Remote Healthcare Data Integration & Analysis Specialist

University of Michigan; Ann Arbor (MI); Hybride; USD 75 000 - 110 000; Plein temps

Avantages offerts par ce poste

Hybrid/Remote work flexibility

Résumé du poste

The University of Michigan is seeking a data management professional to support Michigan OPEN healthcare data initiatives. You will develop data pipelines, merge diverse datasets, and create analytic datasets and visualizations using SQL Server and Power BI.

Collaboration with researchers, data stewards, and analysts is essential to ensure data quality and timely responses to data requests. Hybrid or remote work options are available at the department's discretion, with background screenings per

Qualifications

• Masters degree in Computer Information Systems or related field with 2 years of experience.
• Experience using multiple data sources, including healthcare datasets, to develop dashboards and reports.
• Proficiency with SQL queries, data transformation, and using Microsoft tools (SQL Server, Power BI) for analytics.

Responsabilités

• Perform data management tasks for healthcare data from multiple sources.
• Develop and enhance data pipelines to extract, clean, transform, and merge data.
• Create analytic datasets and perform analyses using statistical software; summarize results in reports and visuals.
• Respond to data queries and manage dataset requests; collaborate with analysts and researchers.
• Assess data quality and maintain data dictionaries and documentation.
• Support grant proposals, presentations, or scientific submissions; improve data processes.

Connaissances

SQL

Power BI

Data modeling

Data visualization

Formation

Masters in Computer Information Systems

Outils

SQL Server

Power BI

Description du poste

The University of Michigan is seeking a data management professional to support Michigan OPEN healthcare data initiatives. You will develop data pipelines, merge diverse datasets, and create analytic datasets and visualizations using SQL Server and Power BI.

Collaboration with researchers, data stewards, and analysts is essential to ensure data quality and timely responses to data requests. Hybrid or remote work options are available at the department's discretion, with background screenings per