Sr. Healthcare Data Analyst (Full-time, Remote)
Employer Industry: Healthcare Compliance and Data Analytics
Why Consider This Job Opportunity...
Opportunity for career advancement and growth within the organization
Supportive and collaborative work environment
Flexible, remote-friendly career paths that promote work-life balance
Engaging culture with a focus on recognition and community support
Opportunity to work with advanced technology and data analytics in the healthcare sector
What To Expect (Job Responsibilities)
Build models and conduct analytics to identify Medicare and Medicaid fraud, waste, and abuse
Maintain confidentiality and security of sensitive business information
Provide subject matter expertise and guidance to team members on data analysis tasks
Develop targeted analyses and related materials to support fraud detection efforts
Communicate effectively with technical and non-technical users regarding data analysis results
What Is Required (Qualifications)
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
At least 6 years of professional experience working with large and complex data sets
Minimum of 3 years of data analysis experience within the healthcare industry
Advanced knowledge of analytic, mathematical, and statistical methods
Proficiency in project software such as SAS/SQL, Python/PySpark, Snowflake, R, and Databricks
How To Stand Out (Preferred Qualifications)
Experience or understanding of Medicare and Medicaid claims, ICD10 codes, HCPCS, and Diagnosis Related Groups (DRG)
Confidence in merging disparate datasets and using advanced SQL functions
Relevant experience in health-related, scientific, or public policy/business disciplines
Demonstrated adaptability to change and ability to initiate improvements
Ability to pass a public trust background check
#HealthcareCompliance #DataAnalysis #RemoteWork #CareerGrowth #FraudDetection
At Talentify, we prioritize candidate privacy and champion equal-opportunity employment. Central to our mission is our partnership with companies that share this commitment. We aim to foster a fair, transparent, and secure hiring environment for all. If you encounter any employer not adhering to these principles, please bring it to our attention immediately.
Talentify is not the EOR (Employer of Record) for this position. Our role in this specific opportunity is to connect outstanding candidates with a top-tier employer.
Talentify helps candidates around the world to discover and stay focused on the jobs they want until they can complete a full application in the hiring company career page/ATS
Apply Now
Why Consider This Job Opportunity...
Opportunity for career advancement and growth within the organization
Supportive and collaborative work environment
Flexible, remote-friendly career paths that promote work-life balance
Engaging culture with a focus on recognition and community support
Opportunity to work with advanced technology and data analytics in the healthcare sector
What To Expect (Job Responsibilities)
Build models and conduct analytics to identify Medicare and Medicaid fraud, waste, and abuse
Maintain confidentiality and security of sensitive business information
Provide subject matter expertise and guidance to team members on data analysis tasks
Develop targeted analyses and related materials to support fraud detection efforts
Communicate effectively with technical and non-technical users regarding data analysis results
What Is Required (Qualifications)
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
At least 6 years of professional experience working with large and complex data sets
Minimum of 3 years of data analysis experience within the healthcare industry
Advanced knowledge of analytic, mathematical, and statistical methods
Proficiency in project software such as SAS/SQL, Python/PySpark, Snowflake, R, and Databricks
How To Stand Out (Preferred Qualifications)
Experience or understanding of Medicare and Medicaid claims, ICD10 codes, HCPCS, and Diagnosis Related Groups (DRG)
Confidence in merging disparate datasets and using advanced SQL functions
Relevant experience in health-related, scientific, or public policy/business disciplines
Demonstrated adaptability to change and ability to initiate improvements
Ability to pass a public trust background check
#HealthcareCompliance #DataAnalysis #RemoteWork #CareerGrowth #FraudDetection
At Talentify, we prioritize candidate privacy and champion equal-opportunity employment. Central to our mission is our partnership with companies that share this commitment. We aim to foster a fair, transparent, and secure hiring environment for all. If you encounter any employer not adhering to these principles, please bring it to our attention immediately.
Talentify is not the EOR (Employer of Record) for this position. Our role in this specific opportunity is to connect outstanding candidates with a top-tier employer.
Talentify helps candidates around the world to discover and stay focused on the jobs they want until they can complete a full application in the hiring company career page/ATS
Apply Now