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Collections Analysis Librarian, UMass Amherst (Amherst)

The Collection Analysis Librarian is user focused, data-driven, and engages in processes that support decision making concerning the strategic acquisition, renewal, and retention of Library collections. The librarian also engages in systems integrations, records management and project management activities. Workflows include analyzing varied sources of collections-related data, presenting findings, and aggregating and manipulating large amounts of data from a myriad of sources.

Develops a strategy for analysis of collections data housed in various resource management systems. Extracts raw data from resource management systems, imports data into data visualization software, evaluates the integrity of the data; conducts data clean up projects, and supports data-driven collection assessment activities.

Coordinates data management activities with other units, within the Library as well as Library partners, Campus partners and Library vendors; leads workshops and programs that promote the discovery, analysis and visualization of data.

Participates in migration and integration planning for next generation systems.

Supports unit’s assessment activities, to include collecting, maintaining, analyzing and reporting on data/statistics generated by discovery systems.

Collects, manages and reports usage statistics for collections resources. Develops and implements automated processes for capturing and storing standardized (COUNTER) reports for electronic resources.

Works on complex issues where analysis of situations or data requires in-depth evaluation of variable factors. Constructs and may pursue alternatives towards a solution. Exercises judgment in selecting method, techniques and evaluation criteria for obtaining results consistent with broadly defined policies and practices.

In consultation with diverse groups across the Libraries, reviews collections data to determine how well our collections represent diverse cultures, languages and perspectives.

Ability to manage projects, set and adjust priorities, work under pressure, be thorough and accurate, follow tasks through to completion, meet deadlines and work independently.

Develops strategies to clean and normalize data exported from the Library Service Platform and other systems. Troubleshoots collections data issues.

Maintains knowledge of current and emerging systems and tools used to manage bibliographic and other data for resource management, access and assessment.

Works closely with the 5 College Consortium libraries and other partners on data visualization efforts.

Other Functions

Pursues professional development activities to improve knowledge, skills, and abilities. Coordinate and/or perform special projects and perform other duties as needed.


Master’s degree in library sciences - or equivalent degree – from a program accredited by the American Library Association, or its appropriate equivalent in librarianship from another country, or have appropriate equivalent experience.
Minimum of two years’ professional experience required, preferably in an academic library.
Ability to read, analyze, and understand data in a variety of formats.
Proficiency with at least one programming or scripting language, such as Python, Java, or Ruby, and use of web services APIs.
Demonstrated knowledge of relational database design and programming, including creating relationships, queries, and reports. Experience with SQL or other query language.
Knowledge of library metadata schemas, including MARC, MODS, METS, Dublin Core, etc.
Experience with XML and related technologies.
Familiarity with library collection management standards and tools, such as reporting modules within integrated library systems, digital repositories, COUNTER, SUSHI.
Ability to manage projects, set and adjust priorities, work under pressure, be thorough and accurate, follow tasks through to completion, meet deadlines and work independently.
Ability to analyze work processes and plan for applications of technology.
Ability to handle multiple responsibilities in a changing environment.
Understanding of integration and interoperability of library systems, repositories, websites, and research platforms.
Advanced problem solving, critical thinking, and analytical skills.
Innovative thinking including the ability to utilize analytics/visualization tools in new, creative, and effective ways.

Preferred Qualifications (Knowledge, Skills, Abilities, Education, Experience, Certifications, Licensure)
Bachelor’s degree or higher in quantitative or data visualization field such as Applied Statistics, Data Science, or Business Analytics or certificate in data visualization.
Experience using quantitative and qualitative Collections Analysis applications, such as SPSS, SAS, Stata, Tableau, R or other data visualization or AI applications.
Demonstrated skill in writing programs to parse/map data from one structure to another.

Full/Part Time

Full Time





Closing Date

October 25, 2019.

How to Apply

Please submit a cover letter, resume, and contact information (phone and email) for three professional references to  by October 25, 2019 for priority consideration. Applications will be accepted until the position is filled.


2019-09-27 |  Quick link to this job