Sr. Data Analyst

📋 Description

• Develop and implement analytical models and methodologies to support Medicare and Medicaid fraud
• Apply healthcare data and policy expertise to known fraud schemes, identifying potential patterns
• Design and execute tests to validate analytical hypotheses and use findings to build and improve
• Detect anomalies, investigate unusual activity, and identify outliers or patterns potentially
• Build advanced analytical models using Python, R, SQL, SAS, and other appropriate tools.
• Extract, manipulate, merge, and analyze large Medicare, Medicaid, and other healthcare claims

🎯 Requirements

• Bachelor's degree in Statistics, Mathematics, Computer Science, or a related field, or at least 6
• At least 6 years of professional experience working with large and complex datasets.
• Advanced knowledge of analytical, mathematical, and statistical methods.
• Demonstrated experience working with healthcare claims data, particularly Medicare and Medicaid
• Experience or working knowledge of ICD-10 codes, HCPCS, and Diagnosis Related Groups (DRGs).
• Strong SQL and data manipulation skills, including merging disparate datasets, INNER/LEFT/RIGHT

🎁 Benefits

• Annual salary range of $70,000–$100,000 for U.S.-based remote candidates.
• Paid vacation and sick leave.
• Paid holidays.
• Health, dental, and vision insurance.
• Short-term and long-term disability coverage.
• Life insurance.