You’ll need
Education
✓Bachelor's Degree (Required)
✓Bachelor’s degree in information systems, Health Informatics, Business, or a related field.
Qualifications
✓Working knowledge of SQL or other query languages used for data ingestion, validation, and analysis.
✓Advanced Microsoft Excel skills, including Power Query, pivot tables, lookup functions, and large dataset management.
✓Ability to develop clear education materials, workflow documentation, job aids, and training content.
✓Strong problem-solving skills, attention to detail, and ability to collaborate effectively with cross-functional teams.
✓Ability to manage multiple priorities, meet deadlines, and support concurrent projects in a fast-paced environment.
✓Patient Group Knowledge (Only applies to positions with direct patient contact)
✓The employee must possess/obtain (by the end of the orientation period) and demonstrate the knowledge and skills necessary to provide developmentally appropriate assessment, treatment or care as defined by the department’s identified patient ages.
✓Specifically the employee must be able to demonstrate competency in: 1) ability to obtain and interpret information in terms of patient needs
✓2) knowledge of growth and development
✓and 3) understanding of the range of treatment needed by the patients.
✓Competency Statement
✓Must demonstrate competency through an initial orientation and ongoing competency validation to independently perform tasks and additional duties as specified in the job description and the unit/department specific competency checklist.
Experience working with data and applying data quality, validation, standardization, and reconciliation principles. Healthcare environment a plus . preferred
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About the role
Review, validate, reconcile, and monitor payer, vendor, and external partner data feeds for accuracy, completeness, and timeliness.
What you’ll do
Review, validate, reconcile, andReview, validate, reconcile, and monitor payer, vendor, and external partner data feeds for accuracy, completeness, and timeliness
Identify data discrepancies, missingIdentify data discrepancies, missing information, anomalies, and root causes
Coordinate resolution with sourceCoordinate resolution with source teams and stakeholders
Develop and maintain standardizedDevelop and maintain standardized data definitions, formats, validation rules, and workflows to support reliable system integration and reporting
Partner with Population HealthPartner with Population Health IT, clinical teams, operations, vendors, and payors to support file testing, data feed implementation, and ongoing data readiness