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The Data Analyst 2 (A) performs a variety of data analyses using various techniques. The Data Analyst 2 (A) assists in developing or implementing systems to capture business operation information. The Data Analyst 2 (A) analyzes data to ensure the accuracy of reported information and generated reports and identifies opportunities to enhance data collection and analysis. The incumbent works collaboratively with other internal areas and may guide less experienced data analysts.

CORE JOB FUNCTIONS

Performs data analysis using various techniques, e.g. statistical analysis, explanatory and predictive modeling, and data mining. Determines best practices and recommends actionable insights for the current business operations. Performs ad-hoc analyses and reporting, to aid management in the decision-making process. May build dashboards or reporting systems for end users about the assigned project(s). Provides business data interpretation, such as identifying trends or patterns of data sets. Assists in the dissemination and reporting of data, which may include presentations, workshops, and related activities. Analyzes data to ensure accuracy and reports any issues to management. Identifies opportunities to enhance data collection and analysis. Assists in developing or implementing systems to capture business operation information. Adheres to University and unit-level policies and procedures and safeguards University assets.

This list of duties and responsibilities is not intended to be all-inclusive and may be expanded to include other duties or responsibilities as necessary.

CORE QUALIFICATIONS

Education:

Bachelor’s Degree in relevant field

Certification and Licensing:

Not Applicable

Experience:

Minimum 3 years of relevant experience

Knowledge, Skills and Attitudes:

+ 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)

DEPARTMENT ADDENDUM

Department Specific Functions

Clean, analyze, and interpret departmental data—including but not limited to space utilization, maintenance operations, capital renewals, utility consumption, financials, energy efficiency, and project resource allocation. Integrate and manage data from key systems such as CMMS, capital planning tools, space management platforms, GIS system, and energy tracking software. Develop, maintain, and enhance dashboards and reports to support operational metrics, executive briefings, and benchmarking against industry standards (e.g., APPA). Build data-driven models to forecast facility lifecycle costs, identify energy-saving opportunities, and support strategic space planning. Ensure high standards of data quality, documentation, and communication, especially when presenting complex data to non-technical stakeholders.

Department Specific Qualifications

Education:

Bachelor’s degree in Data Analytics, Data Science, Statistics, Computer Science, Engineering, Facilities Management, or a related field is required. Master’s degree preferred.

Certification and Licensing:

+ Data analytics or business intelligence (e.g., Microsoft Power BI Data Analyst Associate)

+ SQL or database management (e.g., Oracle Certified Professional, Microsoft SQL certification)

+ Facilities-related certifications (e.g., APPA Credentialing, Certified Facility Manager - CFM, or GIS certifications)

Experience:

Minimum 2–3 years of professional experience in data analysis, preferably within facilities operations, capital planning, utilities, or space management. Experience with large-scale datasets, enterprise systems (e.g., CMMS, PROJECTO, ENGIE, GIS), and dashboard development required.

Knowledge, Skills and Attitudes:

+ Power BI, GIS, PPT, or other data visualization tools

+ SQL, Python, R for data extraction and statistical analysis

+ Excel (Advanced) for modeling, scenario planning, and report automation

+ Smartsheet for project tracking, data collaboration, and reporting workflows

+ Familiarity with ETL workflows and data integration from enterprise systems

The University of Miami offers competitive salaries and a comprehensive benefits package including medical, dental, tuition remission and more.

UHealth-University of Miami Health System, South Florida's only university-based health system, provides leading-edge patient care powered by the ground breaking research and medical education at the Miller School of Medicine. As an academic medical center, we are proud to serve South Florida, Latin America and the Caribbean. Our physicians represent more than 100 specialties and sub-specialties, and have more than one million patient encounters each year. Our tradition of excellence has earned worldwide recognition for outstanding teaching, research and patient care. We're the challenge you've been looking for.

The University of Miami is an Equal Opportunity Employer - Females/Minorities/Protected Veterans/Individuals with Disabilities are encouraged to apply. Applicants and employees are protected from discrimination based on certain categories protected by Federal law. Click here (https://www.hr.miami.edu/careers/eo-ada/index.html) for additional information.

Job Status:

Full time

Employee Type:

Staff

Pay Grade:

A9