Remote Insurance Data Analyst

About the Role

Our client is seeking a highly analytical and technically proficient Remote Insurance Data Analyst to join their expanding data science team. This fully remote position will involve extracting, analyzing, and interpreting complex datasets to provide actionable insights that drive strategic decision-making across the business. You will be instrumental in identifying trends, optimizing processes, and enhancing product performance within the UK insurance market. This is a unique opportunity to contribute your data expertise to a leading insurer from any location within the UK, working with cutting-edge tools and a collaborative remote team.

Key Responsibilities

• Collect, clean, and transform large datasets from various sources for analysis.
• Develop and implement data analysis models and algorithms to identify key trends and patterns in insurance data.
• Create compelling data visualizations and reports to communicate findings to stakeholders across different departments.
• Collaborate with business units to understand their data needs and provide analytical support for strategic initiatives.
• Monitor key performance indicators (KPIs) and provide insights into business performance and areas for improvement.

Requirements

• Proven experience as a Data Analyst, with a strong background in the insurance industry.
• Proficiency in SQL, Python, or R for data manipulation and analysis.
• Experience with data visualization tools such as Tableau, Power BI, or similar.
• Strong statistical knowledge and understanding of data modeling techniques.
• Excellent problem-solving skills and the ability to work independently and effectively in a remote setting.

Benefits

• Competitive salary commensurate with experience.
• Fully remote working arrangement with flexible hours.
• Comprehensive health, dental, and vision insurance.
• Generous annual leave and public holidays.
• Opportunities for continuous learning, professional development, and attending virtual industry conferences.