Sr. Healthcare Data Analyst
United States of America
Full Time
4 days ago
$106,000 - $144,000 USD
H1B Sponsor Likely
Key skills
Healthcare claims data analysisFraud detectionMedicaidMedicareSQLPythonMachine learningDatabricksSnowflakeCustomer service orientationRMachine LearningAnalyticsLeadershipProblem Solving
About this role
General Dynamics Information Technology is a global technology and professional services company that delivers consulting, technology, and mission services. They are seeking a Sr. Healthcare Data Analyst to lead project teams in analyzing and developing tools to detect and prevent fraud in Medicare programs, while guiding junior team members and communicating insights effectively.
Responsibilities:
- Manage analytics and machine learning projects from kick-off to completion, ensuring their analytic rigor and include actionable results to detect and deter FWA
- Guide junior team members in the completion of technical tasks while remaining hands on to analyze claims data and conduct advanced statistical analyses when needed
- Use predictive modeling to increase and optimize efficiencies, process improvements, and other business outcomes
- Partner with subject matter experts to deliver quality, actionable findings
- Present complex analytics and insights in a comprehensible manner to a range of audiences (technical/non-technical) and to various levels of leadership
- Identify opportunities for leveraging Medicare and Medicaid data to drive insightful FWA solutions
- Advocate for and help implement best practices in data management and analytics to drive continuous improvement
- Effectively communicate with team members while working remotely
- Perform additional duties as assigned
Requirements:
- Bachelor of Arts/Bachelor of Science degree with an analytical or technical focus (i.e., Statistics, Computer Engineering, Applied Mathematics) or related area
- Minimum of 5+ years of Medicid experience and conducting advanced analyses utilizing healthcare claims data for the use of fraud detection
- Ability to understand, simplify and explain data in business terms to technical and non-technical audiences
- Proficiency in SQL and Python, with familiarity with R or Python for data science (including machine learning)
- Familiarity with Databricks and/or Snowflake
- Strong relationship building skills with both internal and external stakeholders
- Customer service oriented and solutions focused attitude
- Sound analytical, problem solving, and qualitative skills