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Knowledge of one programming language, such as R or Python, is required; SQL experience is preferred;
Ability to clean, debug, and analyze complex data sets that link data from a variety of sources;
Demonstrated ability using data visualization software and tools to create visualizations for presentations, reports, and the web, such as Power BI or Tableau;
Experience designing and administering surveys and analyzing both qualitative and quantitative survey data; and
Demonstrated ability to present complex ideas, techniques, and analytic findings clearly and effectively, orally and in writing.
This job will be filled as a level 2, or level 3, depending upon the successful candidate's competencies, education, and experience.
Typically requires a Bachelor's degree or higher plus two years of related experience, or an equivalent combination of education and experience for a level 2. Additional experience and/or education and competencies are required for higher level jobs.
Two or more years of experience in an academic setting analyzing and synthesizing complex data sets to produce highly readable, informative reports, and presentations is preferred.
The successful candidate must also possess excellent interpersonal, written and verbal communication skills including a customer service orientation and the ability to interact and communicate effectively with University administration, faculty, and staff.