data analyst in iGaming

pawaTech is an iGaming solutions provider delivering sportsbook, casino, lottery, and player management software as a service. It powers betPawa, Africa’s largest betting brand, across multiple markets, with a scalable platform serving millions of active users and processing thousands of transactions per second.

• Analyse player behaviour, game performance, profitability, and customer engagement across the Casino product to identify trends and opportunities;
• Build and maintain dashboards, reports, and data visualisations for product and business decision-making;
• Perform ad hoc analysis to answer business questions and evaluate games, features, and promotions;
• Develop and improve product metrics, KPIs, and analytical reporting to support Casino product growth;
• Work with different teams to understand reporting requirements and ensure accurate, meaningful data availability;
• Contribute to analytical datasets, reporting structures, and ETL processes;
• Validate data quality and help ensure reporting accuracy and consistency;
• Present analytical findings and recommendations to technical and non-technical stakeholders;
• Suggest new metrics and analytical approaches that support business growth.

• At least 5 years of experience in Business Intelligence, Product Analytics, Data Analytics, or a similar role;
• Experience working with Casino or iGaming products in a start-up or scale-up environment;
• Strong SQL skills and experience working with large, complex datasets;
• Experience using Python for data analysis;
• Experience with data visualisation tools such as Tableau, Redash, Power BI, or similar platforms;
• Experience with cloud-based analytical platforms such as BigQuery or Google Cloud Platform;
• Strong analytical thinking and the ability to turn data into meaningful business insights and recommendations;
• Excellent communication and presentation skills, with confidence discussing data with technical and non-technical stakeholders;
• Comfortable working with developers, data engineers, and business stakeholders to define reporting requirements and analytical solutions;
• Ability to work independently, proactively suggest improvements, and thrive in a fast-paced, flat organisation;
• Nice to have: hands-on experience with ClickHouse, experience working with Airflow or Google Cloud Run, experience building product and business dashboards from large datasets.

• Contract employment;
• Flexible environment and team events;
• Growth opportunities inside dedicated senior teams and career prospects;
• Modern technological stack and innovative approach;
• AI-driven tools to enhance productivity and streamline workflows;
• Compensation that recognises achievements and team budgets.