Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Data Analyst

Betway Group
London
8 months ago
Applications closed

Related Jobs

View all jobs

Data Analyst

Data Analyst

Data Analyst

Data Analyst

Data Analyst

Data Analyst

On average it takes 5 minutes to apply for this role.

Kick-start your career in the online gaming world and experience the very latest in technology and innovation. 

Do you see yourself as one of those “out-of-the-box thinkers”, “Technical masterminds”, “Outstanding creatives”, or “Mind-boggling number crunchers”? If so, we want to welcome you to the Betway family and celebrate what makes you unique! 

Our global customer base is exploding and we need your skills to support us on this exciting journey! Don’t look back and submit your application before the opportunity passes you by..

Department:Analytics & Insights/Country Management

Who we are
We’re part of Super Group, the NYSE-listed digital gaming company behind some of the world’s leading Sports and iGaming brands. 


At Betway, we’re driven by our shared vision to become the global leader in the online sports betting and casino industry. Our people are forward-thinking team-players who thrive on a collective diversity of skills and backgrounds. Founded in 2006, our teams in Guernsey, London, Malta, Germany, Portugal and Spain are constantly expanding and evolving. 


Who we’re looking for
We’re on a thrilling journey of growth and innovation, and we need passionate, driven individuals to join us. At Betway, every day is action-packed, and we expect you to bring your A-game. In return, you’ll find a supportive environment where your skills can flourish and your career can soar.
Want to be part of an industry leading team? Then look no further. Our mission is to unlock the power of our data by finding innovative ways to analyse, organise, integrate, and visualise information. 


By doing this we empower leaders across the business to make decisions quickly and confidently. You’ll have access to cutting edge technologies and techniques and have access to high performing analysts, data scientists, product managers and marketers. 


Excited by the power of data? You could be just who we want on our team.


Ready to become a game-changer? Supercharge your career with us and be part of something extraordinary. 


Why we need you
We’re on a mission to create extraordinary experiences for our customers, and we believe that your unique skills, passion and superdrive will help us achieve our vision. 
 


What you’ll be doing
As part of your role, your responsibilities will include:

Answering business questions from stakeholders across a wide range of departments  Addressing analysis requests and providing actionable insights Building reports/dashboards, models, and proof of concepts  Partnering with relevant teams to determine campaign effectiveness using performance data Assisting the marketing team to determine ROI and monetary impact of acquisition efforts Improving the flow of reporting/explanations and rationale; explaining performance to relevant stakeholders Maintain knowledge, expertise, and best practises on a suite of data & BI technologies to promote appropriate adoption with the team

This job description is not intended to be an exhaustive list of responsibilities. You may be required to complete other reasonable duties in order to achieve business objectives.
 
Essential skills you’ll bring to the table

The necessary skills that we require for this role include: 

Strong verbal and written communication skills, with the ability to convey complex ideas clearly and effectively Experience working collaboratively in cross-functional teams, with a focus on achieving shared goals Expertise in managing multiple projects simultaneously, with a track record of delivering on time and within scope Exceptional attention to detail, ensuring high standards of quality in all outputs Ability to adapt quickly to changing environments and priorities, maintaining effectiveness in dynamic situations Qualified to degree level in a numeric/data prominent discipline or similar At least 3 years work experience in a data analytics or business intelligence role. Experience with Tableau, Power BI, or other data visualisation tools. Demonstrable SQL skills to query complex data sets for the data analysis. Demonstrable analytical and report development abilities Strong communication and presentation skills Ability to convey concepts, analysis, and insights to technical as well as non-technical audiences. Ability to develop and sustain relationships with key stakeholders and peers Ability to analyse large amounts of data quickly and accurately  Ability to manage a challenging workload, whilst working quickly and precisely under pressure.  Passionate about Data


Desirable skills you’ve got up your sleeve
It would be great if you also have some of the following skills: 

