Healthcare Data Analyst Jobs in South Carolina
Healthcare Data Analyst jobs in South Carolina are in active and growing demand, concentrated in hospital systems, insurance payers, and state health agencies, with openings at every level from entry-level reporting analyst to senior population health specialist. The heaviest hiring is in Columbia, Greenville, and Charleston, where large employers such as Prisma Health, MUSC Health, and BlueCross BlueShield of South Carolina maintain substantial analytics operations. The most in-demand specialties include clinical quality reporting, value-based care analytics, and Medicaid claims analysis. Find a role that fits below and apply directly.
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Location
Charleston - 997 Morrison Drive, Suite 402Business
Our Growth, Your Opportunity
At Maymont Homes, our success starts with people, our residents and our team. We are transforming the single-family rental experience through innovation, quality, and genuine care. With more than 20,000 homes across 47+ markets, 25+ build-to-rent communities, and continued expansion on the horizon, we are more than a leader in the industry—we are a company that puts people and communities at the heart of everything we do.
As part of Brookfield, Maymont Homes is growing quickly and making a lasting impact. We are also proud to be Certified™ by Great Place to Work®, a recognition based entirely on feedback from our employees. This honor reflects the culture of trust, collaboration, and belonging that makes Maymont a place where people thrive.
Join a purpose-driven team where your work creates opportunity, sparks innovation, and helps families across the country feel truly at home.
Job Description
Position Summary
The Director of Data Science and Strategic Analysis is responsible for independently scoping, executing, and delivering investment-grade research that translates complex demographic, macroeconomic, and market data into specific, actionable capital deployment opportunities. The research will then form the foundation for advanced data science models, analytics, and decision-support tools that this role will build in conjunction with other colleagues. These tools will enable the organization to make faster, smarter, and more informed decisions primarily supporting investment decisions but also operational workflows. The role will partner closely with Investments, Asset Management, Finance, Revenue Management, and Executive Leadership, in particular the CEO and CIO of Maymont.
The ideal candidate combines strong technical expertise in data science with financial and strategic thinking. This individual is equally comfortable building predictive models, analyzing investment opportunities, evaluating housing markets, and presenting analytical insights to executive leadership. Success in this role requires curiosity, business acumen, and the ability to transform complex data into actionable investment recommendations.
More specifically, the candidate has the intellectual range to receive a thesis-level research question, such as “where should we be investing given the silver tsunami demographic shift?”, and return within two weeks with a geospatial analysis, investment thesis, and platform-specific recommendations to deploy capital. The person possesses investment judgment, not just analytical skills, and is fluent in AI-assisted development tools that allow them to build and ship the tools that make research actionable.
Essential Job Functions
- Own a self-managed research roadmap driven by senior executive priorities, conducting independent deep-dive research sprints (typically 1–3 weeks) that deliver investment-grade analysis spanning full U.S. Housing platform: single-family rental, build-to-rent, senior housing, affordable housing, manufactured housing, and market-rate multifamily.
- Translate completed research into deployed, dynamic tools within our proprietary analytics application. For example, by converting a geospatial demographic analysis into an interactive heat map tool that enables platform-level investment decisions. This requires fluency in AI-assisted development workflows (e.g., Claude Code or similar agentic coding environments) to move from research output to working product without dependence on a separate engineering team.
- Analyze housing market trends, demographic shifts, competitive positioning, and macroeconomic factors impacting investment performance.
- Translate complex analytical findings into concise recommendations for executive leadership and investment teams.
- Collaborate with Data Engineering to ensure scalable, reliable, and trusted analytical datasets.
- Evaluate emerging technologies, modeling techniques, and external data sources to continuously improve model performance, scalability, and analytical capabilities.
- Perform other duties as assigned to support business objectives
Performance Expectations & Key Metrics:
Performance will be evaluated based on measurable outcomes aligned with company and departmental goals. Metrics may include:
- Decision Support: Develop analytical frameworks that improve market analysis, portfolio optimization, and overall investment performance.
