Hot Jobs at Betway Africa

What you’ll be doing

• Assist in developing business growth with potential partners, including but not limited to Telcos, retailers and other entities.
• Continually reviewing the commercial agreements with all Partners for optimal delivery.
• Growing and maintaining strong relationships with new and existing partners through regular communication and face to face meetings.
• Monthly reporting back to team and line manager on overall partnership performance.
• Developing and implementing marketing strategies and campaigns to grow the Betway/Jackpot City customer base
• Align with the partners strategic objectives to drive profitability for both Betway/Jackpot City and the partner
• Collaborate and work with other divisions to execute on the strategic plans
• Budget management and maintaining overall strategic objectives.
• Analysis of campaigns, reporting on ROI and developing strategies to improve it.
• Always ensuring partner satisfaction and working closely with partners to unpack deeper collaboration.
• Coordination of backend fulfilment with other departments, including Fraud Operations and Creative.
• Keep aligned on Country and Product developments.
• Continuous engagement with the Betway and Jackpot City incountry teams
• Drive innovation through new and existing channels/partners
• Networking and attendance at local/international conferences, if opportunity becomes available.
• Provide continuous guidance and support to the direct partnerships team.
• Will be required to travel for new business opportunities
• This job description is not intended to be an exhaustive list of responsibilities. The job holder may be required to complete any other reasonable duties in order to achieve business objectives

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• As a Data Analyst you will be responsible for ensuring that large amounts of data is optimised and presented to numerous stakeholders to ensure the business operates at its peak; ultimately making Betway the product of choice for customers.

What you’ll be doing

As part of your role, your responsibilities will include:

• Research, develop, and apply methods for measuring, analysing and optimizing our processes & marketing interventions
• Identify appropriate models / algorithms to mine large datasets and develop rich insights into customer behaviour
• Extract, analyse and interpret large amounts of data from a variety of data sources
• Work closely with various areas of the business to solve complex business problems using mathematical and statistical solutions
• Use machine learning tools and statistical techniques to produce predictive models
• Proactively look for opportunities to use data and models to improve the business
• Use data visualization tools and reporting software to present data to the business in a clear and understandable manner
• SQL and Analytical skills and practices.
• Optimize and improve current data processes within the business
• Proactively look for opportunities to automate manual processes throughout the business thinking, problem solving & technical expertise to get to the bottom of major incidents.
• This job description is not intended to be an exhaustive list of responsibilities. You may be required to complete other reasonable duties in order to achieve business objectives.

 Essential skills you’ll bring to the table

The necessary skills that we require for this role include:

• 3+ years Data Analytics Experience
• Statistical, Actuarial, Applied Mathematics or similar qualification
• Excellent quantitative and qualitative analytical skills
• Extremely detail oriented and well organized
• Ability to clearly and effectively communicate
• Strong Reporting, Analytical & Problem-Solving Skills
• Ability to effectively multi-task in a deadline driven, high pressure environment
• Experience in leading a team in the Data Analytics space
• Strong Machine Learning ability
• Microsoft SQL Server
• SSRS
• SSIS
• Microsoft PowerBI
• R/Python
• Advanced Excel

Desirable skills you’ve got up your sleeve

It would be great if you also have some of the following skills:

• Adapts well to change
• Strong sense of accountability and responsibility
• Strong written and oral communication
• Able to work independently and manage time effectively, as well as work collaboratively with multi-disciplinary team