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    Data Analysis and Web Visualization Specialist

    • 536916
    • Blacksburg, Virginia
    • For Resources & Environ Consrv
    • Staff
    • Natural Resources
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    Job Description

    The Department of Forest Resources and Environmental Conservation in the College of Natural Resources and Environment seeks a Data Analysis and Web Visualization Specialist for the following responsibilities:

    Assist faculty, staff, and graduate students with data analysis, visualization, and communication for research, teaching, and outreach projects. Develop and support web-based tools and displays, including interactive tools such as R Shiny. Maintain and modernize/update existing departmental online assets and web content such as the Virginia Big Tree Program and the Virginia Tech Dendrology websites. Develop and deliver training and provide consultation to department members on data analysis workflows, visualization, and digital tools.

    Required Qualifications

    • Bachelor's degree in a field related to data analysis, information technology, instructional technology, natural resources, or a related discipline; or equivalent level of training and experience;
    • Demonstrated ability to organize, analyze, and visualize quantitative and qualitative data;
    • Demonstrated experience with software used for data analysis and visualization such as R, R Shiny, Python, spreadsheets, or similar tools;
    • Demonstrated ability to update and maintain web-based content, applications, databases, or other digital resources;
    • Demonstrated ability to assist faculty, staff, and students with data analysis and visualization needs and to provide related user support and training;
    • Demonstrated ability to communicate clearly in written and spoken English, and to work collaboratively with individuals having a range of technical backgrounds;

    Preferred Qualifications

    • Advanced degree or demonstrated experience in a discipline related to the department’s mission;
    • Demonstrated ability to develop interactive dashboards, web applications, or data visualization tools for research, teaching, or outreach;
    • Experience with Enterprise Content Management Systems, HTML/CSS, web accessibility, and digital communications best practices;
    • Experience with environmental, forestry, natural resources, or geospatial data.

    Pay Band

    4

    Overtime Status

    Non-Exempt: Eligible for overtime

    Appointment Type

    Regular

    Salary Information

    $65,000

    Hours per week

    40

    Review Date

    August 3, 2026

    Additional Information

    The successful candidate will be required to have a criminal conviction check.

    About Virginia Tech

    Dedicated to its motto, Ut Prosim (That I May Serve), Virginia Tech pushes the boundaries of knowledge by taking a hands-on, transdisciplinary approach to preparing scholars to be leaders and problem-solvers. A comprehensive land-grant institution that enhances the quality of life in Virginia and throughout the world, Virginia Tech is an inclusive community dedicated to knowledge, discovery, and creativity. The university offers more than 280 majors to a diverse enrollment of more than 36,000 undergraduate, graduate, and professional students in eight undergraduate colleges, a school of medicine, a veterinary medicine college, Graduate School, and Honors College. The university has a significant presence across Virginia, including Blacksburg, the greater Washington, D.C. area, the Health Sciences and Technology Campus in Roanoke, sites in Newport News and Richmond, and numerous Extension offices and research institutes. A leading global research institution, Virginia Tech conducts more than $650 million in research annually.

    Virginia Tech endorses and encourages participation in professional development opportunities and university shared governance.  These valuable contributions to university shared governance provide important representation and perspective, along with opportunities for unique and impactful professional development.

    Virginia Tech does not discriminate against employees, students, or applicants on the basis of age, color, disability, sex (including pregnancy), gender, gender identity, gender expression, genetic information, ethnicity or national origin, political affiliation, race, religion, sexual orientation, or military status, or otherwise discriminate against employees or applicants who inquire about, discuss, or disclose their compensation or the compensation of other employees or applicants, or on any other basis protected by law.

    If you are an individual with a disability and desire an accommodation, please contact (Ingrid Skenderian) at (singrid1@vt.edu) during regular business hours at least 10 business days prior to the event.


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