Senior Data Analyst

Job Summary

Provides senior level data analysis, reporting, and decision support for a large public university by integrating complex institutional datasets and translating results into actionable insights that inform executive leadership, academic planning, compliance, and policy development.

• Advanced Data Analysis & Modeling – Conduct complex quantitative analyses and develop models, forecasts, and trend analyses using large institutional datasets related to students, employees, finances, and academic programs. Interpret findings to support strategic planning and university decision-making in collaboration with the Office of Data, Analytics, and Institutional Research.
• Institutional Reporting & Visualization – Design, develop, and maintain dashboards, standard reports, and ad hoc analyses using enterprise reporting and visualization platforms (e.g., Power BI). Ensure accuracy and consistency of official institutional metrics.
• Data Integration & Quality Assurance – Extract, transform, validate, and integrate data from multiple university systems. Apply institutional data definitions, governance standards, and quality controls to ensure reliable analytical outputs.
• Executive & Stakeholder Decision Support & Machine Learning – Prepare executive-level briefings, written summaries, and presentations. Consult with academic and administrative leaders to define analytical requirements and interpret results. Serve on relevant committees and data governance bodies.
• Documentation, Compliance, Data Ethics & Best Practices – Develop and maintain documentation of methodologies, business rules, and data sources. Support state, federal, accreditation, and benchmarking reporting requirements. Ensure compliance with data privacy regulations, including FERPA.

• Bachelor’s degree in data analytics, computer science, statistics, mathematics, engineering, economics, information systems, qualitative social sciences, or a related field.
• Five (5) years of progressively responsible experience in data analysis, institutional research, or decision support.
• Experience working with large, complex data sets, relational databases, and navigating data integrity issues.
• Demonstrated ability to communicate analytical findings to non-technical audiences.
• Proficiency with SQL and at least one analytical language or tool (e.g., Python, R, SAS) and experience with logical regression and other predictive modeling techniques, including model validation and interpretation for non-technical audiences.
• Demonstrated ability to manage competing deadlines across multiple projects while producing high-quality results.
• Ability to collaborate with cross-functional teams and maintain strong working relationships.

• Master’s degree in a related field.
• Experience working in a public university or higher‑education system.
• Experience presenting findings to senior leadership and translating statistical uncertainty into practical decision guidance.
• Experience with enterprise reporting or business intelligence tools (e.g., Power BI, Tableau).
• Experience with dashboard development and other forms of data visualization.

Texas State University is committed to a policy of non‑discrimination and equal opportunity for all persons regardless of race, sex, color, religion, national origin or ancestry, age, marital status, disability, veteran status, or any other basis protected by federal or state law in employment, educational programs, and activities and admissions.

Employment with Texas State University is contingent upon the outcome of record checks and verifications including, but not limited to, criminal history, driving records, education records, employment verifications, reference checks, and employment eligibility verifications.

In accordance with federal law, all new employees must complete the Form I‑9 and provide acceptable documentation verifying their identity and authorization to work in the United States. Texas State University participates in E‑Verify, and employment is contingent upon the successful verification of work authorization. Employees are required to maintain valid work authorization to satisfy the conditions of Form I‑9 at all times during their employment and the university makes no implicit or explicit promises to financially support visa or permanent residency applications.