Data Analyst (Insurance)

The ideal candidate will use their passion for big data and analytics to provide insights to the business covering a range of topics. They will be responsible for conducting both recurring and ad hoc analysis for business users.

Responsibilities:

• Support initiatives related to workflow optimization, underwriting authority, and underwriting governance
• Develop reporting of and track key metrics such as submission volume and quality, pipeline development, conversion rate, new business production, renewal retention, and loss results
• Ensure consistency across data sources used for underwriting performance, appetite decisions, and risk evaluation.
• Partner with actuarial and data science teams to interpret and operationalize predictive models for underwriting workflows.
• Support the Field and Complex Account underwriting teams develop and track operational KPIs and SLAs at an underwriter and team level
• Analyze underwriting performance to identify growth drivers and opportunities for operational improvement
• Evaluate the impact of workflow improvements, appetite shifts, and other strategic changes
• Build and maintain executive, manager, and underwriter dashboards that reflect underwriter production and efficiency and promotes transparency of results
• Support annual premium planning and annual objective development
• Provide data calls as necessary to comply with regulatory or capacity partner requests
• Support regulatory or capacity partner audit requests
• Prepare and present KPIs for capacity partner reporting related to underwriting results and operational targets
• Collaborate with Information Technology counterparts in creating and maintaining consistent data sources
• Ensure consistent metric definitions across business units working closely with Finance, Product, Actuarial, Underwriting, Risk Management, Sales & Distribution, and Portfolio Management

Skills and Qualifications:

• 2 years of insurance experience preferably in the personal lines marketplace and/or in roles working directly with underwriters or product managers.
• Experience in working with large data sets with strong SQL skills and proficiency with analytics tools such as Python, R, SAS, or similar.
• Experience building dashboards in visualization platforms with preference for Power BI skills
• Bachelor’s Degree in Data Management, Data Science, Mathematics, Actuarial Science, Economics, Finance, or related fields is preferred
• Strong problem-solving skills and attention to detail, especially when working with complex datasets.