Data Analyst

Role Overview

Join our dynamic Underwriting Technical Transformation team as a Data Analyst to drive innovation and data-driven decision-making in underwriting and pricing. You will work collaboratively with cross-functional teams to design, build, and implement robust data pipelines to deliver actionable insights.

What You Will Do

As a Data Analyst, you will support the build and delivery of a clear roadmap for the creation and modernization of a robust data environment, technically support the design and construction of data, and build and maintain production-grade data pipelines to automate data extraction, transformation, and loading processes.

Why It Might Be a Fit

This is a challenging and rewarding role where your expertise in data analytics can truly make a difference, and you will be part of a team that values creativity, collaboration, and continuous improvement.

Requirements

• Bachelor or above in a quantitative discipline (e.g. Mathematics, Computer Science) from top tier university
• Proven relevant experience (min. 3 years) in data analysis, preferably within the insurance or healthcare sector.
• Hands-on experience in writing maintainable and testable production-grade Python in a collaborative approach
• Strong proficiency with direct exposure to SQL/ SQL optimization, Git version control, CI/CD practices as well as data visualization tools (e.g. Power BI). VBA would be useful
• Excellent analytical skills (capable of understanding complex data structures, organize and structure data extracts) with the ability to translate complex data into actionable insights.
• Works with little guidance and direction and performs majority of tasks independently.
• High attention to detail including a commitment to accuracy of work.
• Excellent communication and collaboration skills, with the ability to explain complicated processes and concepts to non-experts and to work effectively with diverse cross-functional stakeholders.
• A proactive mindset with a passion for driving change and innovation through data.

Benefits

• Dental insurance
• Vision insurance
• Health insurance
• Life insurance
• Retirement plan
• Paid holidays
• Flexible working hours
• Professional development opportunities

Tagged as: Data Analysis