The role involves developing actuarial or statistical models, extracting and analyzing large datasets, identifying and understanding key business and data trends, conducting ad-hoc investigations and analyses, compiling reports and presentations, developing and leveraging key working relationships with stakeholders, and mentoring junior analysts.
Competencies include strong analytical skills, excellent time-management skills, problem-solving abilities, adaptability, and problem-solving abilities. Competencies include strong analytical skills, top-down verbal and written communication, a passion for delivering results, excellent time-management skills, problem-solving abilities, adaptability, and problem-solving abilities.
Education and experience requirements include a Matric with Higher Grade Mathematics, a Bachelor of Science degree in Actuarial Science, Statistics, or Data Science, 1 to 3 years work experience, proficiency in MS Word, Excel, PowerPoint, Outlook, and SQL, experience in Actuarial Modelling, Problem Solving, or Data Analysis, and strong communication skills.
Behavioral traits include being highly analytical and logical, critical thinking, curious, creative, innovative, and able to communicate technical complexity to non-technical audiences. The role also requires an interest in analysing data and evaluating data to drive member engagement and wellness across Vitality.