In-depth knowledge of sports betting markets, including odds calculation, betting types and market trends Previous experience in the online gaming or casino industry, with a strong understanding of player behaviour and industry regulations Familiarity with gambling regulations and compliance requirements in various jurisdictions, ensuring adherence to legal standards Experience in developing and executing customer retention strategies Proficient in Excel or other data analysis tools Experience with other BI tools such as Alteryx, and others Experience using the Salesforce Marketing Cloud tool set for campaign reporting (e-mail/push) & extracting data via API Experience of using Google Analytics for reporting and analysis (including BigQuery) Experience with big data analytics tools example: spark or Databricks/Elastic search etc.  Experience of working in a similar industry


Our values are non-negotiables
Our culture is underpinned by core values that are linked to key behavioural competencies. Along with the below behavioural competencies, these are essential for all employees in order for you to embed in and drive our culture forward. 
These competencies are:

Adaptability Ownership and accountability Initiating action Resilience Team orientation Integrity Innovation 


What you’ll get back
We offer a great variety of personal and professional benefits to help you thrive at Betway and Super Group. This includes: 
• We’re dedicated to your supergrowth. Our comprehensive learning and development programmes give you a range of resources and opportunities to expand your skills and advance your career.
• Your hard work and achievements won’t go unnoticed. Our innovative Performance Tool ensures you receive regular, constructive feedback, helping you to continuously improve and reach your full potential.
• Our Employee Assistance programme offers a variety of benefits which you and your family can benefit from. 
o Vitality Health Care
o Unum Dental
o Life Assurance & Income Protection
o Tusker car scheme
o Cycle to Work
o Retail discounts

Be part of that Superclass feeling.
At Super Group, diversity is part of our DNA. With teams across 17 countries, 85 nationalities, and 30 languages, we take equal opportunities seriously, championing a supportive, inclusive and empowering environment wherever you are in the Group. 
It’s all about putting your experience first and ensuring honesty and fairness in all we do. 


Here, your growth is supported and your contributions valued. 


Game on!

Should you not hear from us within 2 weeks, please assume your application has not been successful.

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Machine Learning Recruitment Trends 2025 (UK): What Job Seekers Need To Know About Today’s Hiring Process

Summary: UK machine learning hiring has shifted from title‑led CV screens to capability‑driven assessments that emphasise shipped ML/LLM features, robust evaluation, observability, safety/governance, cost control and measurable business impact. This guide explains what’s changed, what to expect in interviews & how to prepare—especially for ML engineers, applied scientists, LLM application engineers, ML platform/MLOps engineers and AI product managers. Who this is for: ML engineers, applied ML/LLM engineers, LLM/retrieval engineers, ML platform/MLOps/SRE, data scientists transitioning to production ML, AI product managers & tech‑lead candidates targeting roles in the UK.

Why Machine Learning Careers in the UK Are Becoming More Multidisciplinary

Machine learning (ML) has moved from research labs into mainstream UK businesses. From healthcare diagnostics to fraud detection, autonomous vehicles to recommendation engines, ML underpins critical services and consumer experiences. But the skillset required of today’s machine learning professionals is no longer purely technical. Employers increasingly seek multidisciplinary expertise: not only coding, algorithms & statistics, but also knowledge of law, ethics, psychology, linguistics & design. This article explores why UK machine learning careers are becoming more multidisciplinary, how these fields intersect with ML roles, and what both job-seekers & employers need to understand to succeed in a rapidly changing landscape.

Machine Learning Team Structures Explained: Who Does What in a Modern Machine Learning Department

Machine learning is now central to many advanced data-driven products and services across the UK. Whether you work in finance, healthcare, retail, autonomous vehicles, recommendation systems, robotics, or consumer applications, there’s a need for dedicated machine learning teams that can deliver models into production, maintain them, keep them secure, efficient, fair, and aligned with business objectives. If you’re hiring for or applying to ML roles via MachineLearningJobs.co.uk, this article will help you understand what roles are typically present in a mature machine learning department, how they collaborate through project lifecycles, what skills and qualifications UK employers look for, what the career paths and salaries are, current trends and challenges, and how to build an effective ML team.