The Chancellor's Office of Data Analytics (CODA) team within the Office of Academic Planning and Budget (APB) aims to provide accurate data, reporting, and analyses that enable evidence-based decision-making for both administrative and academic units. APB serves as the primary source of official student data reported from various systems across the University, conducts objective research and analysis for decision makers, leverages an understanding of advanced analytical methods to improve understanding of institutional and program performance, builds data collections, facilitates access to institutional data, and advocates for data quality and integrity.
Reporting directly to the Executive Director of Data Analytics, the incumbent will use their aptitude for working with data to support the institutional research and advanced analytics conducted within Academic Planning and Budget and other units requesting data driven support. By possessing a knowledge of data extraction and manipulation from database sources along with demonstrated work experience applying analytics in a higher education or business environment, the incumbent will be able to serve as an analyst for current and historical data on students, staff, departmental workload, retention and graduation, and execute strategic, innovative data driven analyses that provide valuable insight for the university. As the looked to department for fulfilling campus wide and external requests for data and information, the incumbent will also work with other members of the team in gathering, analyzing, and reporting data to support university decision making, as well as preparing common institutional research reports and obligatory reporting requirements for rankings, federal and state agencies. Through a demonstrated proficiency in both SQL and Tableau the incumbent will also be expected to support the development of dashboards, data visualizations, and automated reports in order to create a stronger self-service functionality for our clients. The incumbent will also need a strong consultative skillset, able to develop productive professional relationships with other campus units, seeking to understand their current set of processes and needs, and use this knowledge to proactively identify opportunities for collaboration, automation, advanced analytics, and project development.
Percentage of Time:
100%
Shift Start:
8:00 am
Shift End:
5:00 pm
Qualifications for Position
17
Records
Qualifications
Required/Preferred
Experience with higher education data, including student information, faculty workload analysis, and familiarity with higher education issues, trends, and research literature on topics relevant to institutional research.
Preferred
Two or more years in an institutional research, business intelligence, or enrollment management office.
Preferred
Proficiency extracting, analyzing and reporting data from business intelligence systems, and from external data sources at the state or national levels, in response to standard and ad hoc institutional research requests.
Required
Demonstrated proficiency in SQL and working with relational databases
Required
Advanced knowledge of data visualization (preferably via Tableau) to design, enhance, and develop aesthetically pleasing visualizations, including but not limited to, interactive dashboards, scorecards and reports
Required
Experience conducting research on student persistence, equity-based analysis and measuring the impact of student success initiatives.
Preferred
Experience responding to and submitting institutional data to publication surveys (e.g. U.S. News, College Board, etc.), accountability surveys (WASC, IPEDS), and other organizations as needed (e.g. AAUDE).
Preferred
Ability to think strategically, anticipate the needs of various departments, and provide research and analytics to support those needs
Required
Skilled in setting priorities which accurately reflect the relative importance of job responsibilities and demonstrated ability to work both independently and in a team-oriented environment and follow through on assignments with minimal direction. Ability to work productively and to organize multiple tasks in situations with conflicting demands and deadlines.
Required
Skills to communicate information clearly, orally and in writing to a wide variety of people individually and in groups.
Required
Advanced Excel, PowerPoint and presentation skills
Required
A passion for analyzing large data sets and continually seeking better ways of doing things as it relates to automation and coding practices
Required
Strong understanding of research methods and analytics
Required
Demonstrated experience using statistical software (Python/R) for data mining, visualization, or analysis purposes
Preferred
Bachelor's degree or equivalent combination of education and experience
Required
Experience with strategic planning, continuous process improvement and related tools/technologies
Preferred
Experience working with varied stakeholders to understand their business needs and translate these into technical requirements or opportunities for better training or service development
Preferred
Additional Posting Information
Bargaining Unit:
99-Policy Covered
Application Deadline:
03-19-2024
External Posting Date: