Apply on Employer Site

University of California, Santa Cruz · 4 months ago

Sr. Institutional Research Analyst

Santa Cruz, CA

Full-time

Hybrid

Senior Level

$110K/yr - $120K/yr

The University of California Santa Cruz is a unique public university that merges the experience of a small liberal arts college with the rigor of a major research institution. They are seeking a Senior Institutional Research Analyst to aggregate, analyze, and interpret student and administrative data, supporting decision-making and strategic planning across campus through sophisticated analyses and the development of information resources.

ArtEducationUniversities

Responsibilities

Research, gather, analyze, and summarize data and information across a variety of domains, especially in the areas of enrollments, student success, equity outcomes, and instructional activity

Develop and revise queries and reports using campus business intelligence tools (i.e., InfoView, Tableau, SPSS, Excel, and others) to meet information needs and to address ongoing and ad hoc reporting requirements, using agreed-upon standard definitions and methodologies

Design interactive dashboards and infographics for both external and internal audiences that are responsive to the information needs of campus leadership and other campus stakeholders

Produce historical campus-level and program-specific reports on a quarterly or annual production schedule; maintain information on the unit's website; and provide data and information for public information requests, external surveys, and for mandatory compliance reporting

Work collaboratively and in consultation with other campus units to design and implement evaluations of policies, programs, and initiatives using appropriate research methods and statistical techniques

Perform data analysis and predictive modeling using a variety of statistical techniques for admissions forecasting, enrollment projections, and predicting curricular demand and graduation outcomes

Provide ad hoc reporting and analytic support to principal officers, academic senate committees, and other decision-making bodies

Gather, analyze, and present data and information in support of key strategic planning initiatives, including identifying sources and appropriate comparative and benchmarking data

Develop dashboards for academic planning that display key metrics for campus leadership and other stakeholders

Produce written and oral reports and presentations with conclusions, implications, and recommendations

Working closely with the Data Management unit, participate in the development of institutional databases by identifying data needs, requirements, specifications and sources

Transform, test, and deploy raw data from campus data warehouse using one or more industry standard program languages (e.g., SQL), to construct, clean, and standardize data sets for use

Maintain data documentation and definitions

Identify, investigate, and work to resolve data quality issues to ensure accurate reporting of information

Assure the validity and quality of campus data submissions to external agencies and systems, including the UC Office of the President

Pursue opportunities to enhance expertise in areas of data science, institutional research, and higher education to keep skills current

Develop expertise in external and public data sources (e.g., IPEDS, NSC, AAUDE) related to higher education

Serve on campus-wide committees and workgroups as appropriate; interact with peers across the UC system and at the UC Office of the President

Qualification

Predictive modelingData analysisStatistical softwareData visualizationSQLRPythonTableauInterpersonal skillsOral communicationPresentation skillsWritten communicationOrganizational skillsTeam collaboration

Required

Bachelor's degree in education research, social sciences, data science, statistics, or related field with a strong focus on quantitative research methods and data analysis, or equivalent experience and/or training

Experience with predictive modeling using machine learning techniques to create classification and other statistical models

Demonstrated proficiency with data management computer applications, query tools, and relational databases, in order to extract data from existing systems, join large datasets, manipulate data (e.g., import data, transform and derive variables), and aggregate data using SQL, R, Python or other coding languages to create datasets that facilitate robust reporting and analysis

Demonstrated proficiency in the use of statistical software such as SPSS, SAS, Stata, or R, or equivalent, to produce tables and graphs, using syntax or command language to manage and transform data, produce tables and graphs, and to analyze data using a variety of statistical techniques including multivariate analysis

Thorough knowledge of data visualization and dashboarding techniques and principles, and demonstrated proficiency using tools such as Tableau, Power BI, or Looker

Excellent interpersonal skills including tact, diplomacy, and flexibility to work effectively with staff, faculty, students, and the general public

Advanced oral communication skills with the ability to present complex findings and recommendations in a clear and concise manner

Advanced presentation skills with the ability to present to large groups and through visual displays of quantitative information

Advanced written communication skills, including the ability to write clear and concise reports on complex issues

Strong organizational skills with the demonstrated ability to establish priorities, manage multiple activities, meet deadlines to complete a variety of assignments with attention to detail, a high degree of accuracy and to maintain accurate and detailed records

Demonstrated ability to work independently with minimal guidance

Demonstrated ability to work as part of a team toward common goals, and to coordinate efforts and collaborate with a variety of individuals

Preferred

Advanced degree in education research, social sciences, data science, statistics, or related field with a strong focus on quantitative research methods and data analysis

Knowledge of data modeling concepts, including complex data and structures

Familiarity with cloud-based data warehousing

Familiarity with issues in higher education and with UC policies, practices and procedures

Familiarity with educational literature on student retention and progress