The University of Waterloo Library is the campus's partner in learning, research and innovation. Its two main locations and three satellite spaces act as interdisciplinary hubs, bringing together the knowledge, expertise and resources needed by our diverse campus community. The University was built for change and the Library exemplifies Waterloo’s agility as we continuously transform our approaches to creating, discovering, using, sharing and preserving information. With a commitment to open and equitable access to information, we equip researchers and students with the critical research skills to improve our world as active citizens, creative problem solvers and agile leaders. All of our work is done with a strong commitment to equity, diversity, inclusion and accessibility.

Reporting to the Head, Collection Development, the Collection Development Reporting and Assessment Analyst contributes to the overall goals of the department by analyzing library collections-related data and identifying, investigating, and collaborating on opportunities to advance operational data projects. The incumbent will be responsible for collecting and synthesizing various forms of collection-related data from different sources and presenting these in multiple formats (ie: visualizations, dashboards, reports, etc.,) accompanied by insights and recommendations to maximize the impact of collection development decisions. Providing opportunities to engage with programmer and analyst colleagues in the Digital Initiatives department and throughout the Library, the role will include both intermittent project work, as well as designing, instituting, and monitoring ongoing collection evaluation workflows.

Data Collection, Manipulation, and Presentation

• Create reports that fulfil the collection-related assessment needs of colleagues across the Library using Alma, the University’s Library Services Platform (LSP)
• Manipulate LSP data within relational databases and apply analytical or visualization approaches to meet a range of user needs
• Apply proficiency with programming languages to leverage APIs and software tools to synthesize and manipulate data
• Employ knowledge of automation processes and strategies to retrieve and update electronic resource usage statistics, including ability to ensure data integrity  
• Maintain expert, up-to-date knowledge of complex library data, work processes, operating system, Alma Analytics, and several additional software and analysis tools such as database management systems and Confluence for documentation needs

Assessment and Analysis

• Plan, develop, and implement library-wide assessment protocols and workflows, initiatives and strategies that enable continuous review, evaluation, and improvement of collection development decision making
• Employ various collections assessment tools to establish assessment workflows and criteria, to provide insights into different acquisition models and access agreements
• Analyze library data to identify trends, issues, and opportunities
• Design and develop relational databases for collecting data, cleaning, transforming, validating, and modeling it with the purpose of drawing conclusions and make recommendations that significantly impact on the resources available to the University’s research community and the expenditure of the Library’s budget
• Contribute relevant insight and expertise to support assessment projects throughout the library
• Participate in testing and evaluating new versions of Electronic Resource Management systems and assessment tools

Collaboration on Strategic Collection Development Directions

• Communicate results of analysis which includes presenting data in charts, graphs, and tables to a wide range of stakeholders throughout the library and occasionally throughout the Ontario Council of University Libraries (OCUL) consortium
• Develop and share with colleagues both internally and consortially, expertise on best practices and workflows for data refinement, analysis, visualization, and modeling
• Collaborate with library staff to identify key data for collection review, renewals, and acquisition models, to bring together data and assessment practices relevant to understanding collection decision impacts on University and Library goals
• Maintain an awareness of current trends in acquisitions, collections, digital resource management and the evolving publishing ecosystem, including the open access movement
• Connect with and actively contribute towards professional organizations in area of expertise
• Ongoing, proactive acquisition, maintenance, and provision of leadership in the development of associated skills and knowledge in areas of expected expertise

Departmental Coordination and Administration

• Supervise and lead temporary casual, student workers, or co-op student staff, making decisions on the hiring of his/her direct report(s), in consultation with the Head, Collection Development
• Coach, train, and develop employee(s) to assure growth and development of that (those) individual(s)
• Manage performance and behavior through both formal (performance appraisal) and informal methods such as regular feedback, coaching and one-on-one meetings
• Develop, recommend, and implement improvements to departmental workflows, including documentation of workflows and training to Library staff
• Participate in departmental reviews and lead working groups, as appropriate
• Participate in library-wide projects and committees, as required by areas of responsibility, expertise, and interest
• Maintain an up-to-date knowledge of the Library's business intelligence tool[s]
• Support quality assurance work and application testing

• Undergraduate degree, preferably with a focus on data analysis and assessment, or equivalent in education/experience
• Experience and fluency with data collection, extraction, and manipulation, and the application of tools, processes, and reporting for the purpose of analysis
• Demonstrated experience using software relevant to collections assessment, including experience with relational databases and software such as database management systems
• Experience applying analytical or visualization approaches to meet a range of user needs and expertise
• Programming experience, preferably in support of library-related systems, and in one or more of: JavaScript, Python, R or other statistical analysis tools or programming languages
• Proven ability to take initiative, lead, and manage multiple projects, priorities, deadlines, and develop/implement process improvements
• Outstanding interpersonal skills and good judgement, with a demonstrated ability to maintain respectful, and constructive working relationships across multiple levels and diverse stakeholders
• Awareness of electronic information resources landscape and associated issues
• Demonstrated experience and aptitude for investigating and troubleshooting technical and process related issues
• Proven ability to work independently, professionally, and collaboratively to manage and mitigate complex problems
• Proven ability to clearly and positively communicate complex technical concepts as well as reporting on analysis
• Demonstrated mentoring abilities
• Experience with office software: MS Word (Intermediate); Excel (Advanced); PowerPoint (Beginner), Library Services Platform (Intermediate), SharePoint (Intermediate)

The University of Waterloo acknowledges that much of our work takes place on the traditional territory of the Neutral, Anishinaabeg and Haudenosaunee peoples. Our main campus is situated on the Haldimand Tract, the land granted to the Six Nations that includes six miles on each side of the Grand River. Our active work toward reconciliation takes place across our campuses through research, learning, teaching, and community building, and is co-ordinated within our Office of Indigenous Relations.

The University values the diverse and intersectional identities of its students, faculty, and staff. The University regards equity and diversity as an integral part of academic excellence and is committed to accessibility for all employees. The University of Waterloo seeks applicants who embrace our values of equity, anti-racism and inclusion.  As such, we encourage applications from candidates who have been historically disadvantaged and marginalized, including applicants who identify as First Nations, Métis and/or Inuk (Inuit), Black, racialized, a person with a disability, women and/or 2SLGBTQ+.

All qualified candidates are encouraged to apply; however, Canadians and permanent residents will be given priority.

The University of Waterloo is committed to accessibility for persons with disabilities. If you have any application, interview, or workplace accommodation requests, please contact Human Resources at hrhelp@uwaterloo.ca  or 519-888-4567, ext. 45935.