MCH Health Care Data Analyst

**Logo:**
Posting Number:
RTF00041PO26
**USC Market Title:**
Sr. Research Associate
**Link To USC Market Title:**
https://uscjobs.sc.edu/titles/169217
**Business Title (Internal Title):**
MCH Health Care Data Analyst
**Campus:**
Columbia
**Work County:**
Richland
**College/Division:**
College of Social Work
**Department:**
COSW Institute for Families in Society
**Anticipated Hiring Range:**
$80,000
Location of Vacancy:
Columbia, SC
**Part/Full Time:**
Full Time
**Hours Per Week:**
37.5
**Work Schedule:**

• Monday through Friday, 8:30am until 5:00pm.
• Must be willing to work a flexible schedule to meet the needs of the department.

**Type Of Staff Position:**
Staff Research Grant (SRGP)
**Basis :**
12 months
**Job Search Category:**
Information Technology
**About University Of South Carolina:**
From the Upstate to the Lowcountry, the University of South Carolina system is transforming the lives of South Carolinians through the impact of our eight institutions and 20 locations throughout the state. More than 50,000 students are enrolled at one of eight institutions, including the research campus in Columbia and comprehensive four-year universities in Aiken, Upstate and Beaufort. In addition, our Palmetto College campuses in Salkehatchie, Union, Lancaster and Sumter enable students to earn associate or bachelor’s degrees through a combination of in-person, online or blended learning. All of our system institutions place strong emphasis on service — helping to build healthier, more educated communities in South Carolina and beyond.
**South Carolina Retirement:**
Yes
**State Insurance Programs:**
Yes
**Annual Leave:**
Yes
**Sick Leave:**
Yes
**Advertised Job Summary:**
The Senior Research Associate/MCH Health Care Data Analyst provides high-level professional healthcare claims analytics work related to Medicaid and conducts quantitative analyses that support health care projects and research activities focused on Maternal and Child Health (MCH) populations.
**Job Related Minimum Required Education And Experience:**

• Requires a master’s degree in area of research specialty and five years of job related experience.

**Preferred Qualifications:**

• Experience/training in health services research.
• At least 4 years of experience with the analysis of claims/encounter data.
• Strongly prefer an understanding of Medicaid, Medicare, and/or private healthcare claims data systems.
• Understanding of and/or experience with analysis of electronic health record data, including data elements used in MCH contexts.
• Strong proficiency in SAS, SQL, R, and Python.

**Knowledge/Skills/Abilities:**

• Strong analytical thinking and attention to detail.
• Experience with large relational database administration.
• Demonstrated experience in data management and analysis with administrative data, including health or behavioral healthcare claims such as Medicaid, Medicare, private insurance data, or state agency and national datasets; experience with relevant MCH populations preferred.
• Proficiency in SAS, SQL, and other statistical analytical software programs (e.g., R, Python).
• Demonstrated ability to use analytical and visualization tools such as Excel (including advanced data manipulation techniques) and Power BI.
• Interest in public health or issues relevant to health services research, MCH, and health program or policy evaluation.
• Ability to plan for and work on multiple projects concurrently.
• Ability to exercise sound judgment in making decisions and maintain thorough documentation of the decision-making process.
• Exemplary communication skills and ability to communicate effectively, both verbally and in writing, complicated processes to diverse audiences.
• Strong commitment to rigorous research methods, objectivity, accuracy of findings, and reproducibility of results.

**Job Duty:**
Actively contributes to the review of working practices and developing data analysis and management standard operating procedures, including developing rigorous documentation of methods, decisions, flowcharts, and other practices that ensure reproducibility of results.(15%) Analyzes and interprets complex healthcare data.
**Essential Function:**
Yes
**Percentage Of Time:**
15
**Job Duty:**
Analyzes and interprets complex healthcare data from various sources; identifies, analyzes, and interprets trends and patterns in complex datasets to understand MCH issues.
**Job Duty:**
Obtains, validates, and compiles data from multiple sources to create summary files for both external and internal use.
**Percentage Of Time:**
10
**Job Duty:**
Manages large databases of health insurance claims from Medicaid, Medicare, all-payer data warehouses, and other state administrative datasets, as well as EHR data.
**Job Duty:**
Creates clear reports that demonstrate analytic findings and present these to the management and relevant stakeholders; Ensures accuracy and timeliness of reports, including regularly scheduled and ad-hoc reporting requests. Responsible for all follow-up and/or research requests regarding clinical data.
**Job Duty:**
Coordinates and problem-solves with Institute faculty/staff to understand needed support and use cases and develops innovative solutions to fill gaps in analytics.
**Job Duty:**
Works independently under the direction of the Principal Investigators to design, manage, implement, and interpret statistical analyses focused on MCH-related healthcare expenditures, utilization, and quality.
**Job Duty:**
Performs other research related duties as assigned.
**Percentage Of Time:**
5
**Hazardous Weather Category:**
Non-Essential
Employees In Safety-Sensitive Or Security-Sensitive Positions Will Be Subject To Pre-employment And Post-employment Drug Testing In Accordance With University Policy HR 1.95 Drug And Alcohol Testing.:
No
**Number Of Vacancies:**
1
**Desired Start Date:**
05/01/2026
**Position End Date :**
06/30/2028
**Job Open Date:**
03/11/2026
**Job Close Date:**
04/24/2026
**Open Until Filled:**
No
**Special Instructions To Applicant:**
Positions are advertised for a minimum of five (5) business days on our job website. After five (5) business days, positions can be closed at the discretion of the department at any time. This employment site is updated on a regular basis. The length of the recruitment and screening process may vary from position to position, depending upon a variety of factors. Should review of your qualifications result in a decision to pursue your candidacy, you will be contacted by phone or email.We are only accepting applications submitted by April 24, 2026.
**Quicklink For Posting:**
https://uscjobs.sc.edu/postings/203310
**EEO Statement:**
The University of South Carolina does not discriminate in educational or employment opportunities or decisions for qualified persons on the basis of age, ancestry, citizenship status, color, disability, ethnicity, familial status, gender (including transgender), gender identity or expression, genetic information, HIV/AIDs status, military status, national origin, pregnancy (false pregnancy, termination of pregnancy, childbirth, recovery therefrom or related medical conditions, breastfeeding), race, religion (including religious dress and grooming practices), sex, sexual orientation, veteran status, or any other bases under federal, state, local law, or regulations.