Analyst, Statistical Programming III

Job Opportunity in Columbia, SC

Join our team in the vibrant city of Columbia, SC, where you will have the opportunity to work in a dynamic and supportive environment. This role offers the perfect balance of professional growth and a high quality of life in a city known for its rich history and southern charm.

Education Requirements

Required: Bachelor's or Master's degree in Statistics, Biostatistics, Mathematics, Computer Science, or a related field. Experience Requirements

Required: Minimum 4 years of experience in statistical programming or statistical interpretation.

Preferred:

5 years of experience in statistical practices, software development, and relational databases (may be concurrent).

Experience with Medicare data, claims analysis, or federal healthcare reporting. Technical Skills

Required Software: Microsoft Office Suite.

Preferred Software/Tools:

SAS and/or Python for statistical programming.

Databricks and SQL for data management and analysis.

Exposure to data visualization, dashboarding, and data modeling tools is highly desirable. About the Role

Member of the Medicare Statistical Analysis Department, responsible for analyzing and reporting JJ/JM Part A/B and RRB claims data.

Perform monthly data integrity reviews, ensuring accurate and complete data warehouse table loads.

Run standardized and ad hoc statistical reports and deliver insights to internal stakeholders and CMS.

Focus on reporting and data-driven insights (not software development or IT/networking).

Use programming for mathematical computations, statistical modeling, and report generation.

Transitioning from SAS to Python by 2026, expanding capabilities in data visualization, dashboarding, and predictive modeling. Soft Skills & Attributes

Strong communication skills - able to engage effectively with CMS representatives, external vendors, and non-technical stakeholders.

Ability to explain complex data concepts clearly and develop thorough documentation and reporting deliverables.

Highly adaptable to evolving tools, technologies, and contract requirements.

Self-motivated, analytical thinker who can work independently on complex, data-driven problems.

Strong attention to detail, organizational skills, and a collaborative mindset within multi-functional teams. Interview Process

Round 1: In-person interview with Hiring Manager.

Round 2: Virtual interview with Lead Staff. Start over Refine this draft Use this draft!