Data Visualization Librarian

Please see Special Instructions for more details.

Applicants must include in their online resume the following information:
1) Employment history: name of company, period employed (from month/year to month/year), job title, summary of job duties and
2)

Education:

school name, degree type, and major.

Posting Number S06545P

Position Title

Department:
Library

Location:

Arlington

Position Status:
Full-time

Work Schedule:

Monday – Friday; 8:00am – 5:00pm. This role may require non-traditional hours, including nights, weekends, and holidays, based on university needs. Travel and overnight stays may be necessary for professional development, conferences, and training. Allowed to work from home 2 days a week.

Salary is commensurate based on qualifications and relevant experience. Pay Basis:
Monthly

The Data Visualization Librarian serves as an expert consultant and partner to UTA students, faculty, and staff regarding data analysis and visualization. This librarian will be responsible for providing public-facing services focused on data visualization via the Libraries DataCAVE, course-integrated instruction, workshops, and consultations. The Data Visualization Librarian must demonstrate a commitment to justice, equity, diversity, and inclusion initiatives that grow and develop our staff, services, and outreach to our community.

• Administer and maintain libraries and collections of information including books, periodicals, recordings, films, and databases for students, faculty and staff.
• Acquire, catalog and circulate library materials and user services such as locating and organizing information, data visualization, providing instruction on how to access information and setting up and operating the library’s media equipment.
• Serve as consultant and partner to UTA students, faculty and staff regarding data analysis and visualization.
• Conduct qualitative and quantitative analysis using NVivo, SPSS, and advanced Excel. Design data collection instruments.
• Collate, aggregate, and clean library and collections data using Python.
• Analyze quantitative and qualitative data including methodologies such as multiple regression, thematic analysis and text mining.
• Transcribe and code qualitative data using software packages such as NVivo for use in the library.
• Provide public-facing services focused on data visualization via the library’s Data Cove, course-integrated instruction, workshops, and consultations.
• Partner with faculty to create and execute course-integrated instruction with an emphasis on experiential learning pedagogy that teaches data literacy skills relevant to data analysis and visualization.
• Consult, outreach events and workshops that engage and support the UTA Community with data visualization processes and technologies.
• Support the Library’s initiatives related to Open Data.

• Master’s degree in Information Science, Information Studies or Library Science.
• UTA will accept 6 months experience in either carrying out the duties set forth in the job offered or 6 months experience as a Data Analyst or Data Analyst Intern at an institution of higher education engaged in conducting qualitative and quantitative analysis using NVivo, SPSS, and advanced Excel; designing data collection instruments; collating, aggregating, and cleaning data using Python; analyzing both quantitative and qualitative data using methodologies such as multiple regression, thematic analysis and text mining;
  
  and transcribing and coding qualitative data using software packages such as NVivo.

• Two (2) years of experience in the academic research process.
• One (1) year of teaching experience in an academic environment.
• Proficiency with quantitative and qualitative analysis using software and/or programming languages.
• Experience with Adobe Illustrator, InDesign, and Photoshop.

• Knowledge of the trends currently impacting libraries, data practices, and the research cycle.
• Demonstrated experience working in and fostering a diverse faculty, staff, and student environment or commitment to do so as member of the UTA community.
• Ex…