Remote Insurance Data Analyst

About the Role

Our client is seeking a skilled and detail-oriented Remote Insurance Data Analyst to join their innovative analytics team, supporting operations from any location. This role focuses on collecting, processing, and analyzing vast amounts of insurance data to derive actionable insights that drive business strategy, improve operational efficiency, and enhance product development. You will work with cutting-edge tools and techniques to uncover trends, identify opportunities, and provide data-driven recommendations to stakeholders.

This is an excellent opportunity for a data professional passionate about the insurance industry to contribute significantly in a flexible, remote-first environment, impacting decisions across the organization.

• Collect, clean, and transform large, complex datasets from various insurance sources.
• Perform in-depth data analysis to identify trends, patterns, and correlations related to customer behavior, risk, and performance.
• Develop dashboards and reports to visualize key metrics and communicate findings to stakeholders.
• Build predictive models to forecast market trends, customer churn, and financial performance.
• Collaborate with business units to understand their data needs and provide analytical support.
• Ensure data accuracy, integrity, and compliance with data governance policies.

• Proven experience as a Data Analyst, preferably within the financial services or insurance sector.
• 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 methods and machine learning techniques.
• Excellent analytical, problem-solving, and communication skills.
• Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, or a related field.

• Competitive salary and potential for bonuses based on performance.
• Fully remote working arrangement with flexibility.
• Comprehensive health insurance and retirement savings plan.
• Opportunities for continuous learning and professional development in data analytics.
• Access to advanced analytical tools and technologies.