Remote Sr. Healthcare Data Analyst (Full-time, Remote)

Description:

• The Senior Healthcare Data Analyst at Integrity Management Services, Inc. (IntegrityM) is responsible for maintaining strict confidentiality and security of sensitive information related to healthcare systems.
• The role involves building models and conducting analytics to contribute to Medicare and Medicaid fraud detection efforts.
• The Senior Data Analyst identifies anomalies in healthcare data, constructs fraud detection models, and develops targeted analyses using tools like Python, R, SQL, and SAS.
• They manipulate and extract Medicare, Medicaid, and other healthcare claims data stored in a Cloud environment.
• Continuous learning of Medicare and Medicaid policy changes, providing subject matter expertise to Statistical and Data Analysts, and participating in testing sprints and projects are key responsibilities.
• The Senior Data Analyst may also serve as a Team Lead, communicate with technical and non-technical users, lead team projects, and stay informed about industry changes and regulations.

Requirements:

• Minimum 4-year degree in statistics, mathematics, computer science, or related field OR a 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 or understanding of Medicare and Medicaid claims, ICD10 codes, HCPCS, DRG.
• Proficiency in merging datasets, SQL functions, SAS functions, and project software like SAS, Python, R, Snowflake, Databricks.
• Proficient in Microsoft Office products.
• Ability to respond to tasks in a cooperative and timely manner, adapt to change, work collaboratively, and 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.