Data Analyst, Information Technology - KAHE

Southeastern University•Lakeland, FL

19h•Hybrid

About The Position

The Data Analyst plays a critical role in supporting data-informed decision-making across the university. This position is responsible for collecting, analyzing, and interpreting data from multiple systems to deliver actionable insights that enhance student success, operational efficiency, and institutional effectiveness. This role will partner closely with departments such as Enrollment, Finance, Student Success, and Academic Affairs, and will contribute to the university’s broader data strategy by developing dashboards, reports, and scalable data solutions. The ideal candidate is both analytical and curious, with the ability to leverage modern data tools—including AI-assisted analytics and visualization platforms—to accelerate insights and improve outcomes.

Requirements

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 with data visualization tools (e.g., Power BI, Tableau, 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

Nice To Haves

Master's in Computer science or related discipline
Experience in higher education or similar complex organizational environments
Familiarity with systems such as SIS, CRM, or LMS platforms
Experience with data warehousing concepts and ETL processes
Proficiency in Python or R for data analysis
Experience using AI tools for data analysis, automation, or visualization (e.g., ChatGPT, Copilot, AutoML tools, or similar platforms)
Prior experience in Higher Education is highly valued, especially in the following areas: Higher Education Data Standards: Familiarity with higher education datasets (e.g., IPEDS) and compliance with educational data standards.
Cross-Departmental Collaboration: Ability to work effectively with both academic and administrative departments for comprehensive data gathering and analysis.
Compliance and Privacy: Knowledge of FERPA and other relevant privacy regulations in the context of educational data.
Data Governance: Experience in data governance practices within an educational setting.
Analytical Frameworks and Reporting: Familiarity with educational assessment frameworks and accreditation reporting standards.
Agile methodology proficiency.
Software and Analytic tools: Experience with Python.
Familiarity with Microsoft Access, Excel, and additional languages like Java or Scala.
Knowledge of statistical software such as SPSS, R, or ML.
Familiarity with ERP systems, preferably Jenzabar.
Experience with data visualization tools such as Power BI or Tableau.
Comprehensive understanding of database fundamentals and information systems.

Responsibilities

Analyze data from enterprise systems (e.g., SIS, CRM, LMS, financial systems) to identify trends, patterns, and opportunities
Translate complex data into clear, actionable insights for both technical and non-technical stakeholders
Support institutional reporting needs, including enrollment, retention, financial, and operational metrics
Perform 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 drive self-service data usage across departments
Ensure consistency and accuracy in reporting definitions and metrics
Utilize AI-powered tools (e.g., generative AI, automated analytics platforms) to accelerate data exploration, pattern recognition, and insight generation
Leverage 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
Promote responsible and ethical use of AI in data analysis and reporting
Work with data engineers and IT teams to access and integrate data from various sources
Ensure data quality, integrity, and consistency across reporting systems
Support the development of a centralized data warehouse or data platform
Assist in defining and maintaining data standards and documentation
Partner with campus stakeholders to understand data needs and deliver meaningful solutions
Provide training and support for end users in accessing and interpreting data
Contribute to a culture of data literacy and data-informed decision-making across the university