Remote Insurance Data Analyst

Darum lohnt es sich

About the Role Our client is seeking a skilled and analytical Remote Insurance Data Analyst to join their globally distributed team.

Benefits • Competitive salary commensurate with experience and skills. • Comprehensive health, dental, and vision insurance coverage. • Generous paid time off and company holidays. • Annual budget for professional development, online courses, and conferences. • Fully remote work environment with flexible hours.

This role offers the unique opportunity to work from anywhere while analyzing vast datasets to derive insights that drive business strategy and product development in the insurance sector.

You will be responsible for data collection, cleaning, analysis, and visualization, collaborating with stakeholders across different departments to translate complex data into actionable recommendations. This position is ideal for a data enthusiast who excels in a remote work setting and has a passion for uncovering trends within insurance data.

Key Responsibilities • Collect, clean, and transform large datasets from various sources relevant to the insurance industry. • Perform statistical analysis, identify trends, patterns, and anomalies in insurance data. • Develop and maintain dashboards and reports using data visualization tools (e.g., Tableau, Power BI). • Collaborate with business stakeholders to understand their data needs and provide insightful analysis. • Develop predictive models and conduct ad-hoc analysis to support business decision-making. • Ensure data accuracy, integrity, and security across all analysis processes. • Stay current with data analysis techniques, tools, and best practices in the insurance domain.

Requirements • Bachelor's or Master's degree in Statistics, Mathematics, Computer Science, Economics, or a related quantitative field. • Proven experience as a Data Analyst , preferably in the insurance or financial services industry. • Proficiency in SQL for data extraction and manipulation. • Strong experience with data visualization tools (e.g., Tableau, Power BI, QlikView). • Knowledge of statistical programming languages like Python or R. • Excellent analytical, problem-solving, and critical thinking skills. • Effective communication and collaboration skills, essential for a remote role.