By bringing together next-gen technology and the finest live data available, Genius Sports is enabling a new era of sports for fans worldwide, delivering experiences that are more immersive, interactive and personalised than ever before. Learn more at geniussports.com.
THE ROLE:
Join the Genius team helping sportsbooks level up with live data, expert services, and fan-first experiences that drive global engagement.
As a Sports Events Analyst, you’ll make sure live sports information is accurate, up to date, and delivered in real time. You’ll monitor and update matches in sports like tennis and table tennis, collect and validate live data from events worldwide, and keep the company database running smoothly through precise data entry and updates.
With the support of our expert team, you’ll receive full training and work with custom software to develop your skills. No prior experience is required — this is your opportunity to launch a career in the sports services sector and be part of the action as it happens.
Please note that this is a part-time, office-based position that requires availability during weekdays and standard working hours!
WHAT YOU'LL BRING:
We enjoy an ‘office-first’ culture and maximize opportunities to collaborate, connect and learn together. Our hybrid working models differ depending on your role and location.
As well as a competitive salary and range of benefits, we’re committed to supporting employee wellbeing and helping you grow your skills, experience and career. Learn more about how rewarding life at Genius can be at Reward | Genius Sports.
One team, being brave, driving change
We strive to create an inclusive working environment, where everyone feels a sense of belonging and the ability to make a difference. Learn more about our values and culture at Culture | Genius.
Let us know when you apply if you need any assistance during the recruiting process due to a disability.
Work on cutting-edge sports data and analytics. Join a team that's revolutionizing how we understand sports performance with AI and machine learning.
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