- Strategic Analysis: Identify emerging opportunities and risks through advanced analytics, statistical modeling, and machine learning.
- Research Impact: Deliver platform-spanning investment research that directly informs capital deployment decisions measured by speed of thesis-to-recommendation cycle (target: 2 weeks for a defined research question), quality of cross-platform opportunity identification, and the degree to which research outputs result in deployed tools or funded investments.
- Analytical Innovation: Leverage AI, machine learning, automation, and emerging technologies to improve modeling capabilities and organizational efficiency.
- Data Quality & Analytical Standards: Ensure analytical rigor, statistical integrity, reproducibility, and documentation across all models and analyses.
Required Qualifications
Education
- Bachelor's or master's degree in Data Science, Statistics, Economics, Finance, Applied Mathematics, Computer Science, Engineering, or a related quantitative field.
Experience
- Minimum of 8-10 years of experience in quantitative research, data science, or applied analytics, with demonstrated investment-side experience (investment committee exposure, memo writing, or capital deployment decisions preferred).
Skills & Competencies
- Data Science & Machine Learning: Strong understanding of statistical modeling, predictive analytics, forecasting, optimization techniques, clustering, regression, machine learning methodologies, and the model development lifecycle (training, validation, deployment, and monitoring).
- Investment & Financial Analysis: Experience evaluating investment opportunities through quantitative analysis, financial modeling, forecasting, scenario analysis, and portfolio performance measurement.
- Real Estate Analytics: Experience analyzing housing markets, rental pricing, acquisition underwriting, portfolio optimization, demographic trends, geospatial data, competitive intelligence, and macroeconomic indicators affecting residential real estate investments.
- Programming & Engineering: Advanced proficiency in Python and SQL, with experience using common data science and machine learning libraries (e.g., pandas, scikit-learn, and modern ML frameworks).
- Artificial Intelligence: Experience leveraging Generative AI, Large Language Models (LLMs), and agentic workflows to automate research, generate market intelligence, and improve analytical efficiency.
- Strategic Thinking: Ability to frame ambiguous business problems, develop analytical approaches, and translate findings into strategic recommendations.
- Communication: Ability to clearly communicate complex analytical concepts to technical and non-technical audiences.
- Strong problem-solving skills and attention to detail.
- Demonstrated ability to influence strategic business decisions through analytical insights.
- Excellent communication, collaboration, and presentation skills with both technical and executive stakeholders.
Preferred Qualifications
- Master's degree or PhD in Data Science, Statistics, Economics, Finance, Operations Research, or MBA with a quantitative focus.
- Experience within real estate, private equity, investment management, asset management, or financial services.
- Experience building and deploying predictive pricing, forecasting, or optimization models in production.
- Experience utilizing geospatial analytics and external market data sources.
- Experience with AWS cloud services and modern AI platforms.
- Familiarity with Git, Agile development methodologies, and collaborative software development practices.
Why work for Maymont Homes?
Our Mission - " We Positively Impact the Lives in the Communities We Serve ." Every role contributes to this purpose, helping families find a place to call home while making a difference in the communities we support.
Certified Great Place to Work® - Our people make us who we are. This certification celebrates the values and culture that fuel collaboration, innovation, and care.
Outstanding Benefits - Backed by Brookfield, our benefits include a 5% 401(k) match, wellness credits that reduce healthcare costs, and up to 160 hours of PTO annually for full-time employees.
Career Growth - With continued expansion planned for Maymont, you'll find meaningful opportunities to grow your skills, advance your career, and make an impact.
Strong Foundation - As part of Brookfield Asset Management, one of the world's largest real estate asset managers, we have the stability, resources, and vision to keep growing.
Equal Opportunity Employer: Minorities/Religion/Sex/Protected Veterans/Disability/Sexual Orientation/Gender Identity/Marital Status/Pregnancy/Age/National Origin/Genetic Information. #MYMT
See All 69 Healthcare Data Analyst Jobs in South Carolina
Find roles in South Carolina that match your experience and apply in just a few clicks.
Find Healthcare Data Analyst JobsHealthcare Data Analyst Jobs by City in South Carolina
Where South Carolina roles are concentrated, by current openings.
Healthcare Data Analyst Job Market in South Carolina
A snapshot from current South Carolina openings, updated as new roles post.
Who's Hiring
- Aveanna Healthcare11

