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Über
Reporting directly to the Director of Institutional Research, the Data Analyst is responsible for the collection, verification, and analysis of institutional data to support university-wide decision-making. This role focuses on transforming raw data from various campus systems into actionable reports and interactive dashboards. The Data Analyst plays a critical role in federal and state compliance (IPEDS), internal retention tracking, and supporting the University with data-driven insights into student success and faculty impact.
This position is 100% grant funded for a 3-year period.
Essential Functions: • Leads the collection, analysis, and communication of institutional data to support informed decision-making, strategic planning, and institutional self-assessment. • Assists the Director in preparing accurate and timely data sets for mandatory external reporting, including IPEDS, HLC, and the Missouri Department of Higher Education & Workforce Development (MDHEWD). • Supports the design and maintenance of interactive data visualizations and executive dashboards (Power-BI) to monitor Key Performance Indicators (KPIs). • Conducts regular audits of institutional databases to ensure data "cleanliness" and consistency across different departmental reports. • Responds to internal requests for specialized data sets from University stakeholders. • Collaborates on University projects to analyze the effectiveness of specific interventions and high-impact practices.
Minimum Education and Experience: • Bachelor's Degree in Mathematics, Statistics, Computer Science, Data Science, or a Social Science field with a heavy quantitative emphasis. • 2-3 years of experience in data analysis, preferably in a Higher Education or public sector environment. • Experience in preparing various accreditation reports with regional and national agencies. • Demonstrated experience using SQL for data retrieval and at least one major data visualization tool (Power-BI preferred).
Knowledge, Skills, and Abilities: • Advanced proficiency in Microsoft Excel (pivot tables, VLOOKUPs, macros) and working knowledge of statistical software (e.g., SPSS, R, or Python). • Ability to translate technical data findings into clear, written summaries for non-technical stakeholders. • Knowledge of relational databases and experience reporting from large databases (e.g. basic SQL querying). • High level of accuracy in data entry and reporting, recognizing that this data informs university funding and accreditation. • Advanced proficiency in Microsoft Office Suite (e.g. Word, Excel, PowerPoint, Access, and Outlook). • Ability to work collaboratively and effectively with a wide range of constituencies in a diverse community. • Excellent written and verbal skills, including writing and editing research reports, creating charts and graphs with the ability to communicate effectively orally. • Deep understanding of student privacy laws and best practices for handling sensitive institutional data. • Ability to manage multiple reporting deadlines simultaneously while maintaining high standards of data validity.
Supervisory Responsibility: • No
Physical Requirements: • Must be able to exert up to 10 pounds of force occasionally, and/or a negligible amount of force constantly to lift, carry, push, and pull or otherwise move objects, including the human body. • Light work usually requires walking or standing to a signification degree.
Working Conditions and Environment: • Work is routinely performed in a typical interior/office environment. • Very limited or no exposure to physical risk.
EOE Statement
Harris-Stowe State University is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity or expression, national origin, genetic information, disability, or protected veteran status.
Sprachkenntnisse
- English
Hinweis für Nutzer
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