Insurance Data Analyst

About the Role

Our client is seeking a skilled Insurance Data Analyst to join their analytics team based in Nelspruit . This hybrid role focuses on extracting, analyzing, and interpreting large volumes of data to provide actionable insights that drive business decisions in the insurance sector. You will work with various datasets related to policy performance, claims, customer behavior, and market trends. This is an excellent opportunity to utilize your analytical skills in a collaborative environment, contributing to strategic planning and operational efficiency through data-driven recommendations.

Key Responsibilities

• Collect, clean, and transform data from various sources to ensure accuracy and consistency.
• Develop and implement data analysis models and techniques to identify trends and patterns.
• Create dashboards and reports to visualize key performance indicators and insights for stakeholders.
• Interpret complex data sets and translate findings into clear, actionable business recommendations.
• Collaborate with departments such as underwriting, claims, and marketing to understand their data needs.
• Stay updated on data analysis tools, technologies, and best practices.

Requirements

• Bachelor's degree in Statistics, Mathematics, Economics, Computer Science, or a related field.
• Proven experience as a Data Analyst, preferably within the insurance industry.
• Strong proficiency in SQL, Excel, and data visualization tools (e.g., Tableau, Power BI).
• Experience with statistical programming languages like Python or R is a plus.
• Excellent analytical, problem-solving, and critical thinking skills.
• Strong communication skills to present findings to both technical and non-technical audiences.

Benefits

• Competitive salary and potential for performance bonuses.
• Hybrid work arrangement offering flexibility.
• Comprehensive medical and retirement benefits.
• Access to professional development resources and training.
• A data-centric culture that values insight and innovation.

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