Remote National Analytics Consultant – Employee Benefits

Insurance Office of America; Tifton (GA); On-site; USD 155,000 - 170,000; Full time

Benefits offered by this job

Company-paid health insurance

401K with employer match

Paid holidays, vacations, and sickTime

Competitive salaries and bonus

Job summary

Insurance Office of America is seeking a National Analytic Consultant to lead analytics for Employee Benefits. The role involves collecting, analyzing, and interpreting underwriting, claims, and financial data to support client decisions, renewals, and negotiations.

You’ll partner with producers and benefits teams to deliver insights and improve operating performance. The ideal candidate has 5-7 years of experience, a bachelor’s degree in a related field, and proficiency with Excel and BI tools.

Qualifications

• Bachelor’s degree in a related field.
• Knowledge of underwriting, funding, and pricing principles.
• Experience in data-driven financial analysis and risk assessment.

Responsibilities

• Lead and support analytics activities on a national scale.
• Gather, analyze, and interpret underwriting, claims, and financial data.
• Deliver data-driven insights for client decisions and renewals.
• Provide analytical support for proposals, presentations, and business development.
• Develop dashboards and reports communicating complex information.

Skills

Data analytics

Underwriting

Client consulting

Sales support

Reporting

BI tooling

Communication

Process improvement

Team collaboration

Problem solving

Education

Bachelor's degree (Business, Finance, Economics, Statistics, Mathematics, Actuarial Science)

Tools

Excel

Word

PowerPoint

Outlook

Job description

Insurance Office of America is seeking a National Analytic Consultant to lead analytics for Employee Benefits. The role involves collecting, analyzing, and interpreting underwriting, claims, and financial data to support client decisions, renewals, and negotiations.

You’ll partner with producers and benefits teams to deliver insights and improve operating performance. The ideal candidate has 5-7 years of experience, a bachelor’s degree in a related field, and proficiency with Excel and BI tools.