Employee Benefits Data Analyst

Job Summary

The Benefits Data Analyst supports clients and internal consulting teams by providing data analysis, financial reporting, benchmarking, and strategic insights related to employee benefit programs. This role leverages data to evaluate plan performance, identify trends, support decision-making, and deliver meaningful analytics that help clients manage costs and optimize benefit offerings.

A Day in the Life

• Access and analyze client data to evaluate current and projected benefit plan performance, utilization trends, and financial outcomes.
• Maintain confidentiality and security of client information in compliance with HIPAA and all applicable privacy regulations.
• Partner with consultants, account management teams, and analytics colleagues to review client-specific data, identify opportunities, and develop recommendations that reduce risk and improve cost effectiveness.
• Analyze utilization patterns, financial metrics, and industry benchmarks to support strategic planning, financial forecasting, plan design recommendations, and rate development.
• Deliver accurate and timely reports, dashboards, and financial analyses to internal teams and clients while maintaining clear communication regarding project status and outcomes.
• Manage access to carrier portals and third-party data systems; extract, validate, and transform data into standardized reporting formats for analysis and presentation.
• Assist with onboarding new clients by coordinating data access, reporting requirements, implementation activities, and analytics setup.
• Utilize analytics platforms, reporting tools, and data visualization solutions to produce actionable insights and improve operational effectiveness.
• Collaborate with internal technology and data teams to ensure accurate data flows, successful implementations, and ongoing maintenance of reporting systems and data warehouses.
• Conduct quality assurance audits to verify data integrity and resolve discrepancies in partnership with internal stakeholders and external partners.
• Contribute to the continuous improvement of reporting processes, analytics tools, and client deliverables while staying current on industry trends, compliance requirements, and best practices.
• Effectively prioritize workload, manage multiple deadlines, and identify creative solutions to business challenges.
• Support prospect and finalist opportunities by preparing financial analyses, demographic reviews, and benchmarking studies to demonstrate value and support new business development efforts.
  
  

What You'll Need

Education & Experience

• Bachelor's degree in Risk Management, Data Analytics, Finance, Statistics, Business, Information Systems, Mathematics, or a related field.
• One to three years of relevant professional experience, or an equivalent combination of education and experience.
  
  

Preferred Qualifications

• Experience gathering, manipulating, validating, and interpreting large datasets.
• Prior experience within employee benefits, insurance, healthcare, consulting, or a related industry preferred.
• Demonstrated analytical, quantitative, and research experience.
• Experience with reporting tools, data visualization platforms, or business intelligence software is a plus.
  
  

Who You Are

You are a curious, detail-oriented problem solver who enjoys turning complex data into meaningful insights. You're comfortable working independently while collaborating across teams and can effectively manage competing priorities in a fast-paced environment.

Key Characteristics Include

• Strong attention to detail and accuracy, particularly with quantitative and financial information.
• Excellent organizational and time management skills.
• Ability to prioritize work and manage multiple projects simultaneously.
• Strong analytical and critical-thinking abilities.
• Effective written and verbal communication skills.
• Resourceful and proactive with a continuous improvement mindset.
• Ability to work independently while contributing to a collaborative team environment.
• Professional judgment and discretion when handling sensitive and confidential information.
• Adaptability and resilience in a dynamic, client-focused environment.