Job DescriptionUnder the general direction of the Assistant Provost, the Data Analyst will support institutional research and strategic decision making by developing and improving data-driven analyses and analytic reporting. The incumbent will work with a variety of data types: student, faculty/staff, finance, financial aid to support university operational functions and reporting requirements for federal and state agencies, rankings, and surveys. The incumbent will assist in the design, development, and maintenance of databases, dashboards, data visualizations, and automated reports. The successful candidate will need a strong consultative skillset and be able to develop professional relationships with other campus units in order to understand processes and needs, and use this knowledge to identify opportunities for collaboration and project development.Required Qualifications• Master's degree in a quantitative discipline, such as Data Analytics, Statistics, Information Systems, or a related area.• General knowledge of data pipelines, dashboard design, development, and maintenance.• Proven ability to apply advanced descriptive, inferential, exploratory and predictive statistical techniques, including data mining and machine learning approaches, to support decision making and extract data narratives.• Proficiency in programming for accessing, integrating, & managing data and analytic reporting.• Excellent communication skills and ability to work with data and people from multiple sources/departments.Preferred Qualifications• One to two years' experience in data analytics and decision support in higher education setting, with specific knowledge of student related data, reporting processes, and data management. Including familiarity federal, state and rankings reporting.• Experience with SAS Viya/Visual Analytics/Visual Statistics, including administrative tasks.• Proficiency in SAS programming for data management, statistical analysis, and analytic reporting.• Familiarity with basic webpage development, design and management.• Understanding of data modeling, data warehousing, and data lake structures in a cloud-based environment.Pay Band{lPayScaleID}Appointment TypeRegularSalary Information60,000 - 70,000Review DateMarch 4, 2024Additional InformationThe successful candidate will be required to have a criminal conviction check.About Virginia TechDedicated to its motto,Ut Prosim(That I May Serve), Virginia Tech pushes the boundaries of knowledge by taking a hands-on, transdisciplinary approach to preparing scholars to be leaders and problem-solvers. A comprehensive land-grant institution that enhances the quality of life in Virginia and throughout the world, Virginia Tech is an inclusive communitydedicated to knowledge, discovery, and creativity. The university offers more than 280 majors to a diverse enrollment of more than 36,000 undergraduate, graduate, and professional students in eight undergraduate colleges, a school of medicine, a veterinary medicinecollege, Graduate School , andHonors College . The university has a significant presence across Virginia, including theInnovation Campus in Northern Virginia; the Health Sciences and Technology Campus in Roanoke; sites in Newport News and Richmond; and numerousExtension offices andresearch centers . A leading global research institution, Virginia Tech conducts more than $500 million in research annually.Virginia Tech does not discriminate against employees, students, or applicants on the basis of age, color, disability, sex (including pregnancy), gender, gender identity, gender expression, genetic information, national origin, political affiliation, race, religion, sexual orientation, or military status, or otherwise discriminate against employees or applicants who inquire about, discuss, or disclose their compensation or the compensation of other employees or applicants, or on any other basis protected by law.If you are an individual with a disability and desire an accommodation, please contact(Annabelle Fuselier)at(****** )during regular business hours at least 10 business days prior to the event.
