Data Analyst - Claims & Membership Analytics

About the role

A full-time Data Analyst position is open in Harare, Zimbabwe, focused on claims and membership data within a business management setting. The role covers data management, analytics, fraud detection, predictive modelling and business intelligence.

Key responsibilities

• Data management: collect, clean, validate, integrate and maintain claims, membership, contributions, provider and financial datasets.
• Analyze claims frequency, severity, utilization, diagnoses, procedures, high-cost procedures, membership growth, churn, demographics and age profiles.
• Develop rules and models to detect unusual provider, member and claims patterns for investigation.
• Identify opportunities to automate reporting, data analysis, anomaly detection and routine management information.
• Build models to predict claims costs, member churn and other key business outcomes.
• Analyze business processes in claims, membership, authorizations and provider management and recommend improvements.
• Turn raw data into actionable insights and recommendations for management.
• Produce timely and accurate data for regulatory, actuarial, audit and management reporting.

Required profile

• Bachelor's degree in a relevant discipline such as Financial Engineering, Applied Mathematics and Statistics, Actuarial Science, Economics or a similar qualification from a recognized institution.
• Minimum of 2-3 years' experience in business or data analysis, preferably in a medical aid or insurance environment.
• Risk Management-related professional certification is an added advantage.

Required skills

• Proficiency in BI tools such as Power BI, Tableau or similar.
• Experience with statistical tools such as R, Python, SPSS, predictive analytics, forecasting and AI/ML.
• Strong understanding of databases and data management, including advanced Excel and SQL.