Data Analyst, Information Technology

Southeastern University; Lakeland (FL); Hybrid; USD 60,000 - 90,000; Full time

Job summary

Southeastern University seeks a Data Analyst to collect, analyze, and interpret information from multiple systems, delivering actionable insights to campus stakeholders.

You'll build dashboards with Power BI/Tableau/Looker, support university-wide reporting, and apply AI-assisted analytics for forecasting and data preparation. Hybrid Lakeland, FL campus.

Qualifications

• Bachelor’s degree in Data Analytics, Information Systems, Statistics, Business, or related field.
• 2–5 years of experience in data analysis, reporting, or business intelligence.
• Experience in higher education or similar complex organizational environments.
• Strong SQL and data visualization skills.

Responsibilities

• Analyze data from enterprise systems (SIS, CRM, LMS, financial systems) to identify trends 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.
• Design and develop dashboards and reports using Power BI, Tableau, Looker, or similar platforms.
• Create intuitive visualizations that promote self-service data use across departments.
• Ensure data quality and consistency in reporting definitions and metric calculations.

Skills

Power BI

Tableau

Looker

SQL

Data storytelling

Communication

Education

Bachelor’s degree in Data Analytics, Information Systems, Statistics, Business

Master’s degree preferred

Tools

Power BI

Tableau

Looker

Python

R

Excel

Jenzabar

Job description

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.

Key Responsibilities

• 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

Required Qualifications

• 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

Education

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

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

Experience

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

Technologies

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 and Schedule

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.

Core Competencies

• 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

Additional Preferred Areas (Higher Education Focus)

• 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 software such as SPSS, R, or ML
• Familiarity with ERP systems, preferably Jenzabar
• Comprehensive understanding of database fundamentals and information systems

Work Environment, Training, and Safety

• All employees are responsible for maintaining an environment free from discrimination, intimidation, harassment, including sexual harassment
• This position is considered Non-essential for Emergency Response purposes
• Ability to manage multiple projects and priorities in a fast-paced environment
• Commitment to supporting the university’s mission and student-centered outcomes
• Willingness to stay current with emerging trends in data analytics, AI, and higher education technology
• Mobility required to move around campus to meet with students, faculty, and staff
• Extended periods of sitting while working at a computer and conducting meetings
• Frequent manual dexterity for keyboard, mouse, and office equipment use
• Strong verbal and written communication abilities
• Sufficient visual and auditory ability to read documents, evaluate data, and participate in discussions and meetings
• Travel: No
• New hires have a 90-day probationary period and will be evaluated during that time
• Required compliance training includes Essential data and analytics training
• Employees must report unsafe conditions or practices and near-miss incidents to their supervisor and Risk Management
• Work-related injuries must be reported to Security and Human Resources; injury or accident reports must be submitted to Human Resources within 24 hours of the incident
• In emergency situations, employees must report for or remain at work as required

Screening

• All full-time positions at SEU are security-sensitive and require background checks
• When driving is required using a personal vehicle, rental car, or SEU vehicle, the candidate must pass an MVR records check and meet the insurance carrier requirements