Healthcare Data Analyst

The State University of New York • Albany, NY

12h

About The Position

The Healthcare Data Analyst will conduct analyses and synthesize findings for the Office of Health and Hospital Affairs (OHHA). The role manages research and data resources and collaborates with the OHHA team on ongoing projects concerning health topics. The analyst uses complex quantitative and qualitative analyses to provide data-driven insights on priority health topics, which may involve sensitive data and critical performance and policy issues.

The position coordinates with subject matter experts in healthcare finance, healthcare workforce, strategic initiatives, health policy, and student health and wellness. It develops dashboards, visualizations, and narratives to communicate findings, and provides technical assistance and recommendations related to data management. The analyst also supports healthcare market analysis and business modeling and prepares clear analytical materials for internal and external stakeholders.

This position is based in Albany, New York, and is part of the United University Professions Union. The State University of New York System Administration is a mission-driven workplace supporting SUNY campuses, employees, and students.

Requirements

• Bachelor's degree in statistics, economics, education, social sciences, or a healthcare-related field.
• Experience with statistical programming software such as R, SAS, Python, STATA, SPSS, or equivalent.
• Proficiency in Microsoft Office products, including Word, Outlook, and Excel.
• Ability to communicate complex analytical findings to technical and non-technical audiences.
• Highly self-motivated and self-directed.
• Ability to work independently and collaboratively.
• Excellent verbal and written communication skills.
• Must be currently authorized to work in the United States on a full-time basis; visa sponsorship is not available.

Nice To Haves

• Two or more years of relevant work experience or a master's degree in a related field.
• Advanced knowledge of research and/or statistical methodologies, data analysis techniques, data management, dashboards, modeling, and querying.
• Experience with advanced Excel functions such as V-Lookups, Pivot Tables, and model building.
• Experience with R Shiny, Tableau, Tableau Server, SQL, or Redshift.
• Awareness of population health analytics and healthcare data, including CPT/HCPCS, ICD10, revenue codes, DRGs, and risk scores, as well as Medicare and Medicaid value-based arrangements.
• Knowledge of predictive modeling.

Responsibilities

• Assess data needs and lead analysis for team-based projects involving healthcare finance, healthcare workforce, strategic initiatives, health policy, and student health and wellness.
• Create and organize large datasets, files, and systems in coordination with internal SUNY partners, including resources such as SPARCS, ICRs, and MCRs.
• Compile and analyze healthcare data using advanced qualitative and quantitative skills to assess outcomes.
• Develop systems and tools for data management, visualization, and interpretation, and convey information to internal and external stakeholders.
• Access data from multiple sources, including publicly available sources.
• Develop reports, presentations, briefs, and memos that communicate analytical findings clearly to technical and non-technical audiences.
• Support healthcare market analysis and business modeling options.
• Coordinate analyses and reporting across multidisciplinary teams.
• Provide data management-related technical assistance and recommendations as needed.

Benefits

• New York State health insurance.
• Free dental and vision coverage.
• Retirement options, including a fully funded pension plan or a defined contribution plan, as well as supplemental savings plans.
• Tuition assistance.
• Parental leave at full pay and additional paid leave options for childbirth, adoption, elder care, and other family care situations.
• Paid holidays, vacation, and sick time.
• Flexible working arrangements, including hybrid schedules depending on position.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level