Analyst, Statistical Programming III

TALENT Software Services; Columbia (SC); On-site; USD 80,000 - 100,000; Full time

Job summary

A leading statistical analysis firm in Columbia, SC, is seeking a Mid-Senior level professional to join their Medicare Statistical Analysis Department. The role involves analyzing Medicare claims data, performing data integrity reviews, and running statistical reports. Candidates should have a Bachelor's or Master's degree in a relevant field, strong statistical programming skills, and the ability to communicate complex data concepts effectively. This is a full-time position offering professional growth in an engaging environment.

Qualifications

• Minimum 4 years of experience in statistical programming or statistical interpretation required.
• Preferred 5 years of experience in statistical practices, software development, and relational databases.
• Exposure to Medicare data, claims analysis, or federal healthcare reporting is preferred.

Responsibilities

• Analyze and report on JJ/JM Part A/B and RRB claims data.
• Perform monthly data integrity reviews for data warehouse.
• Run standardized and ad hoc statistical reports and deliver insights.

Skills

Statistical programming

Statistical interpretation

Data visualization

Communication skills

Analytical thinking

Education

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

Tools

Microsoft Office Suite

SAS

Python

Databricks

SQL

Job description

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).
• Preferred: 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.
• Preferred Software/Tools: Databricks and SQL for data management and analysis.
• Preferred: Exposure to data visualization, dashboarding, and data modeling tools.

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.

Seniority Level

Mid‑Senior level

Employment Type

Full‑time

Job Function

Other

Industries

IT Services and IT Consulting