Senior Analyst, Quality Analytics & Performance Improvement - SQL/Python/Modelin
Molina Healthcare, Long Beach, California, us, 90899
Employer Industry: Healthcare Services
Why consider this job opportunity:
Opportunity for career advancement and growth within the organization
Competitive benefits and compensation package
Chance to develop expertise in HEDIS and Risk Adjustment
Supportive and collaborative work environment
Engage in meaningful projects that enhance healthcare quality and performance
What to Expect
Collaborate with various departments to capture requirements and create reporting solutions
Assist in predictive intervention strategy analytics and track progress
Develop methodologies for medical record collection and streamline review processes
Conduct strategic data mining to identify gaps in provider performance
Analyze data sets for anomalies and trends using statistical tools and techniques
What is Required (Qualifications)
Bachelor’s Degree in Computer Science, Finance, Math, Economics, or equivalent discipline
Minimum of 5 years of experience in data mapping, scrubbing, and cleaning
At least 5 years of experience in a Managed Care Organization with complex SQL queries
Proficiency in Microsoft T-SQL, SSIS, and SSRS for a minimum of 5 years
Minimum of 3 years of experience in predictive modeling in healthcare quality data
How to Stand Out (Preferred Qualifications)
Familiarity with data science techniques and programming languages like Python and R
Experience with cloud platforms such as Microsoft Azure, AWS, or Hadoop
Previous work with HEDIS rate tracking and medical record review interventions
#HealthcareServices #DataAnalysis #CareerOpportunity #HealthcareQuality #SQLDevelopment
We prioritize candidate privacy and champion equal-opportunity employment. Central to our mission is our partnership with companies that share this commitment. If you encounter any employer not adhering to these principles, please bring it to our attention immediately. We are 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.
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Why consider this job opportunity:
Opportunity for career advancement and growth within the organization
Competitive benefits and compensation package
Chance to develop expertise in HEDIS and Risk Adjustment
Supportive and collaborative work environment
Engage in meaningful projects that enhance healthcare quality and performance
What to Expect
Collaborate with various departments to capture requirements and create reporting solutions
Assist in predictive intervention strategy analytics and track progress
Develop methodologies for medical record collection and streamline review processes
Conduct strategic data mining to identify gaps in provider performance
Analyze data sets for anomalies and trends using statistical tools and techniques
What is Required (Qualifications)
Bachelor’s Degree in Computer Science, Finance, Math, Economics, or equivalent discipline
Minimum of 5 years of experience in data mapping, scrubbing, and cleaning
At least 5 years of experience in a Managed Care Organization with complex SQL queries
Proficiency in Microsoft T-SQL, SSIS, and SSRS for a minimum of 5 years
Minimum of 3 years of experience in predictive modeling in healthcare quality data
How to Stand Out (Preferred Qualifications)
Familiarity with data science techniques and programming languages like Python and R
Experience with cloud platforms such as Microsoft Azure, AWS, or Hadoop
Previous work with HEDIS rate tracking and medical record review interventions
#HealthcareServices #DataAnalysis #CareerOpportunity #HealthcareQuality #SQLDevelopment
We prioritize candidate privacy and champion equal-opportunity employment. Central to our mission is our partnership with companies that share this commitment. If you encounter any employer not adhering to these principles, please bring it to our attention immediately. We are 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.
#J-18808-Ljbffr