What are the responsibilities and job description for the Data Analyst with Medicaid or Claims position at SIRITECH SOLUTIONS CORP?
Job Description
- Analyze Medicaid claims, eligibility, provider, and encounter data to identify trends, anomalies, and opportunities for improvement.
- Support program evaluation, policy analysis, and operational decision-making through data insights.
- Design and maintain dashboards and reports using tools like Power BI or Tableau. Present findings to stakeholders in a clear, actionable format.
- Work with internal teams, external partners, and leadership to define data needs and deliver solutions. Present findings to stakeholders in a clear, actionable format.
- Ensure all work aligns with Agencys regulations, including HIPAA and state data governance standards. Document methodologies, data sources, and assumptions for transparency and reproducibility.
- Support special projects, audits, and federal reporting initiatives as needed.
- Assist in the development of technical documentation for recurring reports, data pipelines, and reporting logic to ensure consistency and knowledge transfer.
- Develop and validate data extracts for federal and state reporting requirements, including CMS submissions and performance metrics.
- Apply machine learning methods where appropriate to improve forecasting and risk stratification models.
- Perform other duties as required.
- Bachelors or masters degree in data science, Statistics, Computer Science, or a related field.
- Five (5) or more years of experience in data analysis, preferably in healthcare or Medicaid.
- Strong proficiency in SQL/SAS, with working knowledge of Python for data manipulation, analysis, and automation tasks.
- Three (3) years of experience with data visualization tools such as Power BI, Tableau, or similar platforms for building dashboards and reports.
- Strong understanding of healthcare data, especially Medicaid or claims-based data.
- Excellent communication skills and ability to present complex data to non- technical audiences.
- Experience working with state or federal healthcare programs.
- Knowledge of Medicaid managed care, long-term services and support s(LTSS), or waiver programs.
- Familiarity with cloud-based data platforms (e.g., Azure, AWS).
- Experience with machine learning or advanced statistical modeling.