USM
Data Analysis is the art of collecting and analyzing data so that FEP can use said data to address gaps in operational capabilities and support analytics and reporting projects. The Senior Data Analyst/Modeler is a highly trained professional who will become an expert in our source data and lead the data mapping effort to migrate the data into our new enterprise data platform. The Senior Data Analyst/Modeler will use his/her technical expertise and work closely with source system experts to perform data research, run advanced queries, assess data quality and integrity issues, determine data definitions, and define data mappings.
Tasks:
Candidate will support the implementation of a Data Integration/Data Warehouse for the Informatics Teams
Analyze and assess the quality and integrity of the data
Develop and implement data collection systems and other strategies that optimize statistical efficiency and data quality
Understand the meaning/business context of data
Acquire data from internal or external data sources and maintain mapping documents of the files, databases/data systems
Perform data analysis and data modeling to create source to target mappings
Evaluate risk from statistical information to determine risk to operations or non-compliance
Create systems models, specifications, diagrams, and charts to provide direction to business and other IT teams
Interpret data, analyze results using statistical techniques and provide ongoing reports and feedback
Identify, analyze, and interpret trends or patterns in complex data sets
Preferred Qualifications
Master of Science in Mathematics, Engineering, or Computer Science
Working knowledge of HEDIS, Fraud, Waste & Abuse
Working knowledge of ETL
Working knowledge of ALM
Qualifications Required Qualifications
8+ years demonstrated experience as Data Analyst
Strong Structured Query Language (SQL) skills
Demonstrated ability to perform complex queries, assess data quality and develop data mappings
Working knowledge of U.S. Healthcare Industry
B.S. in Mathematics, Engineering, or Computer Science
Additional Information All your information will be kept confidential according to EEO guidelines.
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Tasks:
Candidate will support the implementation of a Data Integration/Data Warehouse for the Informatics Teams
Analyze and assess the quality and integrity of the data
Develop and implement data collection systems and other strategies that optimize statistical efficiency and data quality
Understand the meaning/business context of data
Acquire data from internal or external data sources and maintain mapping documents of the files, databases/data systems
Perform data analysis and data modeling to create source to target mappings
Evaluate risk from statistical information to determine risk to operations or non-compliance
Create systems models, specifications, diagrams, and charts to provide direction to business and other IT teams
Interpret data, analyze results using statistical techniques and provide ongoing reports and feedback
Identify, analyze, and interpret trends or patterns in complex data sets
Preferred Qualifications
Master of Science in Mathematics, Engineering, or Computer Science
Working knowledge of HEDIS, Fraud, Waste & Abuse
Working knowledge of ETL
Working knowledge of ALM
Qualifications Required Qualifications
8+ years demonstrated experience as Data Analyst
Strong Structured Query Language (SQL) skills
Demonstrated ability to perform complex queries, assess data quality and develop data mappings
Working knowledge of U.S. Healthcare Industry
B.S. in Mathematics, Engineering, or Computer Science
Additional Information All your information will be kept confidential according to EEO guidelines.
#J-18808-Ljbffr