Library Data Analyst - Collections & Development

Date Posted: 06/10/2021
Req ID: 4933
Faculty/Division: Library
Department: Collection Development Dep
Campus: St. George (Downtown Toronto)

Description:

About Us:

The University of Toronto Libraries (UTL) system is the largest academic library in Canada and is ranked sixth among peer institutions in North America. The system consists of 42 libraries located on three university campuses: St. George, Mississauga, and Scarborough. This array of college libraries, special collections, and specialized libraries and information centres supports the teaching and research requirements of over 280 graduate programs, including over 60 professional programs, and about 700 undergraduate degree programs. In addition to more than 15 million volumes in 341 languages, the library system currently provides access to millions of resources in various forms, including, for example, electronic, audio-visual, and geospatial materials. UTL also has over 31,000 linear metres of archival material. More than 150,000 new print volumes are acquired each year. The Libraries' data centre houses more than 500 servers with a storage capacity of 1.5 petabytes.

Your Opportunity:

Under the direction of the Assessment Librarian in the Collections and Development Department, the Data Analyst is responsible for providing technical support and operational oversight for the analysis and visualization of library data. The Data Analyst works with librarians and staff across the University of Toronto libraries to gather, standardize, analyze and visualize data to meet external reporting and accountability requirements and to support library initiatives and planning.

Duties and Responsibilities:

Operationalizing and Visualizing Data:

• Provides data analysis and visualization support for library assessment and reporting. Retrieves, analyses, and visualizes data to meet stakeholder and project needs. Analyzes data for trends, patterns and prepare findings for presentation to Library leadership and other stakeholders.

Data Consultations:

• Provides technical support for library staff in all aspects of quantitative and qualitative research methods and in utilizing appropriate analysis tools and methods, makes suggestions and recommendations on the design and data collection.

Data manipulation & transformation:

• Carries out or lead projects to answer operational and research questions through the identification, retrieval, manipulation and analysis of relevant data. Design and implement extract, transform, load (ETL) processes to create data pipelines and aggregate data from multiple sources. Develop and implement best practices for data integrity, workflow and systems routines that support data analysis. Transforms complex raw data into analyzable form, performing statistical analyses, provide interpretation of results, and summarize results with write-ups, tables, visualizations and other presentation tools. Independently develops methods, and processes to facilitate data ingestion into systems and statistical software.

Documentation:

• Documents data structures, decision points and methodologies used in the course of work. Maintains a current, comprehensive inventory of all sources of library data. Meticulously records decisions, transformations, and other methodological considerations to ensure replicability of analysis performed.

Other Duties:

• As required to support the data and statistical needs of students and staff.

Essential Qualifications

(Minimum)

Education:

Bachelor’s degree in Computer or Data Science or acceptable combination of education & experience.

Experience:

• Three years of related experience.
• Experience working with Tableau or equivalent data visualization tool.
• Strong working knowledge of relational databases and query structure. Experience writing scripts in R, Python, PHP and/or Java Script.
• Experience using APIs to retrieve and parse data.
• Experience coding in at least one language.
• One or more years of data modelling and database schema experience.
• Demonstrated experience using Excel and), database management tools (e.g. Access, SQL); Internet, and presentation packages (Power Point).
• Ability to work independently and in a team. Excellent analytical, organizational, and interpersonal skills.
• Effective communication skills, including the ability to clearly and concisely express complex concepts in simple terms and communicate technical information to non-technical staff.
• Demonstrated skill and experience in data manipulation, management, and analysis.
• Knowledge of project management principles and experience completing complex projects within timelines.

Assets:

• Accuracy, attention to detail and ability to break complex projects into a logical sequence of tasks.
• Familiarity with statistical principles, especially descriptive statistics.
• Knowledge, training or experience in data visualization best practices.
• Demonstrated ability in project planning and design using considerable judgment, initiative, and innovation in decision-making.
• Experience working in a higher-education setting.
• Demonstrated interest in Data Science
• Demonstrated awareness of and sensitivity to the values of inclusivity, diversity and accessibility.

Closing Date: 07/09/2021,11:59PM ET
Employee Group: CUPE 1230
Appointment Type: Budget - Continuing
Schedule:
Pay Scale Group & Hiring Zone: CUPE 1230 (2U) - Step 1: $79,090 - Step 2: $84,384 - Step 3: $89,869
Job Category: Library Services

.buttontext00b26598368a4abe a{ border: 1px solid transparent; } .buttontext00b26598368a4abe a:focus{ border: 1px dashed #25355a !important; outline: none !important; }

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

Diversity Statement
The University of Toronto is strongly committed to diversity within its community and especially welcomes applications from racialized persons / persons of colour, women, Indigenous / Aboriginal People of North America, persons with disabilities, LGBTQ2S+ persons, and others who may contribute to the further diversification of ideas.

As part of your application, you will be asked to complete a brief Diversity Survey. This survey is voluntary. Any information directly related to you is confidential and cannot be accessed by search committees or human resources staff. Results will be aggregated for institutional planning purposes. For more information, please see http://uoft.me/UP.

Accessibility Statement
The University strives to be an equitable and inclusive community, and proactively seeks to increase diversity among its community members. Our values regarding equity and diversity are linked with our unwavering commitment to excellence in the pursuit of our academic mission.

The University is committed to the principles of the Accessibility for Ontarians with Disabilities Act (AODA). As such, we strive to make our recruitment, assessment and selection processes as accessible as possible and provide accommodations as required for applicants with disabilities.

If you require any accommodations at any point during the application and hiring process, please contact uoft.careers@utoronto.ca.
All qualified candidates are encouraged to apply; however, Canadians and permanent residents will be given priority.

Job Segment: Database, Developer, Data Analyst, Library, GIS, Technology, Data, Records