Our client in the Financial Services / Healthcare Insurance Analytics Industry is looking to employ a Senior Data Analyst to join their team based in Sandton, Gauteng.

Join a data-driven organisation where advanced analytics, business intelligence, and strategic insights directly influence business strategy, risk management, and financial performance across a dynamic healthcare and financial services environment.

Requirements

• Master’s Degree in Data Science, Statistics, Computer Science, Analytics, Applied Mathematics, or Business Analytics – Advantageous
• Bachelor’s Degree in Data Science, Information Systems, Computer Science, Information Technology, or related field – Essential
• 5+ years’ experience in data analytics or business intelligence roles
• Experience in healthcare, medical aid, or insurance analytics – Advantageous
• Certification in BI tools such as Power BI, Tableau, QlikView, or Cognos
• Advanced SQL programming – Essential
• Python programming and statistical modelling experience – Essential
• Strong knowledge of data warehousing and BI platforms
• Experience developing dashboards, reports, and analytical models

Responsibilities

Data Analysis and Business Intelligence

• Conduct advanced data analysis to identify trends, anomalies, and business insights
• Develop and maintain data models and data structures supporting BI reporting
• Build and optimise data warehouse and reporting solutions
• Design visual dashboards and interactive reporting tools
• Perform statistical modelling and predictive analytics

Business and Stakeholder Support

• Translate business requirements into technical analytics solutions
• Provide analytical insights to support strategy, risk management, and decision-making
• Conduct cost, expenditure, and provider performance analysis
• Support KPI development and performance tracking

Data Governance and Quality

• Maintain high standards of data integrity and accuracy
• Identify and resolve data quality issues
• Implement data validation and control processes
• Document data processes and modelling frameworks

Technical Development

• Optimise SQL queries for performance and efficiency
• Develop automated reporting and data extraction processes
• Support BI platform development and system integration

Risk, Compliance and Financial Insights

• Identify financial and operational risks through data analysis
• Support audit and regulatory compliance reporting
• Analyse fraud, waste, and high-risk transactional behaviour

Leadership and Collaboration

• Mentor junior analysts
• Collaborate with cross-functional business teams
• Support innovation in data analytics capabilities

Should you not receive feedback within two weeks of applying, you may consider your application unsuccessful.