Remote Sr. Healthcare Data Analyst (Full-time, Remote)
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Description:
The Senior Healthcare Data Analyst at Integrity Management Services is responsible for maintaining confidentiality and security of sensitive information related to healthcare systems.
They build models and conduct analytics to contribute to Medicare and Medicaid fraud detection efforts.
The analyst identifies anomalies in healthcare data to detect fraud, waste, and abuse.
Using tools like Python, R, SQL, and SAS, they manipulate and extract Medicare, Medicaid, and other healthcare claims data.
The role involves continuous learning of Medicare and Medicaid policy changes and evaluating their impact on fraud detection models.
The analyst provides subject matter expertise to other analysts, participates in testing sprints and projects, and communicates effectively with technical and non-technical users.
They lead team projects, stay informed about industry changes, and exercise discretion in company policies and practices.
Requirements:
Minimum 4-year degree in statistics, mathematics, computer science, or related field OR minimum of 6 years of data analysis experience in the healthcare industry.
6 years of professional experience working with large and complex data sets.
Minimum of 3 years of data analysis experience in the healthcare industry.
Advanced knowledge of analytic, mathematical, and statistical methods.
Experience with Medicare and Medicaid claims, ICD10 codes, HCPCS, DRG.
Proficiency in tools like SAS, SQL, Python, R, Databricks, and Microsoft Office products.
Ability to respond to tasks in a cooperative and timely manner, adapt to change, and work collaboratively in a team.
Must be able to pass a public trust background check.
Benefits:
Opportunity to work remotely.
Competitive salary and benefits package.
Opportunity for professional development and growth.
Collaborative and supportive work environment.
Opportunity to work on projects that make a difference in fraud detection in government programs.