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?
You Will:
- Extract, manipulate, and analyse large datasets from Snowflake using SQL, turning data into clear, actionable insights - not just outputs.
- Build and maintain dashboards and reporting solutions in Omni Analytics, and other BI tools, ensuring they are scalable, reliable, and widely adopted by the business.
- Own one or more reporting domains (e.g., Sports, Casino, CRM, Acquisition), becoming the go-to analyst for stakeholders in that area.
- Translate business questions into structured analysis, delivering concise and impactful insights to Product, Marketing, CRM, and Operations stakeholders.
- Deliver ad-hoc analysis to support decision-making across multiple business areas, with a strong focus on speed and accuracy.
- Design and develop reporting models that integrate multiple data sources to provide unified views of business performance.
- Contribute to the development and maintenance of self-serve analytics, enabling stakeholders to independently access and explore data.
- Collaborate with Data Engineering teams to improve data availability, quality, and usability of core business data sources.
- Participate in the migration of existing reports from legacy tools to modern BI platforms (Omni Analytics), ensuring continuity and quality.
- Perform data validation, reconciliation, and root-cause analysis to identify and resolve reporting discrepancies.
You Have:
- 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.
Desired:
- Experience with product analytics — understanding of player lifecycle, product KPIs (Sports, Casino), acquisition, retention, and engagement metrics.
- Experience with Omni Analytics or similar modern BI platforms.
- Experience with dbt or similar data transformation tools.
- Understanding of data modelling principles (star schema, dimensional modelling).
- An understanding of statistical analysis techniques (A/B testing, regression, cohort analysis).
- Experience with CRM analytics or marketing automation platforms (e.g., Optimove).
- Interest in sports and/or familiarity with the sports betting / iGaming industry.
- Portuguese and/or Spanish or Greek language proficiency.
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:
- A regular bonus and great pension.
- €9.60 food vouchers per day.
- 25 days annual leave
- Extra paid leave, including wellbeing and development days.
- Private healthcare and wellbeing support.
- A stake in our success through our ShareSave scheme.
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.
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