Senior Data Analyst

This is a fully remote position, open to applicants in Maryland.

📋 Description

• Conduct research to identify best practices and analyze data sources from Medicaid and the Children’s Health Insurance Program (CHIP), including claims, TAF, program oversight metrics, scorecards, and performance data.

• Execute routine and exploratory data analyses utilizing statistical methods, predictive modeling, and data-mining techniques.

• Construct predictive models, identify trends, and produce actionable insights.

• Create and present reports, ad hoc analyses, and data visualizations that adhere to HCD and UX best practices.

• Collaborate within an agile framework alongside data analysts, data scientists, and both internal and external stakeholders.

• Define analytical needs, develop value-added solutions, and enhance business operations.

• Lead the development of analytic products utilizing Medicaid and CHIP data, from pilot studies to operational and reporting dashboards.

• Independently manage the development and release of assigned research projects and analytic use cases, either solo or as part of a team.

• Provide guidance and direction to both technical and non-technical personnel.

• Prepare technical deliverables, including presentation decks, reports, and draft manuscripts.

• Clearly communicate findings to clients and scientific audiences through engaging presentations.

• Integrate qualitative design research with exploratory data analysis to enhance health policy and outcomes.

• Review documentation, references, and training materials related to analytic methodologies, data structures, content, and data quality.

⛳️ Requirements

• Must be a U.S. citizen or otherwise authorized to work in the United States.

• Demonstrate physical residency in the U.S. for a minimum of 3 of the past 5 years.

• Bachelor’s degree with at least 10 years of relevant experience, or an equivalent combination of education and experience.

• A minimum of four years of specialized experience may be considered in lieu of a bachelor’s degree.

• At least 4 years of experience in designing and conducting research studies, implementing analytic use cases, and building ad hoc or planned work products.

• Familiarity with statistical methods, including distributions, hypothesis testing, and regression analysis.

• Proven experience in conducting complex data analyses using visualization techniques.

• Direct experience with data analytics utilizing SQL or PySpark.

• Hands-on experience with TAF data, CMS-416T reports, and the processes for generating state health outcome metrics.

• Preferred subject matter expertise in text analytics.

• Experience with Natural Language Processing (NLP) techniques using Python or similar technologies is advantageous.

• Proficiency in Python and R is a plus.

• Previous experience with the Centers for Medicare & Medicaid Services (CMS) or other governmental agencies is desirable.

• Exceptional verbal and written communication skills.

• Ability to present complex information in a clear manner to diverse audiences.

🏝️ Benefits

• Supportive and collegial team environment.

• Opportunities for career development.

• Access to educational resources.

• An employee-friendly workplace.