Enterprise Data Analyst Senior

University Of Michigan - Ann Arbor, MI

Full-time - Mid Level

Remote - Ann Arbor, MI

Educational Services

About the position

The Senior Enterprise Data Analyst position at Michigan Medicine's Health Information Technology & Services (HITS) is crucial for curating, integrating, and maintaining enterprise data to support high-quality patient care, research, and medical education. The role involves collaborating with a team to provide Epic build support and develop enterprise data warehouse assets, ensuring effective use of data and analytics platforms across various stakeholders.

Responsibilities

• Engage with customers to understand business challenges and objectives.
• Formulate and define project scope and objectives based on user needs and business systems.
• Devise or modify processes and procedures to solve complex problems.
• Translate user requirements into actionable system specifications.
• Analyze, test, and validate data structures for accuracy and completeness.
• Consult with customers in the effective use of enterprise data and analytics platforms.
• Recommend and adhere to document standards, policies, and procedures.
• Work in a dynamic development environment, adjusting to frequently changing priorities.
• Collaborate effectively with management, team members, and colleagues across the Academic Medical Center.
• Plan and facilitate meetings with diverse participants and lead collaborations between teams.
• Develop operational reports and presentations.

Requirements

• Bachelor's degree or equivalent combination of education and experience.
• 5+ years professional experience in a related role.

Nice-to-haves

• Minimum 5 years of demonstrated experience in a role requiring confidentiality, timeliness, customer service, organization, prioritization, troubleshooting, and working independently.
• Experience working with the Epic EMR Application.
• Experience with healthcare clinical and revenue cycle business processes.
• Experience with relational databases such as Oracle or Microsoft SQL Server.
• Experience in technical query writing and data integration skills using SQL.
• Strong organizational skills with attention to detail.
• Excellent written and verbal communication skills.
• Experience with report development and data visualization.
• Proficient with Microsoft Excel.
• Experience with the full software development lifecycle.
• Experience supporting finance operations.
• Experience with cloud-hosted application and data management platforms.
• Experience resolving complex data integration issues.
• Experience performing analytics on large healthcare data or large enterprise data stores.
• Experience creating and supporting data driven solutions to support academic or business or clinical processes.
• Familiarity with HIPAA and other healthcare information regulation.

Benefits

• Comprehensive training and career development opportunities.
• Generous retirement savings plans.
• Ample paid time off.
• Wealth of family care support.