Data Analyst 2 (Facilities Operations & Planning)

University of Miami-posted 2 days ago

Full-time • Mid Level

Coral Gables, FL

11-50 employees

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The Data Analyst 2 performs a variety of data analyses using various techniques. The Data Analyst 2 assists in developing or implementing systems to capture business operation information. The Data Analyst 2 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.

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.
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.

Bachelor’s degree in relevant field required
Minimum 3 years of relevant experience required
Learning Agility: Ability to learn new procedures, technologies, and protocols, and adapt to changing priorities and work demands.
Teamwork: Ability to work collaboratively with others and contribute to a team environment.
Technical Proficiency: Skilled in using office software, technology, and relevant computer applications.
Communication: Strong and clear written and verbal communication skills for interacting with colleagues and stakeholders.
Bachelor’s degree in Data Analytics, Data Science, Statistics, Computer Science, Engineering, Facilities Management, or a related field is required.
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.
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

Master’s degree preferred.
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)

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