Analytics Engineer (BI)

The Analytics Engineer sits at the core of the 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, the role is part of the Analytics Engineering team and works closely with stakeholders across Product, Marketing, CRM and Operations. The role involves extracting and analysing data from a cloud data warehouse, building scalable dashboards and reporting solutions, delivering ad-hoc analysis, owning key reporting domains, and contributing to the team's migration towards modern BI tooling.

• Extract, manipulate, and analyse large datasets from Snowflake using SQL, turning data into clear, actionable insights rather than 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.

• 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, including 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.

• Experience with product analytics, including 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).
• 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.

• 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.

Entain is a leading, global sports betting and gaming company and a FTSE company with iconic brands including Ladbrokes, Coral, BetMGM, Eurobet and bwin.