Data Analyst

Mayo Clinic•Rochester, MN

About The Position

This position utilizes data analysis, reporting, and database management skills in support of internal and external analysis, information needs and institutional metrics and dashboard reporting. Handles moderately and highly complicated data requests. Makes recommendations to requestor for additional data that may be beneficial to the analysis. The incumbent is responsible for educating new users to the related reporting systems. The incumbent will also consult with experienced users regarding the appropriate use and interpretation of the data and/or development and enhancement of the reporting systems/databases. Other responsibilities include assuming direct responsibility for defined work duties which may include all or some aspects of implementation, testing, auditing, and trouble-shooting new reporting system/software releases. Designs, builds, and operates scalable analytics and AI pipelines using structured and unstructured data. Applies machine learning, natural language processing, and programmatic analytics (e.g., Python, SQL, and R) to generate automated, actionable insights. Partners with AI/ML, engineering, and business teams to deploy, monitor, and integrate models into enterprise reporting, operational workflows, and decision‑support systems.

Requirements

Data analysis skills
Reporting skills
Database management skills
Machine learning
Natural language processing
Programmatic analytics (e.g., Python, SQL, and R)

Responsibilities

Utilizes data analysis, reporting, and database management skills in support of internal and external analysis, information needs and institutional metrics and dashboard reporting.
Handles moderately and highly complicated data requests.
Makes recommendations to requestor for additional data that may be beneficial to the analysis.
Educates new users to the related reporting systems.
Consults with experienced users regarding the appropriate use and interpretation of the data and/or development and enhancement of the reporting systems/databases.
Assumes direct responsibility for defined work duties which may include all or some aspects of implementation, testing, auditing, and trouble-shooting new reporting system/software releases.
Designs, builds, and operates scalable analytics and AI pipelines using structured and unstructured data.
Applies machine learning, natural language processing, and programmatic analytics (e.g., Python, SQL, and R) to generate automated, actionable insights.
Partners with AI/ML, engineering, and business teams to deploy, monitor, and integrate models into enterprise reporting, operational workflows, and decision‑support systems.