Senior Data Analyst

Job Description

The Senior Data Analyst / Data Engineer role sits within our BI analytics team and is responsible for transforming complex data into actionable insights that support business growth, customer engagement, operational efficiency, responsible gaming, and AML initiatives.

Working within a fast-paced iGaming environment, the successful candidate will need to demonstrate agility, adaptability, and the ability to deliver high-quality analysis within tight deadlines.

The role requires balancing ad hoc analytical requests with strategic projects, while ensuring data-driven insights are delivered quickly and effectively to support business decision-making.

Key Responsibilities

• Analyse customer behaviour, acquisition, conversion, retention, player value, and revenue trends.
• Design, build, and maintain scalable data models and analytical datasets.
• Develop predictive and analytical models using for exp. SQL/Python to support commercial, marketing, fraud, and customer lifecycle initiatives.
• Build, automate, and optimise reporting processes, dashboards, and analytical frameworks. (PowerBI & Cluvio)
• Identify trends, opportunities, and risks within large datasets and translate findings into actionable business recommendations.
• Conduct cohort, conversion, retention, profitability, and revenue analysis.
• Automate recurring reporting and analytical processes to improve efficiency and reduce manual effort.
• Extract actionable insights from reports and data, presenting clear recommendations that drive measurable business outcomes.
• Work closely with stakeholders across Product, Marketing, Operations, Finance, Fraud, and Compliance teams to solve business problems and support strategic decision-making.
• Present complex analytical findings in a clear and concise manner to both technical and non-technical stakeholders.
• Contribute to the continuous improvement of data infrastructure, data quality, and analytics capabilities.

Key Requirements

• Advanced SQL skills and experience working with large-scale data warehouses.
• Strong Python skills with experience in automation, data modelling, statistical analysis, or machine learning.
• Experience building and maintaining robust data pipelines, analytical models, and reporting solutions.
• Experience with BI and visualisation tools such as Power BI, Cluvio, or similar.
• Strong analytical, problem-solving, and commercial-thinking abilities.
• Ability to manage multiple priorities and perform effectively in a fast-moving environment with changing business requirements.
• Proven ability to translate complex data into meaningful business insights and recommendations.
• Strong communication and stakeholder management skills.
• Experience within iGaming, financial services, e-commerce, or another highly data-driven industry would be advantageous.