Insurance Analytics Data Analyst - Hybrid, Growth & Bonus

Placements24

Randburg

Hybrid

ZAR 420,000 - 700,000

Full time

2 days ago
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Benefits offered by this job

Hybrid work model
Competitive salary + bonuses
Medical aid
Retirement fund benefits
Professional development

Job summary

Placements24 is seeking a skilled Data Analyst specializing in insurance analytics to join our Randburg team. You will work with large datasets, perform statistical analysis, and develop reports and dashboards to drive business insights and improve customer experiences across departments.

The ideal candidate has strong analytical skills, a solid understanding of the insurance domain, and proficiency with data visualization tools such as Power BI and Tableau, plus SQL for data extraction.

Qualifications

  • Bachelor's degree in a quantitative field.
  • 2+ years experience as a Data Analyst in insurance/financial services.
  • Proficiency in SQL; experience with Power BI/Tableau; knowledge of Python or R.

Responsibilities

  • Collect, clean, and analyze large datasets within the insurance value chain.
  • Develop and maintain dashboards using BI tools.
  • Identify trends, patterns, and anomalies to provide actionable insights.
  • Collaborate with business units to tailor analytical solutions.
  • Perform statistical modeling to support pricing, underwriting, and claims.

Skills

Data analysis
Statistical analysis
Communication
Problem-solving
Data visualization

Education

Bachelor's degree in Statistics/Mathematics/Computer Science/Economics

Tools

SQL
Power BI
Tableau
Python
R

Job description

Placements24 is seeking a skilled Data Analyst specializing in insurance analytics to join our Randburg team. You will work with large datasets, perform statistical analysis, and develop reports and dashboards to drive business insights and improve customer experiences across departments.

The ideal candidate has strong analytical skills, a solid understanding of the insurance domain, and proficiency with data visualization tools such as Power BI and Tableau, plus SQL for data extraction.

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