We are a leading consultancy dedicated to empowering government and commercial entities in ensuring compliance and integrity within their programs. Our expertise lies in preventing and detecting fraud, waste, and abuse through innovative approaches in data analytics, technology solutions, audits, investigations, and medical reviews.
At our company, we foster a culture of opportunity, recognition, and collaboration. We believe in supporting our community and offer a work environment that values flexibility, quality of life, and sustainability. Join us in delivering creative solutions that exceed expectations while nurturing your professional growth in a dynamic, idea-driven setting. Experience the perks of a large company within the intimate atmosphere of a small, close-knit team!
Job Description
As a Senior Data Analyst, you will play a pivotal role in our mission by leveraging your expertise in healthcare systems and data analysis to support our clients' objectives. You will work independently and collaboratively with our team of Statistical and Data Analysts, contributing to the development of high-quality deliverables.
Responsibilities
Maintain strict confidentiality and security of sensitive information in compliance with company and client protocols.
Build and conduct analytics contributing to fraud prevention efforts in Medicare and Medicaid programs.
Identify anomalies and outliers in healthcare data to detect patterns of fraud, waste, and abuse.
Develop and execute complex analytical models using tools such as Python, R, SQL, and SAS.
Extract and manipulate healthcare claims data stored in cloud environments.
Stay informed about Medicare and Medicaid policies and policy changes, evaluating their impact on fraud detection models.
Provide subject matter expertise and guidance to junior analysts, ensuring the quality of project deliverables.
Effectively communicate procedures and results to technical and non-technical stakeholders.
Lead or participate in team projects and brainstorming sessions to explore various methodologies for study designs.
Stay abreast of industry changes, trends, and regulations relevant to the project.
Requirements
Qualifications:
Bachelor's degree in statistics, mathematics, computer science, or related field OR equivalent experience.
Minimum of 6 years of data analysis experience, with at least 3 years within the healthcare industry.
Advanced knowledge of analytic, mathematical, and statistical methods.
Familiarity with Medicare and Medicaid claims, ICD10 codes, and HCPCS.
Proficiency in analytical software such as SAS/SQL, Python/PySpark, R, and Databricks.
Strong proficiency in Microsoft Office products.
Ability to respond to tasks in a cooperative and timely manner.
Demonstrated adaptability to change and willingness to collaborate within a team environment.
Additional Requirements
Must be able to pass a public trust background check.
Join us in our commitment to integrity and excellence in program management! Apply now to be a part of our dedicated team.
Employment Type: Full-Time
Seniority level
Mid-Senior level
Employment type
Full-time
Job function
Information Technology
Industries
Human Resources Services
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