Remote Insurance Data Analyst

About the Role

Our client is seeking a meticulous and data-driven Remote Insurance Data Analyst to join their expanding analytics team. This position is essential for extracting valuable insights from complex datasets to inform strategic decisions, optimize operations, and enhance product development within the insurance industry. You will be responsible for data collection, cleaning, analysis, and reporting, leveraging various tools and techniques to uncover trends, identify risks, and support business growth initiatives. This fully remote role offers the flexibility to work from anywhere while contributing significantly to a progressive insurance provider, impacting operations across Northern Cape and beyond.

Key Responsibilities

• Collect, clean, and organize large volumes of data from various sources within the insurance domain.
• Perform statistical analysis and build predictive models to identify trends and patterns.
• Develop reports, dashboards, and visualizations to communicate findings to stakeholders.
• Interpret data to provide actionable insights and recommendations for business improvement.
• Collaborate with product, underwriting, and claims teams to support data-driven decision-making.
• Ensure data accuracy, integrity, and security across all analytical processes.

Requirements

• Proven experience as a Data Analyst , preferably within the insurance or financial services sector.
• Strong proficiency in data analysis tools and programming languages such as SQL, Python, R, and Excel.
• Experience with data visualization tools (e.g., Tableau, Power BI).
• Excellent analytical, statistical, and problem-solving skills.
• Ability to work independently and manage multiple projects in a remote setting.
• Bachelor's degree in Statistics, Mathematics, Computer Science, Economics, or a related quantitative field.

Benefits

• Competitive salary and comprehensive benefits package.
• Fully remote work arrangement, providing significant flexibility and autonomy.
• Opportunities for professional growth, including training in advanced analytics techniques.
• Be part of an innovative company that prioritizes data-driven strategies in the insurance sector.
• Work on challenging and impactful projects that shape business outcomes from anywhere.