Data Analyst 3

University of Miami•Miami, FL

1d•Onsite

About The Position

The Department of Medical Education at the University of Miami/UHealth has an exciting opportunity for a full-time Data Analyst 3 (H) to work in Miami, FL. The Data Analyst 3 (H) performs advanced data analysis using various techniques. This role determines best practices and develops actionable insights and recommendations for the current business operations or issues. Key responsibilities include advanced business data interpretation, such as identifying trends or patterns of complex data sets, and designing of complex databases and dashboards data to optimize statistical efficiency and quality. This role also works collaboratively with internal and external clients and serves as a subject matter expert regarding compensation related concerns. Collaborates with functional stakeholders and subject matter experts within the Miller School of Medicine to gather and document business requirements and proactively identifies opportunities for technological innovation and process improvement. Leads the design, development, and management of systems and databases supporting Medical Education units. Establishes standards and oversees infrastructure processes related to database management. Partners with vendors to assess advanced transaction processing and database production solutions. Implements and maintains integrations between internal and external data systems.

Requirements

Bachelor’s Degree in relevant field
Minimum 5 years of relevant experience
Ability to exercise sound judgment in making critical decisions.
Skill in completing assignments accurately and with attention to detail.
Ability to analyze, organize and prioritize work under pressure while meeting deadlines.
Ability to work independently and/or in a collaborative environment.
Ability to communicate effectively in both oral and written form.
Ability to maintain effective interpersonal relationships.
Proficiency in computer software (i.e. Microsoft Office)
Any appropriate combination of relevant education, experience and/or certifications may be considered.

Responsibilities

Performs advanced data analysis using various techniques, e.g. statistical analysis, explanatory and predictive modeling, data mining.
Determines best practices and develops actionable insights and recommendations for the current business operations or issues.
Performs ad-hoc analyses and reporting, to aid management in the decision-making process.
Builds dashboards or reporting systems for end users, and designs predictive modeling or other data mining capabilities.
Designs and develops complex databases and dashboards data to optimize statistical efficiency and quality.
Provides advanced business data interpretation, such as identifying trends or patterns of complex data sets.
May handle special analytical projects as needed.
Provides support and training to applicable staff regarding data management and use.
Locate and define new process improvement opportunities; proactively identify opportunities to enhance data collection, quality and accessibility.
Develops and implements systems to capture business operation information.
Acts as a subject matter expert and advises less experienced analysts.
Defines data elements and establishes policies and procedures related to the collection, accuracy, quality, security, and maintenance of data.
Adheres to University and unit-level policies and procedures and safeguards University assets.
Collaborates with functional stakeholders and subject matter experts within the Miller School of Medicine to gather and document business requirements and proactively identifies opportunities for technological innovation and process improvement.
Leads the design, development, and management of systems and databases supporting Medical Education units.
Establishes standards and oversees infrastructure processes related to database management.
Partners with vendors to assess advanced transaction processing and database production solutions.
Implements and maintains integrations between internal and external data systems.