At a Glance
- Tasks: Support and grow relationships with B2B clients in the sports betting and fantasy space.
- Company: Join Swish Analytics, a dynamic startup revolutionising sports analytics and betting.
- Benefits: Fully remote work, flexible hours, and opportunities for professional growth.
- Other info: Work in a fast-paced environment with a focus on technical excellence.
- Why this job: Be a trusted partner to clients and make an impact in the exciting world of sports analytics.
- Qualifications: Strong communication skills and a passion for sports betting are essential.
The predicted salary is between 30000 - 40000 £ per year.
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.
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: Fully remote, must be based within CET (Central European Time) ±1 hour.
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).
- Ability to manage multiple client conversations simultaneously in a fast-paced environment.
- Highly organized, detail-oriented, and solutions-driven mindset.
- Willingness to work flexible hours, including evenings, weekends, and holidays as needed.
Preferred Qualifications
- 2+ years of experience in Customer Success, Account Management, or Support in a B2B environment.
- Experience in the sports betting or sports analytics industry.
- Familiarity with API-based products, data feeds, or technical integrations.
- Experience working closely with Engineering or Product teams.
- Comfort using tools like Slack, Jira, CRM systems, and analytics dashboards.
Swish Analytics is an Equal Opportunity Employer. All candidates who meet the qualifications will be considered without regard to race, color, religion, sex, national origin, age, disability, sexual orientation, pregnancy status, genetic, military, veteran status, marital status, or any other characteristic protected by law. The position responsibilities are not limited to the responsibilities outlined above and are subject to change. At the employer’s discretion, this position may require successful completion of background and reference checks.
Customer Success Associate in London employer: Swish Analytics
Swish Analytics is an exceptional employer that fosters a dynamic and innovative work culture, perfect for those passionate about sports analytics and customer success. With a fully remote setup within the CET time zone, employees enjoy flexibility while collaborating with a diverse team of experts across various fields. The company prioritises employee growth through continuous learning opportunities and encourages a proactive approach to problem-solving, making it an ideal place for individuals seeking meaningful and rewarding careers in a fast-paced environment.
StudySmarter Expert Advice🤫
We think this is how you could land Customer Success Associate in London
✨Tip Number 1
Get to know Swish Analytics inside out! Familiarise yourself with our products and the sports betting landscape. This will not only help you in interviews but also show your genuine interest in the role.
✨Tip Number 2
Practice your communication skills! Since this role is client-facing, being able to explain complex concepts clearly is key. Try role-playing with a friend or family member to get comfortable.
✨Tip Number 3
Network like a pro! Connect with current employees on LinkedIn or join relevant groups. This can give you insider tips and might even lead to a referral, which can boost your chances!
✨Tip Number 4
Don’t forget to apply through our website! Completing the application process fully is crucial. Make sure you follow all steps after clicking 'Apply Now' to ensure your application is considered.
We think you need these skills to ace Customer Success Associate in London
Some tips for your application 🫡
Read the Job Description Carefully:Before you dive into the application, take a moment to really understand what we're looking for. Make sure you know the key responsibilities and requirements so you can tailor your application to show us you're the perfect fit!
Show Your Passion for Sports Analytics:We love candidates who are genuinely excited about sports analytics and betting. In your application, let us know why this field interests you and how your background aligns with our mission at Swish Analytics.
Highlight Your Communication Skills:Since this role is all about client interaction, make sure to showcase your strong communication skills. Use clear and concise language in your application to demonstrate that you can explain complex concepts easily.
Apply Through Our Website:Once you're ready, hit that 'Apply Now' button and complete the application process on our website. It's the best way for us to get your details and ensure you’re considered for the role!
How to prepare for a job interview at Swish Analytics
✨Know Your Stuff
Make sure you have a solid understanding of Swish’s products and the sports betting landscape. Brush up on key concepts like odds, markets, and trading. This will help you answer questions confidently and show your passion for the industry.
✨Communicate Clearly
Since this role involves a lot of client interaction, practice explaining technical concepts in simple terms. You might be asked to demonstrate how you would troubleshoot a client issue, so think about how you can break down complex ideas into clear, actionable steps.
✨Show Your Problem-Solving Skills
Prepare examples of how you've identified and resolved client pain points in the past. Think about times when you’ve improved customer satisfaction or retention. This will showcase your proactive mindset and solutions-driven approach.
✨Be Ready for a Fast-Paced Environment
This role requires juggling multiple client conversations at once. Practice staying organised and managing your time effectively. You might want to simulate a busy day with mock calls or emails to get comfortable with the pace.