Customer Success Associate

Job not on LinkedIn

🔥 16 minutes ago

🇬🇧 United Kingdom – Remote

⏰ Full Time

🟢 Junior

🟡 Mid-level

🏆 Customer Success

👻 Ghost score 10%

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Logo of Swish Analytics

Swish Analytics

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.

📋 Description

• 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

🎯 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) • Comfortable with technical concepts, including APIs and data feeds • Strong understanding of sports betting markets

🏖️ Benefits

• Equal Opportunity Employer policy • Potential background and reference checks

Apply Now

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