Remote Senior Data Analyst - Healthcare Fraud Analytics

Integrity Management Services, Inc.; Alabama; Remote; USD 70,000 - 100,000; Full time

Benefits offered by this job

Health insurance

Dental insurance

Vision insurance

401(K)

Vacation

Sick leave

Paid holidays

Life insurance

Employee assistance plan

Educational benefits

Job summary

Integrity Management Services, Inc. seeks a Senior Data Analyst to apply healthcare data analytics to Medicare and Medicaid fraud, waste, and abuse detection.

You will work with SAS, Python, R, and SQL to build models, validate hypotheses, and deliver high-quality reports for clients in a remote US-based role. The role requires strong statistical methods, experience with large healthcare datasets, and the ability to work independently or lead a small team while collaborating with analysts and

Qualifications

• Minimum 4-year degree in statistics, mathematics, computer science or related field.
• Alternatively, 6+ years' data analysis experience in healthcare.
• Experience with large, complex data sets.

Responsibilities

• Develops models and analytics for Medicare/Medicaid FWA detection.
• Designs tests to validate hypotheses and builds detection models.
• Detects anomalies and investigates fraud indicators in healthcare data.
• Constructs advanced models using Python, R, SQL, SAS.
• Analyzes Medicare/Medicaid claims data in cloud environments.
• Prepares analytical reports and supports project goals.
• May lead the team and coordinate client liaison.

Skills

Data analysis

Statistics

Leadership

Communication

Education

Bachelor's degree in statistics, mathematics, computer science, or related field

Tools

SAS

Python

R

SQL

Job description

Integrity Management Services, Inc. seeks a Senior Data Analyst to apply healthcare data analytics to Medicare and Medicaid fraud, waste, and abuse detection.

You will work with SAS, Python, R, and SQL to build models, validate hypotheses, and deliver high-quality reports for clients in a remote US-based role. The role requires strong statistical methods, experience with large healthcare datasets, and the ability to work independently or lead a small team while collaborating with analysts and