Job Details

Hybrid Onsite at Columbia, SC

Interview Process: 2 rounds - First interview in person with manager; Second interview virtually with lead staff
Team Name: MSAD R&A - Medicare Statistical Analysis Department, Research and Analysis

Skills Needed: SAS and/or Python; Databricks; SQL

About the role: MSAD is a reporting department working with JJ/JM Part A/B and RRB claims. There are a few different types of work that we do monthly. The beginning of the month is centered around data integrity and standard/routine processes. At the first of each month, we assist the data warehouse with their table loads by ensuring the data is complete and accurate. Once the tables are updated, we then run all our standard/routine processes against the updated data and deliver those reports. The remainder of the month will be spent creating ad hoc reports and working directly with customers to ensure the information they receive is relevant and accurate to the request. M ost of the job is centered around programming to create useful and insightful reporting. Currently, we use a combination of SAS and SQL to pull, manipulate and report the data. However, we will be shifting to Python by the end of 2026. With the shift to Python, we are also looking to expand on our different data visualization tools to include dashboarding and modeling. These skills would be highly beneficial to a candidate as well.

***We are looking for reporting skills, rather than software development skills.

Required Education: Bachelor's or Master's degree Statistics/Biostatistics, mathematics, computer science, or other job related field.

Required Work Experience: 4 years statistical programming or statistical interpretation. Preferred Work Experience: 5 years experience with statistical practices. 5 years statistical software and relational database experience. (may be concurrent)

Required Software: Microsoft Office Preferred Software: SAS and/or Python; Databricks; SQL

EEO:
"Mindlance is an Equal Opportunity Employer and does not discriminate in employment on the basis of - Minority/Gender/Disability/Religion/LGBTQI/Age/Veterans."