Institutional Data Analyst

About Us

Augusta University is Georgia's innovation center for education and health care, training the next generation of innovators, leaders, and healthcare providers in classrooms and clinics on four campuses in Augusta and locations across the state. More than 12,000 students choose Augusta for educational opportunities at the center of Georgia's cybersecurity hub and experiential learning that blends arts and application, humanities, and the health sciences. Augusta is home to Georgia's only public academic health center, where groundbreaking research is creating a healthier, more prosperous Georgia, and world-class clinicians are bringing the medicine of tomorrow to patient care today. Our mission and values can be found here. The University System of Georgia is comprised of our 26 institutions of higher education and learning as well as the System Office. Our USG Statement of Core Values are Integrity, Excellence, Accountability, and Respect. These values serve as the foundation for all that we do as an organization, and each USG community member is responsible for demonstrating and upholding these standards.

Job Summary

The Institutional Data Analyst serves as a vital partner in delivering institutional data analysis to support data-informed decision-making, planning, and organizational effectiveness. Reporting directly to the Director of Institutional Analytics, this role acts as a key cross-functional liaison between Institutional Effectiveness (IE), Information Technology (ITS), and the areas that govern the institution's core data domains: Academic Affairs and Colleges, Enrollment and Student Affairs, Finance and Administration, Philanthropy and Alumni Engagement, and Research Administration. In this role, the analyst is responsible for collecting and analyzing internal and external data to identify trends and key insights aligned with strategic goals. They develop, maintain, and improve critical dashboards and reports tailored for senior leadership. Beyond technical execution, a core responsibility involves promoting data literacy across the institution by training stakeholders and presenting actionable insights and recommendations at key leadership meetings. Additionally, the analyst collaborates closely with ITS and individual units to ensure rigorous data accuracy, compliance with governance standards, and overall process efficiency.

Responsibilities

• Data Collection and Management: Gather and support the governance of data from various internal sources, such as campaign, workforce, research administration, facilities, finance, course and learning management, and student information systems, to analyze and track strategic and organizational performance metrics. Collaborate with Data Trustee and Stewards to ensure analytics tools are compliant with institutional data governance regarding user access within business intelligence environments. Partner with Data Governance Coordinator in IE to validate and document data deliverables (e.g., dashboards) within Data Cookbook, ensuring data accuracy and compliance with AU's data governance framework. Ensure that analytics tools follow institutional data design standards and are included and up-to-date on AU's Analytics Roadmap. Collaborate with IT to improve data integrity and availability within business intelligence solutions sourced from data warehousing.
• Data Analysis: Apply statistical and analytical techniques to identify trends, patterns, and key factors related to the strategic and organizational goals of the institution. Analyze data against research questions/hypotheses and use critical-thinking skills to develop the most appropriate methodologies and solutions. Conduct exploratory analyses on data to find actionable insights using appropriate methodologies.
• Reporting and Visualization: Create reports, dashboards, and visualizations to present data findings in a clear and concise manner, enabling stakeholders to make data-driven decisions. Develop dashboards, queries, and data analyses for the institution to improve strategic and organizational performance. Analyze institutional and external data to develop deliverables for senior leadership, allowing them to track strategic and organizational performance. Updates data deliverables on a regular schedule. Responds to assigned ad-hoc requests via the Institutional Data Request process.
• Data Interpretation and Actionable Insights: Translate data into actionable insights that inform institutional committees, task forces, and policies. Analyze, interpret, and summarize data that deliver actionable insights and empower decision-makers to achieve goals outlined in the institution's strategic plan.
• Collaboration and Communication: Work with faculty, staff, and administrators to understand their data needs and communicate findings effectively. Promote data literacy by training units across the institution and their immediate stakeholders, such as Department Chairs, to interpret data deliverables and provide guidance on new and updated dashboards, analyses, and queries to ensure they can effectively use the information. Promote data literacy by communicating actionable recommendations and key insights from senior leadership data deliverables at cyclical leadership meetings such as President's Cabinet, Provost's Cabinet, and the Deans Council. Communicate data availability and updates from respective units to AU Data Community to promote awareness and support institutional goals. Summarize and communicate results effectively in a variety of formats including executive summaries, reports, dashboards, and data visualizations.
• Process Improvement: Identify areas for improvement in data collection, analysis, and reporting processes to enhance efficiency and accuracy. Collaborate with the respective unit's SIS Functional Analyst to promote data accuracy, user access, and coordinate data collection needed for data deliverables (e.g., dashboards, analyses, reports, slide decks).

Required Qualifications

• Master's degree from an accredited college or university in a related field with at least three years of professional experience in analysis, business intelligence, institutional research, or a related analytics field OR
• Bachelor's degree from an accredited college or university in a related field with five years of experience.

Preferred Qualifications

• Experience in a higher education setting
• Advanced analytics experience using predictive modeling and sentiment analysis
• Experience in working with statistical and survey software
• Project management experience