The Office of Information Technology (OIT) encourages applications for an Academic Technology Data Analyst! The Data Analyst provides data insights and analytics to help the Academic Technology team make data-driven decisions related to improving day-to-day operations, meeting business needs and strategic objectives, and enhancing user experience. The role involves working with data generated from various academic technology tools, including learning management systems, lecture capture, and assessment applications, as well as data from customer service systems and other forms of customer feedback. This position will collaborate with teams and individuals who work on data efforts within and outside of OIT, and will contribute to data integration efforts on campus.
The University of Colorado Boulder is committed to building a culturally diverse community of faculty, staff, and students dedicated to contributing to an inclusive campus environment. We are an Equal Opportunity employer, including veterans and individuals with disabilities.
Who We Are
Office Information Technology will be valued by campus as a strategic, inclusive and innovative partner in advancing learning and discovery in order to enable CU Boulder to be a premier public university.
Office Information Technology enables campus priorities by providing high-value IT services and solutions.
Trust, as a foundation for how we engage with one another and with campus partners, along with
Avid curiosity in how to better support the campus and our stakeholder’s while
Fostering empowerment and authentic engagement among ourselves and
Celebrating inclusivity that promotes a sense of belonging while acknowledging that each person is unique and valued.
Office Information Technology will advance learning and discovery by delivering high-value reliable IT services and solutions that:
Provide a fluid and adaptable academic and student experience
Enable research competitiveness and
Deliver core infrastructure and enterprise IT services for business effectiveness.
Based on our departmental goals and our commitment to diversity and inclusive excellence, CIO Information Technology particularly welcomes applications from candidates whose knowledge, skills, and abilities, and desire to contribute to an inclusive campus environment, will help us achieve our vision of a diverse and inclusive community.
What Your Key Responsibilities Will Be
Data Analysis and Reporting:
Perform data analysis of academic technology application usage, using data from various sources. Extract and aggregate data from AT services into reports, dashboards, and visualizations.
Identify trends, patterns, and insights in academic technology data and assist AT team members, customers, and leadership with data-driven decision making.
Maintain familiarity with data available within AT tools, OIT and campus systems.
Collaborate with AT Service Managers and the Associate Director of Academic Technology to develop supervising or tracking and reporting service metrics.
Use statistical modeling techniques to identify patterns, trends, and insights in academic technology and student success data.
Collaborate with team members to ensure congruence of reporting and to identify/rectify limitations in data sources and data delivery options. Consult and collaborate with other campus teams working on data reporting efforts involving AT services to build dashboards or other data solutions to meet internal, partner, and user needs.
Consult and collaborate with other campus teams working on data analysis and integration efforts to build dashboards or other data solutions to meet internal, partner, and user needs.
Consult on the proper use and interpretation of data, documenting nuances of data sources and keeping inventory of analyses completed. Develop tutorials and training to show users how to use data reporting tools developed.
Academic Technology Survey Analysis:
The Data Analyst is responsible for analyzing, visualizing, and reporting results of the campus-wide Academic Technology Survey, administered every other year. The data analyst will also collaborate with the Program Manager for Academic Technology Initiatives, Consulting, and Training to help design the Academic Technology Survey for effective analysis.
Support SaaS Performance Monitoring System:
This position supports SilkPerformer or another monitoring system to supervise availability of several of the 15 SaaS applications managed by the Academic Technology team. This will include maintenance and configuration of supervising scripts.
Professional development to deepen knowledge in data analysis, acquire new technical skills, and keep up-to-date on standard methodologies, processes, applications and platforms.
The position will collaborate with Data Services team in OIT, the Office of Data Analytics, and other partners on data retrieval, data analysis, data integrations, and other data related efforts.
The Data Analyst will also support AT team members in identifying technical solutions and solving sophisticated technical problems. This position can be expected to serve as solution architect, quality assurance, and technical business analyst.
What You Should Know
This position is in a hybrid work situation, This position may infrequently be expected to come on-site, 1 - 2 times per year. Applicants from outside of Colorado are encouraged to apply.
What We Can Offer
The salary range is $75,100 - $82,240 per year.
The University of Colorado offers excellent benefits, including medical, dental, retirement, paid time off, tuition benefit and ECO Pass. The University of Colorado Boulder is one of the largest employers in Boulder County and offers an inspiring higher education environment. Learn more about the University of Colorado Boulder.
To apply, please submit the following materials online:
A current resume.
A cover letter that specifically tells us how your background and experience align with the requirements, qualifications, and responsibilities of the position.
Please apply by June 11, 2023 for consideration.
Note: Application materials will not be accepted via email. For consideration, please apply through CU Boulder Jobs.
A Bachelor’s degree in Data Analytics, Statistics, Computer Science, or closely a related field.
Equivalent combination of education and experience may substitute.
3 years of experience as a data analyst or comparable role which includes a combination of experience in:
Quantitative analysis and communicating findings to customers and leadership
Structured Query Language (SQL) or another scripting language to find and summarize data
Creating data-based reports, visualizations, and dashboards.
As one of 35 U.S. public research institutions belonging to the prestigious Association of American Universities (AAU)—and the only member in the Rocky Mountain region—our goal at CU Boulder is to directly affect Colorado communities through collaborative research, innovation, and entrepreneurship. Our faculty, staff, and students work with the broader community to establish outstanding connections that have lasting outcomes—both across Colorado and around the world.