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Require a DATA ANALYST in Harare, Zimbabwe

TestHiring Harare, Harare, Zimbabwe

Staffing and Recruiting · 11-50 employees

5 d ago
data-analyst Mid (2-5 yrs) Full-time Zimbabwe
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About the role

The Data Analyst will manage, clean, and integrate complex datasets to provide actionable business insights and support regulatory reporting. They will also develop predictive models and automation tools to detect anomalies, identify fraud, and improve operational efficiency.

What they look for

Data Analysis Claims Analytics Fraud Detection Predictive Analytics Business Intelligence Power BI Tableau R Python SPSS SQL Advanced Excel Data Management Automation Business Process Analysis Regulatory Reporting

Requirements

Candidates must hold a bachelor's degree in a quantitative field such as Financial Engineering, Mathematics, or Actuarial Science. A minimum of 2-3 years of experience in data analysis, preferably within the insurance or medical aid sector, is required.

Full description

  • Data management: Collect, clean, validate, integrate and maintain claims, membership, contributions, provider and financial datasets.
  • Claims & membership Analytics: Analyze claims frequency, severity, utilization, diagnoses, procedures, high-cost procedures, membership growth, churn, demographics, age profiles.
  • Claims anomaly & fraud detection: Develop rules/models to identify unusual provider, member and claims patterns for investigation.
  • AI & Automation: Identify opportunities to automate reporting, data analysis, anomaly detection and routine management information.
  • Predictive Analytics: Develop models to predict claims costs, member churn and other material business outcomes.
  • Business process analysis: Identify inefficiencies in claims, membership, authorizations, provider management and other processes and recommend improvements.
  • Business intelligence: Convert raw data into actionable insights and recommendations for management.
  • Regulatory/ Reporting support: Produce timely and accurate data for regulatory, actuarial, audit and management reporting.

Requirements

  • 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.
  • Risk Management-related professional certification is an added advantage.
  • Minimum of 2-3 years’ experience in business/data analysis, preferably in a medical aid/insurance.
  • Proficiency in BI tools (Power BI, Tableau, or similar).
  • Experience with statistical tools (R/Python, SPSS, predictive analytics, forecasting, AI/ML).
  • Strong understanding of databases and data management, including Advanced Excel and SQL.

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