
11 - 50 employees
Founded 2014
💼 Consulting
📣 Marketing
🎲 Gambling
💰 $6.9M Series B - Swish Analytics on 2019-05
Consulting • Marketing • Gambling
Swish Analytics is a machine-learning driven sports-odds and predictive-data company that builds a real-time odds origination engine for sportsbooks and fantasy platforms. It provides hyper-accurate player prop pricing, match and team markets, in-play and pre-game projections, and automated bet-lifecycle management to power bookmaking, bet builders, parlays, and micro-markets. Swish positions itself as a B2B provider focused on automation, accuracy, and scalable odds infrastructure for the sports betting industry.
🔥 16 minutes ago
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11 - 50 employees
Founded 2014
💼 Consulting
📣 Marketing
🎲 Gambling
💰 $6.9M Series B - Swish Analytics on 2019-05
Consulting • Marketing • Gambling
Swish Analytics is a machine-learning driven sports-odds and predictive-data company that builds a real-time odds origination engine for sportsbooks and fantasy platforms. It provides hyper-accurate player prop pricing, match and team markets, in-play and pre-game projections, and automated bet-lifecycle management to power bookmaking, bet builders, parlays, and micro-markets. Swish positions itself as a B2B provider focused on automation, accuracy, and scalable odds infrastructure for the sports betting industry.
• 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 support client needs • Troubleshoot client issues in real time and translate technical concepts into clear, actionable guidance • Identify client pain points, usage gaps, and opportunities to improve retention and satisfaction • Partner with Trading, Product, Engineering, and Data Science teams to resolve issues and relay client feedback • Monitor client performance and engagement to ensure successful onboarding and ongoing adoption • Contribute to internal documentation, playbooks, and process improvements to scale Customer Success operations
• 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) • Comfortable with technical concepts, including APIs and data feeds • Strong understanding of sports betting markets
• Equal Opportunity Employer policy • Potential background and reference checks
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