Insurance Data Analyst
- reading, berkshire, RG1 1QH, United Kingdom
- Permanent·Remote
- Full time
- £47,000 - £47,000 Per Annum
Job Description
About the Role
Our client is seeking a skilled Insurance Data Analyst to join their analytics team, working remotely from anywhere in the UK. This role is essential for transforming raw data into actionable insights that drive business strategy and improve operational efficiency. You will be responsible for collecting, cleaning, analyzing, and interpreting large datasets related to policies, claims, and customer behaviour. Utilizing advanced analytical techniques and tools, you will identify trends, create reports, and provide valuable recommendations to various departments, including underwriting, sales, and marketing. This is a prime opportunity for a data-driven professional passionate about leveraging data in the insurance domain.
Key Responsibilities
- Collect, clean, and process large volumes of data from various sources.
- Perform statistical analysis and use data visualization tools to identify trends and patterns.
- Develop and maintain dashboards and reports for key business metrics.
- Interpret data findings and provide actionable insights and recommendations to stakeholders.
- Collaborate with IT and business teams to ensure data accuracy and integrity.
Requirements
- Proven experience as a Data Analyst , preferably in the insurance or financial services sector.
- Proficiency in data analysis tools such as Python, R, SQL, or similar.
- Strong understanding of statistical analysis and data modelling techniques.
- Experience with data visualization tools (e.g., Tableau, Power BI).
- Excellent problem-solving skills and attention to detail.
Benefits
- Competitive salary with potential for bonuses based on project impact.
- Fully remote working arrangement with flexible hours.
- Comprehensive health, dental, and vision insurance.
- Opportunities for professional development and advanced training in data science.
- A collaborative and innovative data-focused team environment.


