The role of a Predictive Analyst will require statistical modelling on a number of fintech and mobile app projects for clients in the telecommunications field; and forms part of the client-facing team on presentations and projects.

The key requirements and experience include:

• A relevant statistical/ mathematical/ quantitative degree
• Applied knowledge of business mathematics
• Statistical modelling
• Modelling  & programming in R, SAP, SQL, Excel
• Excellent communication skills as presenting to clients is part of the role
• Available to travel into Africa from time to time

This role will suit a predictive modeller or data scientist who loves the fintech industry, enjoys working with super-smart and innovative teams, and can turn maths and stats into a language or app clients can buy into.

Responsibilities: 

• Business and data analysis
• Data warehousing
• Developing test cases for data monitoring
• Data manipulation using Python 
• Building of predictive models
• Create data visualizations and dashboards.

Requirements:

• Bachelor's degree in Engineering, Computer Science or another quantitative field (e.g. Physics, Mathematics, Chemistry, Statistics) or equivalent practical experience
• Experience
• 3-5 years experience in the Insurance Sector or Financial Services Industry.
• Data analysis, SQL skills, data visualization, and data warehousing
• Experience with Power BI
• Experience with dimensional modelling and methodologies like Kimball and BEAM

Requirements:

• Matric or IT Related Degree
• Strong analytical skills
• Creative problem solving skills
• Clear Communication Style, both Written and Verbal
• Quick Learner
• Adaptable to an ever changing environment
• Can do’ Personality
• Team Player
• Thrive on challenges
• Logical thinker