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Data Analyst - Insurance Analytics

Job in Randburg, Johannesburg, 2000, South Africa
Listing for: Placements24
Full Time position
Listed on 2026-10-10
Job specializations:
  • IT/Tech
    Data Analyst, Data Science Manager, Data Mining
Job Description & How to Apply Below
Location: Randburg

About the Role

Our client is seeking a skilled Data Analyst specializing in insurance analytics to join their team in Randburg . This role is integral to leveraging data to drive business insights, improve product offerings, and enhance customer experiences. You will work with large datasets, perform statistical analysis, and develop reports and dashboards to support strategic decision-making across various departments. The ideal candidate possesses strong analytical skills, a good understanding of the insurance domain, and proficiency in data visualization tools.

Key Responsibilities
  • Collect, clean, and analyze large datasets from various sources within the insurance value chain.
  • Develop and maintain dashboards and reports using business intelligence tools (e.g., Power BI, Tableau).
  • Identify trends, patterns, and anomalies in data to provide actionable insights to stakeholders.
  • Collaborate with business units to understand their data needs and deliver tailored analytical solutions.
  • Perform statistical modeling and predictive analysis to support pricing, underwriting, and claims management.
Requirements
  • Bachelor's degree in Statistics, Mathematics, Computer Science, Economics, or a related quantitative field.
  • 2+ years of experience as a Data Analyst, with a focus on the insurance or financial services industry.
  • Proficiency in SQL for data extraction and manipulation.
  • Experience with data visualization tools (e.g., Power BI, Tableau) and statistical software (e.g., R, Python).
  • Strong analytical, problem-solving, and communication skills.
Benefits
  • Competitive salary and opportunities for performance bonuses.
  • Comprehensive medical aid and retirement fund benefits.
  • Access to ongoing training and professional development in data analytics.
  • Hybrid working model combining office collaboration and remote flexibility.
  • A data-driven culture focused on innovation and continuous improvement in Randburg .
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