish Analytics hires remote teams with a flexible approach to remote work. They currently have 1 remote position listed on WorkAnywhere.pro.
About Swish Analytics
Swish Analytics is a sports analytics company that provides data-driven insights and predictive modeling for sports betting and fantasy sports. Their platform serves both casual and professional sports bettors, fantasy sports players, and sports enthusiasts seeking statistical advantages. The company's main products include real-time odds comparison, player performance projections, and betting market analysis tools. As a technology-focused company in the sports analytics space, Swish Analytics likely operates with a distributed or remote-friendly work culture that emphasizes data science and engineering collaboration.
Tech Stack
Technologies this company commonly uses across product, data, and infrastructure.
Primary Tech
Company Culture
Swish Analytics fosters a data-driven and collaborative work environment where team members work closely across engineering, data science, and product development. The culture emphasizes innovation in sports analytics, with a focus on building sophisticated predictive models and scalable technology solutions. Employees typically engage in agile development processes and cross-functional teamwork to deliver insights to sports betting and fantasy sports markets.
Our Values
Data-driven decision making, innovation in sports analytics, transparency in modeling methodologies, customer-focused product development, and collaborative problem-solving across technical teams.
Benefits & Perks
Typical benefits likely include comprehensive health insurance, remote work flexibility, competitive compensation packages, professional development opportunities, and potentially equity options for employees. As a technology company in the analytics space, they may offer learning budgets for continued education in data science and engineering fields.