Research Intelligence Analyst — Science & Tech Analytics

Virginia Polytechnic Institute and State University (VT); Blacksburg, Northern (VA, KY); On-site; USD 61,000 - 75,000; Full time

Job summary

Virginia Tech seeks a Science & Technology Research Intelligence Analyst to join the Libraries' Research Impact & Intelligence team. You will document, analyze research activity data, and provide qualitative and quantitative evidence to inform strategic decisions, while educating on research analytics and funding opportunities.

You will act as liaison to a program or institute, support bibliometrics and data science, and collaborate across the Libraries and University to enhance scholars’

Qualifications

• A terminal degree in library and/or Information Science or related field.
• Experience at a large research-intensive university or equivalent.
• Experience with scholarly databases, metadata, and related platforms.
• Experience designing and maintaining complex projects or services.
• Knowledge of current trends in academic research and scholarship.

Responsibilities

• Provide consultations and services documenting, collecting, and analyzing research activity data.
• Deliver qualitative and quantitative evidence for strategic decision making.
• Educate on research analytics, funding opportunities, and tools.
• Serve as liaison to a program, department, or institute.
• Support bibliometrics, network visualization, and emerging data applications.

Skills

Scholarly databases

Project management

Research trends

Python/R

Data analytics

Education

MLS/MLIS or PhD

Tools

Scival

InCites

Academic Analytics

Job description

Virginia Tech seeks a Science & Technology Research Intelligence Analyst to join the Libraries' Research Impact & Intelligence team. You will document, analyze research activity data, and provide qualitative and quantitative evidence to inform strategic decisions, while educating on research analytics and funding opportunities.

You will act as liaison to a program or institute, support bibliometrics and data science, and collaborate across the Libraries and University to enhance scholars’