CORMAC is seeking a Business Data Analyst to bridge the gap between data analytics and business analysis, transforming data into actionable insights and translating complex business requirements into technical solutions for data-driven healthcare quality programs.
Requirements
- Experience using data querying tools (e.g.,SQL, DBeaver) and/or statistical programming tools (e.g., SAS, Stata, R).
- Strong analytical skills, including experience with statistical modeling techniques such as logistic regression, correlation analysis, or predictive modeling.
- Proficient in creating epics, features, and user stories with clear acceptance criteria.
- Strong understanding of Agile methodologies, especially Scrum and SAFe (Scaled Agile Framework).
- Experience in statistical modeling (e.g., logistic regression) is preferred.
- Experience using data querying tools (e.g.,SQL, DBeaver) and/or statistical programming tools (e.g., SAS, Stata, R).
- Strong analytical skills, including experience with statistical modeling techniques such as logistic regression, correlation analysis, or predictive modeling.
Responsibilities
- Analyze and interpret data to support accurate reporting and policy decision-making
- Identify trends, correlations, and patterns within data to help drive business decisions
- Perform validation and transformation to ensure consistency, completeness, and reliability across data sources
- Apply statistical modeling and analytical methods (e.g., logistic regression, risk adjustment, or trend analysis) to identify insights and patterns in large, complex datasets
- Develop and maintain visualizations and reports that effectively communicate analytical findings to both technical and non-technical audiences
- Collaborate with product owners, data engineers, and QA analysts to ensure data and reporting requirements are clearly defined, implemented, and validated through iterative sprints
- Elicit, analyze, and document business, system, and functional requirements, processes, and workflows using Agile principles
Other
- 5+ years of experience as a Business or Data Analyst in Agile development environments.
- Strong attention to detail and commitment to ensuring data accuracy, completeness, and traceability throughout the data lifecycle.
- Excellent verbal and written communication skills, including the ability to simplify complex information.
- Proficiency with tools such as Jira, Confluence, Excel for backlog and requirement management.
- Prior experience in government or healthcare environments (e.g., Medicare, Medicaid, VA, CMS).
