• Bachelor’s degree in education, quantitative social sciences, computer or data science, mathematics or statistics, or related field with a strong focus on quantitative research methods and data analysis, and / or equivalent experience and/or training.
• General knowledge of data management computer applications, query tools (e.g., SQL), and relational databases in order to extract data from existing systems and restructure data in a manner that facilitates robust analysis.
• General ability to use statistical software such as SPSS, SAS, Stata, R, or equivalent, using syntax or command language to manage and transform data, produce tables and graphs, and to analyze data using basic descriptive and inferential statistical techniques.
• Experience with and understanding of data visualization and dashboarding techniques and principles, as applied through a tool 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.
• Oral communication skills with the ability to present complex findings and recommendations in a clear and concise manner.
• Presentations skills with the ability to present to large groups and through visual displays of quantitative information.
• Written communication skills, including the ability to write clear and concise reports on complex issues.
• Strong organizational skills with the ability to establish priorities, manage multiple activities, meet deadlines to complete a variety of assignments with attention to detail and a high degree of accuracy.
• Ability to work independently with minimal guidance.
• Ability to work as part of a team toward common goals, and to coordinate efforts and collaborate with a variety of individuals.
• Ability to exercise sound judgment and discretion in handling sensitive and confidential information and materials.

PREFERRED QUALIFICATIONS

• Advanced degree in education, quantitative social sciences, computer or data science, mathematics or statistics, or related field with a strong focus on quantitative research methods and data analysis.
• Familiarity with issues in higher education and with UC policies, practices and procedures.
• Familiarity with the educational literature on student retention and progress.