Clinical Engineering Data Analyst

Allina Health

4d • $33 - $45 • Hybrid

About The Position

Allina Health is a not-for-profit health system serving individuals, families, and communities throughout Minnesota and western Wisconsin. The Clinical Engineering Data Analyst supports data analysis, project management, and quality analysis activities to improve clinical quality, measurement strategy, and operational efficiency. The role consults with administrative and physician leaders and staff on quality, safety, performance improvement, and regulatory activities.

This is a hybrid position based in commuting distance of Allina Commons in Minneapolis, Minnesota. The schedule is an 8-hour day shift, 40 hours per week, with no weekend rotation.

Requirements

• Bachelor's degree in information technology, health informatics, public health, epidemiology, program evaluation, or a related healthcare or scientific discipline.
• 2 to 5 years of professional or clinical experience.
• Experience with quantitative data analysis and familiarity with data collection and electronic health record tools.

Nice To Haves

• Master's degree in information technology, health informatics, public health, epidemiology, program evaluation, or a related healthcare or scientific discipline.
• Well-developed medical writing skills and experience serving as lead author of peer-reviewed publications.
• Experience with procurement and supply chain processes.
• Knowledge of inventory management practices and inventory control systems.
• Strong analytical and problem-solving abilities.
• Ability to assist, train, and support users in accurate data entry and maintenance within databases and business systems.

Responsibilities

• Serve as a subject matter expert in data analytics and quality measurement, guiding teams on best practices and organizational standards.
• Convene and coordinate regular research and measurement stakeholder meetings.
• Catalog research and measurement outputs.
• Support maintenance of internal and external research websites and multimedia strategies for disseminating research and quality analysis results.
• Coordinate ad hoc scientific or data-related projects and participate in recurring quality, clinical, and operations meetings.
• Provide technical and educational support to users of data analytics tools, documentation, and processes.
• Collaborate on analytic strategies for quality analysis and help identify data issues relevant to interpretation, including patient chart reviews to validate measure inclusion and exclusion criteria and data accuracy.
• Consult on interpretation of quality analysis and recommend approaches to measurement.
• Participate in program evaluation for the business unit.
• Serve as a resource on organizational initiatives and applications, helping teams maximize the value of tools such as Vizient, USWNR, Riskonnect, PSO, and Epic.
• Use statistical software to extract and prepare data and conduct analysis.
• Direct and contribute to data abstraction and collection; summarize and interpret findings.
• Conduct literature reviews to identify gaps in available evidence and prepare interpretive summaries.
• Contribute to study design, methods, data collection approaches, and grant applications.
• Perform other duties as assigned.

Benefits

• Medical and dental coverage
• PTO/time away
• Retirement savings plans
• Life insurance
• Short-term and long-term disability
• Voluntary benefits, including vision, legal, and critical illness coverage
• Tuition reimbursement or continuing medical education, as applicable
• Student loan support benefits to navigate the Federal Public Service Loan Forgiveness Program
• Well-being resources, including well-being dollars, navigators, programs, personal coaching, and tools

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level