Senior Data Analyst
New
J
JobgetherHealthcare analytics
Based in the United StatesFull-TimeSenior
Salary70,000 - 100,000 USD per year
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Job Details
- Experience
- At least 6 years of professional experience working with large and complex datasets.
- Required Skills
- PythonSQLR
Requirements
- Have a bachelor's degree in Statistics, Mathematics, Computer Science, or a related field, or at least 6 years of healthcare data analysis experience.
- Have at least 6 years of professional experience working with large and complex datasets.
- Bring advanced knowledge of analytical, mathematical, and statistical methods.
- Have experience with healthcare claims data, particularly Medicare and Medicaid claims.
- Have experience or working knowledge of ICD-10 codes, HCPCS, and Diagnosis Related Groups (DRGs).
- Demonstrate strong SQL and data manipulation skills, including merging datasets, joins, COALESCE(), and CAST().
- Be familiar with SAS functions and procedures, including SUBSTR(), LAG(), and PROC SQL.
- Be proficient in one or more of SAS, Python, R, and SQL.
- Have knowledge of analytical methodologies and program integrity analytics.
- Be proficient with Microsoft Office applications, including Excel, Word, PowerPoint, and Outlook.
- Be able to obtain security clearance if required by the client or contract.
- Have reliable wired and/or wireless internet access to work remotely.
Responsibilities
- Develop and implement analytical models and methodologies for Medicare and Medicaid fraud, waste, and abuse detection.
- Apply healthcare data and policy expertise to known fraud schemes and identify patterns and indicators in claims data.
- Design and execute tests to validate analytical hypotheses and improve fraud detection models.
- Detect anomalies, investigate unusual activity, and identify potential fraud, waste, or abuse patterns.
- Extract, manipulate, merge, and analyze large healthcare claims datasets stored in cloud environments.
- Monitor Medicare and Medicaid policy developments and update analytical models as needed.
- Provide subject matter expertise, technical guidance, and analytical support to Statistical and Data Analysts.
- Conduct peer reviews and help maintain the quality and accuracy of project deliverables.
- Prepare analytical reports communicating findings, methodologies, and recommendations.
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