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.

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

• 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).
• Preferred:
  Experience with Medicare data, claims analysis, or federal healthcare reporting.

• Required Software:
  Microsoft Office Suite.
• Preferred Software/Tools: SAS and/or Python for statistical programming.
• Preferred Software/Tools:
  Databricks and SQL for data management and analysis.
• Preferred:
  Exposure to data visualization, dashboarding, and data modeling tools.

• 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.

• 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.

• Round 1:
  In‑person interview with Hiring Manager.
• Round 2:
  Virtual interview with Lead Staff.

Mid‑Senior level

Full‑time

Other

IT Services and IT Consulting