Senior Data Analyst at Betway Africa

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Requirements Gathering and Problem-Solving

• The Senior Data Analyst will become the point of contact for stakeholders to raise problem statements from within the business. They will need to quickly understand the problem and design a clear and logical approach to using the data to solve the problem. The Senior Data Analyst must also pro-actively highlight potential areas of concern or value add to senior management for prioritisation.

Data Creation and Management

• The Senior Data Analyst needs to collect data that is relevant and accurate from various sources, such as databases, surveys, or external data providers, and ensure the data is collected in a systematic and organised manner, adhering to best practices and ethical guidelines. This includes identifying the right variables and metrics to measure, developing data collection tools, and implementing effective data collection processes. The Senior Data Analyst must cleanse and transform the data for other analysts to utilise as well as create all necessary documentation.

Reporting and Visualisation

• Create and maintain comprehensive reports and dashboards using visualisation tools such as Tableau, Power BI, or Excel, presenting data insights in a clear and actionable way for business stakeholders. These recommendations need to be delivered with attention to detail to senior management and drive actions that are then trackable and measurable as markers of value add.

Stakeholder Management and Communication

• The Senior Data Analyst must work closely with departments such as marketing, finance, product, and operations to maintain priorities and value driven problems to solve and translate them into data-driven recommendations. Act as a point of contact for these departments and coach the more junior analysts on best practice and stakeholder management. Making sure that the team does not over promise and under deliver.

Advanced Analytics and Modelling

• Utilise advanced statistical methods, predictive modelling, and machine learning techniques to forecast trends and predict outcomes that are critical for business planning. Including aspects of financial forecasting (Budgets) and estimated ROI off marketing spend.

Mentorship and Leadership

• Mentor junior analysts, providing guidance on best practices, tools, and methodologies. Lead initiatives to improve data literacy across the organization and foster a data-driven culture. Innovate within the team and introduce new approaches and technology that could be used to increase efficiency and accuracy across all departments. Utilise the DOTs framework and Development Frameworks to actively promote growth and development.