The position involves significant responsibilities in data collection, processing, and analysis, with a strong emphasis on fostering an inclusive and collaborative environment centered on student success. The successful candidate will be expected to independently gather, compile, and analyze data using various statistical methods, including inferential and multivariate analysis. This role requires proficiency in statistical software packages to manipulate data and prepare comprehensive narrative or statistical reports. Candidates must have completed a college-level course in statistics, with a minimum of six quarter hours, and transcripts must be submitted to verify this requirement. Additionally, some agencies may require experience in analyzing trends related to social, economic, or industrial factors. The role also demands a commitment to recognizing and addressing implicit bias within data and the systems that generate or utilize this data. Candidates should demonstrate experience in developing reports that analyze complex data, paying close attention to detail in narrative and effective data visualizations. Familiarity with complex data typical of a public land grant institution is essential. Advanced skills in analytics and visualization tools such as R, Python, Tableau, Power BI, and Excel are required, along with experience in database systems like SQL. A high level of attention to detail is necessary for cleaning and validating complex data sets, and excellent written and oral communication skills are crucial for interpreting customer needs and translating them into effective data solutions.