Economics and Business Data Librarian

Position Summary:

Vanderbilt University and the Vanderbilt Libraries are in an exciting time of transformation. With new campuses in New York, San Francisco, and West Palm Beach, the Libraries are re-envisioning the future of library services at Vanderbilt. Through radical collaboration we seek to deepen student and faculty engagement with the libraries, equip students for life-long information proficiency, increase faculty research impact, create more opportunities for interdisciplinary experimentation, and optimize access to collections and resources, including marginalized and hidden histories and cultures.

We are seeking a team member to help us educate the next generation of leaders and enable research that solves our most pressing problems. We are looking for an innovative and user-centered problem solver ready to join our collaborative environment and transform library services. The Economics & Business Data  Librarian will be a member of a dynamic team of information service providers in the Walker Management Library, that provides research assistance and instructional programing. The Librarian will also work closely with colleagues in the Central Library to manage physical collections and support the mission of the Vanderbilt College of Arts and Science. The Economics & Business Data Librarian will be the primary liaison for the Economics Department, as well as the Undergraduate Business Minor program. This position will manage funds for Economics as well as a system-wide Data Science fund for acquisition of interdisciplinary data resources to support research and instruction across campus. Responsibilities include providing advice on data analysis software packages, statistical and qualitative data analysis, data collection, data visualization, and utilization of AI tools in the research process.

Key Functions and Expected Performance:

• Provides expert, in-depth reference, consultation, and information services to the Vanderbilt University community, in particular the Economics Department, Undergraduate Business Minor, and Owen School of Management
• Work collaboratively with a team of librarians to deliver curricular instruction, including business, financial, and data literacy topics
• Provide assistance to individual faculty and students with a specialization in Economics and Business, including finding, evaluating, licensing, downloading, and analyzing data. While this position is the Liaison Librarian to the Economics department, they will also support faculty in the Owen Graduate School of Management when they have data-intensive research or instruction needs
• Developing co-curricular workshops, partnering with stakeholders like Owen’s Career Management Center and the Library’s Digital Lab, to help students build their data skills and utilize AI tools to enhance their research and professional workflows
• Working closely with the Business Information Librarian for Collections to manage the Economics and Data Science collection funds, selecting materials and managing access points
• Reviewing license agreements for data acquisitions, ensuing terms of use and options for transferring, downloading, storing, and archiving data, as well as use within third party software platforms and AI tools, are amenable to scholarship and research
• Support faculty through process of working with Vanderbilt University IT (when required) to acquire and store datasets.
• Assisting with Management Library assessment measures for instruction and collections
• Support interdisciplinary initiatives across academic units that require expertise in data analysis
• Identifies and develops outreach and engagement events that are aligned with campus strategic initiatives
• Participate in library-wide committees, project teams, and development efforts
• Participate in professional development

Qualifications:

• Master’s Degree in Library and Information Science from an ALA accredited institution or equivalent graduate degree in a related field (business, economics, computer science, statistics, etc.)
• One to five years of related work experience
• Demonstrated knowledge of, and experience with business, economics, or social science data sources and information
• Outstanding communication skills and an ability to demonstrate effective teaching and presenting.
• Experience finding, acquiring, manipulating, and analyzing quantitative data in a research environment
• Demonstrated ability to instruct and guide others in the use of data sources and data analysis tools
• Demonstrated ability to work within and across committees and teams, and to contribute constructively to a collegial team environment.
• Commitment to Equity, Diversity, and Inclusion
• Knowledge of and/or willingness to skill-up in statistical software and coding languages (e.g. R, Python, Stata, SPSS, SAS) and providing informed instruction in specialized methods (e.g. statistical techniques, text/data mining, vibe-coding)
• Knowledge of and/or willing to learn collecting and maintaining datasets for research and teaching
• Experience in or willingness to learn collection development and management, including managing a subject materials acquisition fund
• Knowledge and/or interest in using emerging technologies to enhance the delivery of information services
• Ability to work independently and collaboratively on teams
• Ability to manage multiple priorities in a fast-paced and changing environment

Vanderbilt University is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran, or any other characteristic protected by law.

Please note, all candidates selected for an offer of employment are subject to pre-employment background checks, which may include but are not limited to, based on the role for which they have been selected: criminal history, education verification, social media review, motor vehicle records, credit history, and professional license verification.