Data Analysis and Web Visualization Specialist

Virginia Tech; Blacksburg (VA); Sur place; USD 55 250 - 74 750; Plein temps

Résumé du poste

Virginia Tech in Blacksburg seeks a Data Analysis and Web Visualization Specialist to support research, teaching, and outreach with data analysis, visualization, and communication. The role develops and maintains web-based tools and displays, including interactive R Shiny apps, and helps train faculty, staff, and graduate students in data workflows and digital tools.

You will maintain and modernize departmental online assets such as the Virginia Big Tree Program and dendrology sites, ensuring

Qualifications

• Bachelor's degree in a field related to data analysis, IT, instructional tech, natural resources, or equivalent
• Ability to organize, analyze, and visualize quantitative and qualitative data
• Experience with data analysis/visualization tools such as R, R Shiny, Python, or spreadsheets
• Experience updating and maintaining web-based content, applications, or databases
• Ability to assist faculty, staff, and students with data analysis and visualization and provide training
• Strong written and spoken English communication and collaboration skills

Responsabilités

• Help faculty, staff, and graduate students with data analysis and visualization needs
• Develop and support web-based tools and displays, including interactive R Shiny apps
• Maintain and modernize departmental online assets and web content
• Develop and deliver training and consultation on data analysis workflows and digital tools

Connaissances

Data analysis

Data visualization

R

R Shiny

Python

Web content maintenance

Communication in English

Formation

Bachelor's degree in a related field

Advanced degree (preferred)

Outils

R

R Shiny

Python

Spreadsheets

Description du poste

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 to assist faculty, staff, and graduate students with data analysis, visualization, and communication for research, teaching, and outreach projects. The role includes developing and supporting web-based tools and displays, including interactive tools such as R Shiny, maintaining and modernizing existing departmental online assets and web content such as the Virginia Big Tree Program and the Virginia Tech Dendrology websites, and developing and delivering training and 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.

EEO Statement

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.

Accommodation Contact

If you are an individual with a disability and desire an accommodation, please contact (Ingrid Skenderian) at ([e-mail]) during regular business hours at least 10 business days prior to the event.