Infection Prevention Data Analyst - Hybrid/Remote

Michigan Medicine; Ann Arbor (MI); Hybrid; USD 65,000 - 90,000; Full time

Benefits offered by this job

Excellent medical, dental and vision

2:1 retirement match

Job summary

Michigan Medicine in Ann Arbor is seeking an Infection Prevention Analyst to support data-driven infection prevention across the enterprise. The IPA collects, analyzes surveillance data, maintains databases and dashboards, and acts as liaison with health departments, under supervision as appropriate.

The role requires collaboration, independent work, and strong data skills; experience with data analysis, statistics, and report generation is valued.

Qualifications

• Bachelor's degree in a health-related field. MPH preferred.
• Ability to reliably attend virtual and in-person meetings.
• Ability to prioritize work assignments and time management.
• Organize time effectively.
• Work independently as well as a member of a team.
• Report generating skills
• Experience in data analysis and/or statistical analysis

Responsibilities

• Collect, assess, review and analyze surveillance data using various surveillance systems
• Maintain records and update databases and dashboards
• Work with Infection Preventionists to conduct activities related to exposures of patients and employees of communicable diseases
• Identify, notify and provide data analysis using data tools and statistics to support Infection Preventionists investigating clusters or outbreaks.
• Other duties as assigned, including outbreak investigations and special projects.

Skills

Data analysis

Statistical analysis

Time management

Teamwork / independent work

Report generation

Education

Bachelor's degree in a health-related field

MPH preferred

Tools

Tableau

SAS

EPIC

Job description

Michigan Medicine in Ann Arbor is seeking an Infection Prevention Analyst to support data-driven infection prevention across the enterprise. The IPA collects, analyzes surveillance data, maintains databases and dashboards, and acts as liaison with health departments, under supervision as appropriate.

The role requires collaboration, independent work, and strong data skills; experience with data analysis, statistics, and report generation is valued.