About the Role Our client is seeking a highly analytical and proficient Remote Insurance Data Analyst to join their innovative, fully remote team. This role is essential for deriving actionable insights from complex insurance data sets to drive strategic business decisions. You will be responsible for collecting, cleaning, analyzing, and interpreting data related to sales, claims, underwriting, and customer behavior. This is an exceptional opportunity for a data-savvy professional to work entirely from home, leveraging advanced analytical tools and techniques to shape the company's future strategies and enhance operational efficiency within the Gauteng insurance market. Key Responsibilities Collect, clean, and transform large volumes of insurance-related data from various sources. Perform in-depth data analysis to identify trends, patterns, and correlations relevant to business objectives. Develop and maintain dashboards and reports to visualize key performance indicators and insights. Interpret data findings and provide clear, concise recommendations to business stakeholders. Collaborate with different departments to understand their data needs and provide analytical support. Utilize statistical software and tools to conduct predictive modeling and forecasting. Requirements Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, or a related field. Proven experience as a Data Analyst , with a strong focus on the insurance industry. Proficiency in data analysis languages such as SQL, Python, or R. Experience with data visualization tools (e.g., Tableau, Power BI). Strong analytical, problem-solving, and critical thinking skills. Excellent ability to communicate technical findings to non-technical audiences remotely. Benefits Competitive annual salary and potential for performance bonuses. Fully remote work arrangement offering flexibility and a great work-life balance. Comprehensive health, dental, and vision insurance coverage. Access to cutting-edge analytical tools and platforms. Opportunities for continuous learning and professional development in a remote setting. #J-18808-Ljbffr