Company Description
Swish Analytics is a sports analytics, betting and fantasy startup building the next generation of predictive sports analytics data products. We believe that oddsmaking is a challenge rooted in engineering, mathematics, and sports betting expertise; not intuition. We're looking for team-oriented individuals with an authentic passion for accurate and predictive real-time data who can execute in a fast-paced, creative, and continually-evolving environment without sacrificing technical excellence. Our challenges are unique, so we hope you are comfortable in uncharted territory and passionate about building systems to support products across a variety of industries and consumer/enterprise clients.
Role Overview
This is a client-facing role focused on supporting and growing relationships with B2B customers in the sports betting and fantasy space. You will act as a trusted partner to clients, helping them maximize the value of Swish’s products while ensuring a seamless day-to-day experience.
This role requires strong communication skills, comfort with technical concepts (APIs, data feeds), and a deep understanding of sports betting markets.
Location: High preference for UK or within a commutable distance
Key Responsibilities
Reporting to EMEA Customer Success Manager, you will serve as a key point of contact for B2B clients, managing inbound inquiries via Slack, email, and video calls
Develop deep expertise in Swish’s products, data, and workflows to effectively support client needs
Troubleshoot client issues in real time, translating technical concepts into clear, actionable guidance
Proactively identify client pain points, usage gaps, and opportunities to improve retention and satisfaction
Partner cross-functionally with Trading, Product, Engineering, and Data Science teams to resolve issues and relay client feedback
Monitor client performance and engagement, ensuring successful onboarding and ongoing adoption
Contribute to internal documentation, playbooks, and process improvements to scale Customer Success operations
Requirements
Bachelor’s degree or equivalent practical experience
Fluency in English (written and verbal)
Must be based within the CET time zone (±1 hour)
Strong communication skills with the ability to explain complex or technical topics clearly
Solid understanding of sports betting fundamentals, including odds, markets, and trading concepts
Knowledge of major global sports, with emphasis on football, tennis and U.S. sports (NBA, NFL, MLB, NHL, NCAA)
Skills Required
- Bachelor's degree or equivalent practical experience
- Fluency in English, written and verbal
- Must be based within the CET time zone, plus or minus one hour
- Strong communication skills and ability to explain complex or technical topics clearly
- Solid understanding of sports betting fundamentals, including odds, markets, and trading concepts
- Knowledge of major global sports, especially football, tennis, NBA, NFL, MLB, NHL, and NCAA sports
What We Do
Swish Analytics builds predictive sports-analytics products and B2B betting solutions, specializing in odds origination, risk management, and trading software for major U.S. sports. Using machine learning and statistical modeling, it prices player propositions and delivers real-time predictive data for sportsbooks, fantasy platforms, and sports organizations across U.S. and international markets, offering enterprise APIs and analytics to drive automated oddsmaking and trading decisions.
