KingMakers is the leading sports and digital entertainment platform company across the African continent. We are focused on creating opportunity. Opportunity that allows individuals and communities to realise their dreams – to be the best they can be. Opportunities to grow, to change, to build a business, to make a difference. Opportunity for individuals. Opportunity for our communities. Our proprietary technology, delivered through our agency and online platforms, brings sports fans and their communities closer to the games they love.
Role Overview:
- As Data Ops Manager, you be responsible for analyzing data related to retail/agency operations, customer behavior, and market trends to drive data-informed decision-making and optimize retail strategies for maximum growth.
- The ideal candidate will have a strong background in data analysis, statistical modeling, and data visualization, with experience in the retail industry and a solid understanding of the sports betting business.
- The Data Ops Manager would lead a team of Junior data analysts and will work closely with cross-functional teams, including marketing, product, payments, customer experience and finance, to provide actionable insights that support the company's agency objectives and drive business growth.
What You Will Be Doing:
- Lead the development and implementation of data-driven growth strategies in Agency operations
- Conduct data analysis on agency operations data to identify trends, patterns, and opportunities for growth optimization.
- Develop and maintain predictive models and algorithms to forecast agency performance, and market trends to inform strategic decision-making.
- Model out commission & bonus structures to deliver the best value.
- Design and implement experiments and A/B tests to evaluate the effectiveness of various agency strategies, Bonus promotions, and initiatives, and provide recommendations for optimization.
- Create and deliver clear and actionable data-driven insights, reports, and visualizations to stakeholders, including retail operations teams, marketing teams, and executives, to drive data-informed decision-making.
- Track key performance indicators (KPIs) for retail operations, establish data tracking mechanisms, and monitor performance metrics, providing recommendations for improvement.
- Conduct ad-hoc analysis and generate insights to support retail initiatives, such as pricing analysis, promotion effectiveness, and Agent segmentation.
- Stay updated with industry trends, best practices, and emerging technologies in data analytics and retail to continuously improve data analysis methodologies and techniques.
What You Need for This Role:
- 7 + years experience in Analytics
- Solid SQL & Python skills – ability to query and transform data for analytics using SQL, Python
- Python or similar data coding skills is an advantage.
- Demonstrated ability to understand business dynamics and turn this understanding into key metrics and dimensionality.
- Experience working in a Microsoft BI environment (Power BI, SSAS) a strong advantage.
- Experience with self-serve BI toolsets (e.g. Tableau, Qlik, Looker) and web analytics tools (e.g. Google Analytics) an advantage.
- Experience with experimentation techniques and technologies.
- Demonstrated ability to create innovative data visualizations that succinctly communicate key insights.
- Ability to work with a wide variety of data sources, with ability to extract valuable insights.
- Experience with a sports betting business a strong advantage.
- Track record leading a team and helping others to grow their own analytics skills and career,
- Ability to present the results of work to stakeholders across the business, including senior leadership team; strong communications skills.
Method of Application
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