Data Analyst, Information Technology

The Data Analyst will help southeastern University make data-informed decisions by collecting, analyzing, and interpreting information from multiple systems, then delivering actionable insights to campus stakeholders. The role supports departmental reporting and scalable data solutions, including AI-assisted analytics and visualization.

• Analyze data from enterprise systems such as SIS, CRM, LMS, and financial systems to identify trends, patterns, and opportunities
• Translate complex datasets into clear, actionable insights for technical and non-technical stakeholders
• Support institutional reporting across enrollment, retention, financial, and operational metrics
• Conduct ad hoc analyses to support strategic initiatives and executive decision-making
• Design and develop dashboards and reports using tools such as Power BI, Tableau, Looker, or similar platforms
• Create intuitive, user-friendly visualizations that promote self-service data use across departments
• Maintain consistency and accuracy in reporting definitions and metric calculations
• Use AI-powered tools (including generative AI and automated analytics platforms) to accelerate data exploration, pattern recognition, and insight generation
• Apply AI for data preparation, anomaly detection, forecasting, and natural language querying of datasets
• Assist in evaluating and implementing AI tools that enhance analytics capabilities across the institution
• Support responsible and ethical use of AI in data analysis and reporting
• Coordinate with data engineers and IT teams to access and integrate data from multiple sources
• Ensure data quality, integrity, and consistency across reporting systems
• Support centralized data warehouse or data platform development
• Help define and maintain data standards and documentation
• Partner with campus stakeholders to understand data needs and deliver meaningful solutions
• Provide training and support for end users accessing and interpreting data
• Contribute to a university culture of data literacy and data-informed decision-making

• Experience with data visualization tools such as Power BI, Tableau, or Looker
• Strong proficiency in SQL and/or data querying languages
• Experience working with large datasets and multiple data sources
• Strong analytical, problem-solving, and communication skills
• Analytical thinking and attention to detail
• Ability to translate data into meaningful stories
• Curiosity and continuous learning mindset
• Strong collaboration and communication skills
• Ethical handling of data and AI technologies

Required: Bachelor’s degree in Data Analytics, Information Systems, Statistics, Business, or a related field.

Preferred: Master’s in computer science or related discipline.

• 2–5 years of experience in data analysis, reporting, or business intelligence
• Experience in higher education or similar complex organizational environments

Power BI, Tableau, Looker, SQL, SIS, CRM, LMS, generative AI, automated analytics platforms, AI tools, ChatGPT, Copilot, AutoML tools, Python, R, ETL, data warehouse, Jenzabar, Microsoft Access, Excel, Java, Scala, SPSS, ML.

Location: Lakeland, FL (hybrid). Main campus hybrid with some remote, some main campus, and/or other physical locations.

Schedule: Monday through Friday, 8 hours per day.

• Analytical thinking and attention to detail
• Ability to translate data into meaningful stories
• Curiosity and continuous learning mindset
• Strong collaboration and communication skills
• Ethical handling of data and AI technologies

• Familiarity with higher education datasets (for example, IPEDS) and educational data compliance standards
• Experience collaborating effectively with academic and administrative departments
• Knowledge of FERPA and other privacy regulations for educational data
• Experience with data governance practices in an educational setting
• Familiarity with educational assessment frameworks and accreditation reporting standards
• Agile methodology proficiency
• Experience with Python, Microsoft Access, Excel, and additional languages such as Java or Scala
• Knowledge of statistical…