Cotiviti is looking to solve the problem of improving healthcare quality and reducing inefficiency by leveraging unparalleled clinical and financial datasets to deliver deep insight into the performance of the healthcare system.
Requirements
- 2-4 years’ experience with healthcare data analysis. Strong data manipulation skills using database and spreadsheet applications.
- 2+ years’ experience within the Healthcare or Insurance space in a Data Warehouse operations organization.
- Ability to use SQL (SSMS) and other data tools to analyze diverse data sets.
- Strong understanding of Microsoft SQL Server
- Strong understanding of Extract Transform and Load (ETL) processing
- Demonstrated understanding of SQL Server Integration Services
- Understanding of prevalent Software Development Lifecycle Methodologies with specific exposure or participation in Agile/Scrum techniques
Responsibilities
- Responsible for data management and data quality.
- Host and facilitate discussions with Healthcare data carriers to (1) manage data intake, and (2) ensure all client data requirements are discussed and confirmed.
- Perform data quality checks verifying that data provided is consistent with the requirements to build Claims, Member, Eligibility, etc. databases.
- Analyze and Profile incoming client data to understand what is being provided.
- Map incoming client data to existing databases according to standards in place.
- Work with engineers to test all incoming data to make sure that it is loaded correctly.
- Optimization and tuning of SQL queries, stored procedures, and triggers
Other
- Bachelor’s Degree in Computer Science, Information Technology, Information Systems, or related
- Excellent written and verbal communication skills, with the ability to multitask and prioritize projects to meet scheduled deadlines.
- Ability to work well independently or in a team environment.
- Must be able to perform duties with or without reasonable accommodation.
- Critical Thinking: Ability to think critically and evaluate information objectively, considering different perspectives and potential implications before drawing conclusions or making recommendations.
