
// Open Role at Entain
Join Entain as an Analytics Engineer, bridging data and business decision-making to deliver actionable insights within the exciting iGaming industry. Leverage your SQL and BI tool expertise to own reporting domains and drive data-driven strategies.
About Entain
There's nothing like a career at Entain. We're a leading, global sports betting and gaming company and we're upping the excitement and increasing player safety. We're a FTSE company with iconic brands including Ladbrokes, Coral, BetMGM, Eurobet and bwin, and we have an energy that drives us to perform at the height of our potential. Whether you're an engineer, marketer or retail specialist, a career here is a complete game changer.
This is a hybrid role. As an Analytics Engineer, you will sit at the core of our Analytics Engineering function, bridging the gap between data and business decision-making and helping teams turn complex data into clear, actionable insights.
Reporting to the Head of Analytics Engineering, you will be part of the Analytics Engineering team, working closely with stakeholders across Product, Marketing, CRM and Operations. You will extract and analyse data from our cloud data warehouse, build scalable dashboards and reporting solutions, and deliver ad-hoc analysis that supports better decision-making. You will also own key reporting domains and contribute to the team's migration towards modern BI tooling.
This is an ideal opportunity for someone who combines strong technical skills with commercial curiosity and wants to grow their analytical career within the iGaming industry. You'll have the opportunity to challenge assumptions, influence decisions and help shape how data is used across the business. Ready to turn data into insights that make a real impact?
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Benefits
At Entain, we know that signing top players requires a great starting package, and plenty of support to inspire you. Join us, and a great compensation package is just the beginning. You can expect to receive benefits like:
How we use Artificial Intelligence (AI) in recruitment
We may use approved AI tools to make recruitment simpler and more efficient, while keeping people at the heart of what we do. These tools support our teams and give them more time to focus on you.
Fairness, transparency and trust
Our recruiters and hiring managers oversee how we use AI and remain responsible for hiring decisions. These tools support administrative aspects of the recruitment process, giving our teams more time to focus on you We're open about its use and handle your information following our Job Applicant Privacy Notice. AI supports our decisions, it doesn't make them.
Equal Opportunities.
If you need any reasonable adjustments at any stage of the recruitment process, please contact us and we'll support you.
We're committed to creating a diverse, equitable and inclusive workplace where everyone feels valued, respected and able to be themselves.
We're an equal opportunities employer. We welcome applications from everyone and we do not discriminate based on age, disability, gender or gender reassignment, pregnancy or maternity, race, religion or belief, sexual orientation, marriage/civil partnership, or any other basis.
We comply with all applicable recruitment regulations and employment laws in the jurisdictions where we operate, ensuring ethical and compliant hiring practices globally.
#LI-Hybrid
- Extract, manipulate, and analyse large datasets from Snowflake using SQL, turning data into clear, actionable insights. - Build and maintain dashboards and reporting solutions in Omni Analytics and other BI tools. - Own one or more reporting domains (e.g., Sports, Casino, CRM, Acquisition). - Translate business questions into structured analysis, delivering concise and impactful insights. - Deliver ad-hoc analysis to support decision-making across multiple business areas. - Design and develop reporting models that integrate multiple data sources. - Contribute to the development and maintenance of self-serve analytics. - Collaborate with Data Engineering teams to improve data availability, quality, and usability. - Participate in the migration of existing reports from legacy tools to modern BI platforms. - Perform data validation, reconciliation, and root-cause analysis. - 3+ years of experience in data analytics, business intelligence, or reporting roles. - Advanced SQL skills, with the ability to query, optimise, and model large datasets in Snowflake or similar cloud data warehouses. - Strong proficiency in reporting tools - building reports, data models, and calculated measures. - Proficiency in Excel for data analysis and validation. - Working knowledge of Git and version control workflows. - Strong ability to translate business requirements into structured, reliable analytical outputs. - Fluent level of written and spoken English.