Location: College Station, TX
Cap-Exempt H-1B Position — No lottery required
**Job Title** Facilities and Energy Services Data Analyst **Agency** Texas A&M University **Department** VP for Facilities **Proposed Minimum Salary** Commensurate **Job Location** College Station, Texas **Job Type** Staff **Job Description** **Our Commitment** Texas 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. **Who We Are** 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: https://facilities.tamu.edu/ **What We Want** 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 Know** Compensation will be commensurate to the selected hire’s experience. A cover letter and resume are strongly recommended. **Qualifications** **Required Education and Experience** - Bachelor’s degree or equivalent combination of education and experience. - 2 years of experience in data analysis. **Required Kn