Head of Business Intelligence

• Partner with a variety of business teams and external agencies to gather, document and maintain business requirements that will inform data modelling decisions.
• Lead the strategic design, delivery and maintenance of the business intelligence program that will support institutional priorities.
• Provide vision and leadership to ensure maturation of business intelligence within the institution.
• Collaboratively and extensively investigate, analyze and interpret business information needs based on a strong understanding of business processes, drivers and priorities.
• Develop and implement governance and post-implementation evaluation over all activities to ensure outcomes achieved meet institutional objectives.
• Identify data quality issues and support information governance by participating in necessary activities and assisting in the development of and adherence to database and development standards.
• Provide high level conceptual and technical expertise and understanding of data warehousing and business intelligence best practice.
• Compile data from various sources into a single, consumable, data set, including design and implementation of data models.
• Use quantitative analysis to analyse data and help drive business decisions.
• Identify opportunities for increased automation and efficiency through technical solutions.
• Utilize a hypothesis-driven problem-solving approach to design, construct, and rapidly test/iterate exploratory data-mining analyses to reveal insights.
• Interprets and communicates insights to Senior Management.
• Works with business leaders to identify and develop metrics and visualizations that will track performance and highlight potential inefficiencies.

• At least 4 years' experience in data science or a related field.
• At least 2 years' experience in a managerial role.
• The ability to work with large, complex data sets across multiple platforms and design efficient processes to provide accurate and timely information is crucial.
• Extensive experience in data analysis and visualisation, as well as a strong understanding of business operations and performance metrics.
• Experience in building customer lifetime value models.
• Experience with prediction models and quantitative analysis.
• SQL and Tableau experience is beneficial.
• Experience in the gaming industry is beneficial but not required.
• Understanding of digital tracking, measurement, and reporting tools.
• Excellent communication and leadership abilities.
• Excellent written and verbal communication in the English Language.
• The ability to build relationships internally and externally, with experience working with third party agencies.
• Strong organisational skills and experience of balancing multiple projects at once.
• Strong understanding of current online marketing concepts, strategy and best practice would be beneficial.

• Attractive salary package.
• Optional medical insurance plan.
• Optional company pension scheme.
• Opportunities for ongoing personal and professional development and growth.

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