Enterprise Data Analyst Senior
University of Michigan
Ann Arbor, MI
ID: 7289770
Posted: Recently posted
Application Deadline: Open Until Filled
Job Description
Job Summary
The Data & Analytics Platforms Administration Team at Michigan Medicine is seeking a candidate to fulfill the role of Senior Enterprise Data Analyst. The team curates, integrates, and maintains enterprise data in support of our mission to provide the highest quality patient care, research, and medical education. The team provides excellent customer support to our academic, research, clinical and revenue cycle customers.
The successful candidate is one that loves working with data and building-data driven solutions in a collaborative and energetic team. They will work with a team of application administrators, data architects, and analysts to provide Epic build support to Michigan Medicine's clinical, academic, business users, and data architects. They will play a vital role in designing & developing enterprise data warehouse assets, recommend documentation standards, policies, and procedures for data and analytics applications.
Responsibilities*
Engage with customers to understand business challenges and objectives.
Formulate and define project scope and objectives based on both user needs and a good understanding of applicable business systems and industry requirements.
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.
Ability to work in a dynamic development environment, adjust to frequently changing priorities, and be able to multi-task.
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.
Required Qualifications*
Senior Level Qualifications
Bachelor's degree or equivalent combination of education and experience
5+ years professional experience
Intermediate Level Qualifications
Bachelor's degree or equivalent combination of education and experience
2-3 years professional experience
Desired Qualifications*
Minimum 5 years of demonstrated experience in a related 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 and demonstrated competency to work effectively on a team.
Excellent written and verbal communication skills.
Experience with report development and data visualization.
Proficient with Microsoft Excel.
Experience with the full software development lifecycle including requirements analysis, design, implementation, quality assurance testing and documentation.
Experience supporting finance operations.
Experience with cloud-hosted application and data management platforms.
Experience resolving complex data integration issues involving multiple technologies and business areas.
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.
The Data & Analytics Platforms Administration Team at Michigan Medicine is seeking a candidate to fulfill the role of Senior Enterprise Data Analyst. The team curates, integrates, and maintains enterprise data in support of our mission to provide the highest quality patient care, research, and medical education. The team provides excellent customer support to our academic, research, clinical and revenue cycle customers.
The successful candidate is one that loves working with data and building-data driven solutions in a collaborative and energetic team. They will work with a team of application administrators, data architects, and analysts to provide Epic build support to Michigan Medicine's clinical, academic, business users, and data architects. They will play a vital role in designing & developing enterprise data warehouse assets, recommend documentation standards, policies, and procedures for data and analytics applications.
Responsibilities*
Engage with customers to understand business challenges and objectives.
Formulate and define project scope and objectives based on both user needs and a good understanding of applicable business systems and industry requirements.
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.
Ability to work in a dynamic development environment, adjust to frequently changing priorities, and be able to multi-task.
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.
Required Qualifications*
Senior Level Qualifications
Bachelor's degree or equivalent combination of education and experience
5+ years professional experience
Intermediate Level Qualifications
Bachelor's degree or equivalent combination of education and experience
2-3 years professional experience
Desired Qualifications*
Minimum 5 years of demonstrated experience in a related 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 and demonstrated competency to work effectively on a team.
Excellent written and verbal communication skills.
Experience with report development and data visualization.
Proficient with Microsoft Excel.
Experience with the full software development lifecycle including requirements analysis, design, implementation, quality assurance testing and documentation.
Experience supporting finance operations.
Experience with cloud-hosted application and data management platforms.
Experience resolving complex data integration issues involving multiple technologies and business areas.
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.