Sr. Healthcare Data Analyst
United States of America
Full Time
1 hour ago
$106,000 - $144,000 USD
H1B Sponsor Likely
Key skills
Healthcare claims data analysisFraud detectionMedicareMedicaidSQLPythonMachine learningDatabricksSnowflakeRMachine LearningAnalyticsLeadershipProblem Solving
About this role
General Dynamics Information Technology is a global technology and professional services company. The Sr. Healthcare Data Analyst will lead project teams to analyze and develop tools for detecting and preventing fraud in Medicare programs, while managing analytics projects and guiding junior team members.
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 experience conducting advanced analyses utilizing healthcare claims data for the use of fraud detection, including at least 2 years managing team-based analytics projects
- 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