Deliver insights to help our clients turn data into action as a Sr. Healthcare Data Analyst at GDIT. Your work will provide transformative solutions to our clients’ big-data opportunities and help advance the mission. Here, you can make a meaningful impact on our clients’ mission and on your career. At GDIT, people are our differentiator. As a Sr. Healthcare Data Analyst you will help ensure today is safe and tomorrow is smarter. The Sr. Healthcare Data Analyst will be a collaborative part of our team to support the Centers for Medicare & Medicaid Services (CMS) mission to detect and prevent fraud, waste, or abuse across the Medicaid program through advanced analytics and data visualization solutions. Responsibilities: Perform data analysis, interpretation, and reporting duties. Develops rules and methodologies for data collection and analysis. Conduct research of vulnerabilities and high-risk areas within the Medicaid program integrating policy understanding and in-depth claims analysis. Present analytic findings through written, verbal, and visualization techniques to communicate complex studies and recommended actions in a way that is easy to understand for a wide range of audiences. Use critical thinking and exploratory research to understand program rules and how data can provide insights to inform decision making. Utilize analytic skills including ability to efficiently work with large datasets to uncover patterns and trends that are meaningful to program oversight and action. Proactively and effectively collaborates with leadership and team members to identify solutions to complex challenges. Required Skills: Bachelors Degree and at least 5+ years of T-MSIS experience conducting advanced analysis of Medicaid data Experience using SQL, Python, Tableau, Databricks, Snowflake or similar analytic, reporting, and dashboard/visualization tools. Experience building advanced analytic solutions meeting business challenges through understanding of Medicaid policy. Experience building analytics and visualization solutions to detect and prevent fraud, waste, or abuse. #J-18808-Ljbffr
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