Facilities and Energy Services Data Analyst
Listed on 2026-08-03
-
Business
Data Analyst
Job Title
Facilities and Energy Services Data Analyst
AgencyTexas A&M University
DepartmentVP for Facilities
Proposed Minimum SalaryCommensurate
Job LocationCollege Station, Texas
Job TypeStaff
Job Description Our CommitmentTexas A&M University is committed to enriching the learning and working environment by promoting a culture that respects all perspectives, talents & lived experiences. Embracing varying opinions and perspectives strengthens our core values which are:
Respect, Excellence, Leadership, Loyalty, Integrity, and Selfless Service.
Facilities Management, in the Division of Operations, is an emerging department which coordinates and provides followup on the maintenance, custodial, grounds, and utilities & energy services of the campus-built environment to support the teaching and research mission of the university. Facility Management is a service focused department and will be the initial point of contact for all facilities related requests from maintenance to access on TAMU buildings, infrastructure, and amenities under the oversight of TAMU.
If you would like to learn more about Facilities Management, please visit: (Use the "Apply for this Job" box below)./
The primary responsibility of the Facilities and Energy Services Data Analyst is to conduct data queries, analysis, and mining, as well as to generate reports and data visualizations for Facilities & Energy Services and University stakeholders. Additionally, this role will support project coordination efforts, when necessary, particularly for projects that heavily involve data analysis, to help ensure their success.
What You Need To KnowCompensation will be commensurate to the selected hire’s experience.
A cover letter and resume are strongly recommended.
Qualifications RequiredEducation and Experience
- Bachelor’s degree or equivalent combination of education and experience.
- 2 years of experience in data analysis.
- Ability to multi-task and work cooperatively with others.
- Ability to multi-task and work cooperatively with others.
- Ability to effectively work independently.
- Aptitude and willingness to learn new data analysis tools and methodology.
- Ability to gather information requirements, retrieve accurate information, and present that information in an understandable form (MS Excel, Tableau, PowerBI, PowerPoint, or other data visualization/presentation tools).
- Aware of basic statistical analysis tools and tests (regression, probability, and forecasting).
- Ability to multi-task and work cooperatively with others.
- Ability to participate in and foster a collaborative team environment.
- Ability to operate in a deadline-oriented environment.
- Ability to work with users possessing various levels of technical and functional knowledge, and demonstrate a customer service orientation to faculty, staff, administrators, and affiliated professional organizations.
- Possess excellent oral and written communication skills.
- Experience working with Microsoft Excel and visualization tools in a business or higher education environment.
- Aware of basic statistical analysis tools and tests (regression, probability, and forecasting).
- Understanding and appreciation for the role of data analysis in making sound strategic business decisions.
- Proficient background in utilizing spreadsheet or visualization software within both private sector and higher education contexts.
- Proficiency in recognizing the significance of accurate data analysis and data mining in strategic contract management, and in making informed business process decisions.
- Data Analysis
- Conducts data queries. Performs thorough analysis. Data mining. Generates data visualizations for Building Access and all contract management within Facilities & Energy Services’ purview. Utilizes university vehicles to oversee and inspect various campus locations/sites as necessary for in-field verification of data analysis. Performs other duties as assigned. - Data Presentation and Reporting Standards
- Ensures reporting data is retrieved in a systematic formal cadence and well- prepared manner. Develops standardized reports and providing analysis…
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