Remote Insurance Data Analyst

About the Role

Our client is seeking a data-driven and insightful Remote Insurance Data Analyst to join their analytics team. This role is fundamental to transforming raw data into actionable business intelligence, enabling strategic decision-making across various departments including underwriting, claims, and marketing. You will be responsible for collecting, cleaning, analyzing, and interpreting complex datasets to identify trends, patterns, and opportunities for improvement. This is an excellent opportunity for a skilled analyst to contribute significantly to the company's success in a fully remote capacity, leveraging data to drive performance and innovation.

Key Responsibilities

• Collect, clean, and organize large datasets from various sources within the insurance domain.
• Perform complex data analysis to identify trends, anomalies, and insights related to customer behavior, claims, and market performance.
• Develop and maintain dashboards and reports to visualize key performance indicators (KPIs) and insights for stakeholders.
• Collaborate with business units to understand their data needs and provide analytical support.
• Utilize statistical methods and data mining techniques to uncover deeper patterns and predictive models.
• Ensure data accuracy, integrity, and security in all analytical processes.

Requirements

• Proven experience as a Data Analyst , preferably with a focus on the insurance industry .
• Strong proficiency in data analysis tools and programming languages such as SQL, Python, or R.
• Experience with data visualization tools (e.g., Tableau, Power BI).
• Solid understanding of statistical concepts and their application in business analysis.
• Excellent problem-solving skills and the ability to work independently in a remote setting.
• Bachelor's or Master's degree in Statistics, Mathematics, Computer Science, Economics, or a related quantitative field.

Benefits

• Competitive salary and benefits package.
• Fully remote work environment, offering flexibility and work-life balance.
• Opportunities for professional development and training in data science and analytics.
• Comprehensive health, dental, and vision insurance coverage.
• Access to cutting-edge tools and technologies for data analysis.