Remote Data Analyst - Insurance

About the Role

Our client is actively seeking a skilled Remote Data Analyst with a specialization in the insurance sector to join their innovative team, supporting operations based in Bristol . This fully remote position focuses on extracting, analyzing, and interpreting complex datasets to provide actionable insights that drive business strategy and improve operational efficiency. You will work with large volumes of data related to claims, policies, customer behavior, and market trends. This is an exceptional opportunity for a data-driven individual who thrives on uncovering patterns and translating data into meaningful recommendations within the insurance domain.

Key Responsibilities

• Collect, clean, and organize large datasets from various sources within the insurance industry.
• Perform statistical analysis to identify trends, anomalies, and key performance indicators.
• Develop and maintain dashboards and reports to visualize data and communicate findings effectively.
• Collaborate with stakeholders across departments (e.g., Underwriting, Claims, Marketing) to understand data needs.
• Provide data-driven insights and recommendations to support business decision-making and strategy development.
• Ensure data integrity and accuracy throughout the analysis process.

Requirements

• Proven experience as a Data Analyst , with specific experience in the insurance sector highly preferred.
• Proficiency in data analysis tools and programming languages such as SQL, Python, or R.
• Experience with data visualization tools (e.g., Tableau, Power BI).
• Strong statistical knowledge and analytical skills.
• Excellent communication skills to present complex data insights to diverse audiences.
• Ability to work independently and manage projects effectively in a remote work setting.

Benefits

• Competitive salary with potential for performance-based bonuses.
• Fully remote role offering significant flexibility and work-life balance.
• Comprehensive health, dental, and vision insurance coverage.
• Company-provided equipment and software.
• Opportunities for professional development and upskilling in data science and analytics.