Assessment Librarian, Harvard Librarian, Cambridge, MA
Posted April 6, 2023
Description:
In partnership with Harvard’s Administrative Fellowship Program and the ACRL Diversity Alliance, the Harvard Library Diversity Residency Program attracts talented librarians, and in particular, members of historically underrepresented groups, to provide meaningful professional working experience and to cultivate the professional goals and interests of the resident. Additionally, through a combination of events sponsored by the Harvard Library, the Administrative Fellowship Program, and the ACRL Diversity Alliance, Residents have the opportunity to work in an academic environment complemented by career development experiences.
This is a two-year residency position.
The Assessment Librarian supports data management, analysis, and reporting needs across the Harvard Library and the delivery of timely, appropriate, and high-quality data to members of the Harvard Library community. This role also supports the development of an assessment community and a culture of assessment. Reporting to the Director of Planning and Assessment, this position also contributes to work in the Office of the Chief of Staff.
Qualifications:
Basic
- MLS or MIS from a program accredited by the American Library Association and/or a related master’s degree such as data science or data analytics.
- Demonstrated experience with assessment and/or data analysis.
- Advanced Excel skills.
- The fellowship is for early career professionals with a minimum of one year of professional work experience (Includes volunteer work and internships).
Preferred
- Demonstrated committment to Equity, Diversity, Inclusion, Belonging, and Antiracism.
- Strong organizational skills and attention to detail.
- Demonstrates strong analytical and problem-solving skills.
- Demonstrates initiative and ability to work collaboratively as a team member and independently.
- Ability to work with large, complex data sets and managing data quality both for statistical analysis and ongoing data management preferred.
- Basic understanding of statistical software such as SAS, STATA, SPSS or R preferred.
- Basic understanding of Tableau or similar data visualization tool preferred.
- Basic understanding of Python or SQL preferred.
- Ability to communicate effectively; demonstrates adaptability and flexibility.
- Ability to prioritize effectively to coordinate multiple projects simultaneously and meet project deadlines.
- Brings a growth mindset and curiosity to learning.