Climate Data Specialist — Remote/Hybrid

Commonwealth of VA Careers; Blacksburg (VA); Hybrid; USD 43,000 - 47,000; Full time

Job summary

Virginia Tech is seeking a Data Technician to compile, review, and organize project data, maintain reporting workbooks, and prepare producer reports for a federally funded climate-smart agriculture program. The role offers a remote or hybrid work arrangement with Blacksburg, VA as the base location, a 40-hour work week, and an appointment ending September 9, 2027, contingent on funding.

Qualifications include a Bachelor’s degree and data-management experience; proficiency with Excel and

Qualifications

• Bachelor’s degree or equivalent combination of education, training, and relevant experience.
• Experience compiling, organizing, reviewing, and reporting data.
• Proficiency in Microsoft Excel with advanced functions and pivot tables.
• Experience using Microsoft 365 apps and online databases or tracking systems.
• Strong communication and interpersonal skills.
• Ability to follow established procedures, work independently, organize multiple tasks, and meet deadlines.
• Attention to detail and accuracy in maintaining data and records.

Responsibilities

• Compile and review project data and maintain reporting workbooks.
• Review and organize producer reports and supporting documents.
• Support data reporting needs and ensure data quality.
• Assist with generating Conservation Impact Reports as required (per program).

Skills

Data reporting

Excel proficiency

Microsoft 365

Communication skills

Time management

Attention to detail

Education

Bachelor’s degree

Master’s degree (preferred)

Tools

Microsoft 365 apps

Online databases

Tracking systems

Database querying

Job description

Virginia Tech is seeking a Data Technician to compile, review, and organize project data, maintain reporting workbooks, and prepare producer reports for a federally funded climate-smart agriculture program. The role offers a remote or hybrid work arrangement with Blacksburg, VA as the base location, a 40-hour work week, and an appointment ending September 9, 2027, contingent on funding.

Qualifications include a Bachelor’s degree and data-management experience; proficiency with Excel and