- Optum9

- Boeing8

- State of South Carolina5

- The MIL Corporation3

Top Industries Hiring
- Healthcare & Medical Services5
- Construction & Real Estate4
- Consulting & Professional Services4
- Manufacturing2
- Retail1
What South Carolina Employers Look For
The qualifications that appear most often in healthcare data analyst jobs across South Carolina.
- Bachelor's degree in health informatics, data science, statistics, or a related field
- Proficiency in SQL for querying large clinical or claims datasets
- Experience with healthcare data standards such as HL7, ICD-10, or CPT codes
- Familiarity with analytics platforms such as Tableau, Power BI, or SAS
- Knowledge of HIPAA privacy requirements and secure data handling practices
- Experience working with electronic health record systems such as Epic or Cerner
Healthcare Data Analyst Jobs in South Carolina: Frequently Asked Questions
How do you become a healthcare data analyst in South Carolina?
Most healthcare data analyst roles in South Carolina require at least a bachelor's degree in health informatics, data science, public health, or a related discipline. There is no state-issued license specific to this role, but earning a Registered Health Information Administrator credential through the American Health Information Management Association strengthens candidacy significantly with South Carolina hospital systems and payers. Employers such as Prisma Health and MUSC Health also value direct experience with electronic health records and value-based care reporting.
How much do healthcare data analysts make in South Carolina?
Healthcare data analysts in South Carolina earn a median of about $91,990 a year, based on May 2025 Bureau of Labor Statistics wage data, ranging from around $61,600 for the lowest 10% to over $156,000 for the top 10%. Pay rises with experience, specialty, and employer.
Which companies hire healthcare data analysts in South Carolina?
Employers hiring healthcare data analysts in South Carolina right now include Aveanna Healthcare, Optum, and Boeing, based on current listings on Migrate Mate as of July 2026. South Carolina's large integrated health systems and the state's dominant insurance payer consistently generate the highest volume of analyst openings.
Which South Carolina cities have the most healthcare data analyst jobs?
Columbia, North Charleston, and Charleston have the most healthcare data analyst openings in South Carolina. Columbia leads because it is home to Prisma Health's corporate offices, BlueCross BlueShield of South Carolina, and the South Carolina Department of Health and Environmental Control, while Greenville's growth as a regional healthcare hub and Charleston's concentration of MUSC Health academic medical facilities drive demand in those markets.
Are there remote healthcare data analyst jobs in South Carolina?
Yes, and more than most healthcare roles, because the work is desk-based and analytical rather than hands-on clinical. About 20% of healthcare data analyst openings tied to South Carolina are remote or hybrid as of July 2026, reflecting the field's strong compatibility with distributed teams. Population health reporting, payer analytics, and quality measure work are the sub-areas most commonly offered on a fully remote basis.
How can I get hired as a healthcare data analyst in South Carolina with little or no experience?
The most realistic entry path is lateral movement from a healthcare operations or medical coding role into reporting or data coordination work, which major South Carolina health systems use to grow analysts internally. MUSC Health and Prisma Health both post entry-level health informatics and data coordinator positions that do not require prior analytics experience. Building a portfolio of SQL queries or Tableau dashboards using publicly available South Carolina DHEC datasets, and earning a Registered Health Information Technician credential, can differentiate a candidate with no direct experience.
Where can I find and apply to healthcare data analyst jobs in South Carolina?
You can find and apply to healthcare data analyst jobs in South Carolina on Migrate Mate, which lists current South Carolina openings from health systems, insurers, and state agencies. Search the listings, find roles that fit your background and location, and apply directly through each posting.
See All 69 Healthcare Data Analyst Jobs in South Carolina
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Find Healthcare Data Analyst Jobs