Health Actuarial, Data Analyst

Lockton • Plano, TX

23h

About The Position

The Actuarial/Data Analyst is part of an internal resource team that develops models and analyzes health care data, including cost transparency data, across the book of business to identify cost, utilization, and population health trends. The role builds expertise in relevant data sources, methodologies, and analytical tools; interprets results; and translates findings into actionable insights and resources for actuarial consultants and other client-facing teams. The analyst collaborates with internal stakeholders and external vendor partners to strengthen the team’s data capabilities and support consistent, informed analysis.

Requirements

• Bachelor’s degree in a quantitative field, such as Actuarial Science, Mathematics, Statistics, Data Science, or Health Informatics.
• At least three years of data analytics experience in the health insurance industry.
• Advanced knowledge of Microsoft Office applications, particularly Excel, Word, and PowerPoint.
• Proficiency in SQL for data extraction and manipulation.
• Experience with data visualization tools such as Power BI or Tableau.
• Familiarity with health insurance concepts, including plan designs, networks, cost-containment strategies, payment integrity programs, medical terminology, and health care billing codes.
• Excellent quantitative, analytical, and problem-solving skills, with demonstrated ability to compile, analyze, and interpret financial and health care data to support decision-making.
• Excellent communication, interpersonal, and organizational skills.
• High degree of self-motivation and creative problem-solving ability.
• Ability to provide clear direction when appropriate, listen to others, and incorporate diverse ideas and perspectives.
• Demonstrated commitment to serving internal stakeholders and client-facing teams while taking ownership of work products.
• Ability to make well-supported decisions and follow through on implementation.
• Ability to travel less than 10%.

Nice To Haves

• Experience with statistical software or programming languages such as R or Python.

Responsibilities

• Extract, validate, and manage large, complex datasets from internal and external sources for book-of-business analyses and model development.
• Analyze health care cost transparency data and support related tools; develop expertise in the data, methodologies, limitations, and applications; and serve as the primary resource for internal teams and liaison to the external vendor partner.
• Analyze health plan performance across the book of business, identifying and interpreting trends in medical and pharmacy costs, utilization patterns, and population health to support client-facing teams.
• Interpret data and model results to identify meaningful patterns, explain key cost and utilization drivers, and develop actionable insights for internal stakeholders.
• Partner with actuarial consultants, senior analysts, and other client-facing teams to understand business needs, define analytical approaches, and communicate findings that support client strategy and decision-making.
• Summarize methodologies, findings, and implications through reports, presentations, dashboards, and other resources for technical and nontechnical audiences.
• Ensure the accuracy, validity, and integrity of data and analytical outputs while meeting timelines and maintaining high-quality standards.
• Identify and support opportunities to automate reporting and improve data collection, modeling, and analysis processes.
• Develop models for emerging business needs and estimate cost and utilization changes across the book of business; adapt models for client-specific applications as requested by client-facing teams.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level