Data Analyst, Information Technology - KAHE

JOB SUMMARY  

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.

Reports to: Executive Director of Enterprise Services

Supervisory Responsibility: N/A  

Indirect Supervisory Responsibility: N/A

ESSENTIAL DUTIES - May include, but is not limited to the following: 

• 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

ADDITIONAL/NON-ESSENTIAL DUTIES 

N/A

All remaining duties are considered "nonessential" within the context of the ADA, which means that the function could be reassigned to another employee in order to allow a disabled individual to hold the position.  Alternatively, the manager could try to provide a reasonable accommodation so that the disabled individual could perform the function.

LOCATION 

Main Campus Hybrid (some remote, some main campus, and/or some other physical location) 

EDUCATION   

Required Education:

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

Preferred Education:

Master's in Computer science or related discipline

LICENSES/CERTIFICATIONS

N/A

EXPERIENCE 

Required:

2–5 years of experience in data analysis, reporting, or business intelligence

Preferred:

Experience in higher education or similar complex organizational environments

KNOWLEDGE, SKILLS, AND ABILITIES

Required:

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

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

 Preferred:

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.

All employees are responsible for maintaining an environment that is free from discrimination, intimidation, harassment, including sexual harassment. 

• This position is considered Non-essential for the purposes of Emergency Response.
• 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: Ability to move around the campus to meet with students, faculty, and staff.
• Sitting: Extended periods of sitting while working at a computer, conducting virtual or in-person meetings, and performing administrative tasks.
• Manual Dexterity: Frequent use of a computer keyboard, mouse, and other office equipment for administrative and communication tasks.
• Communication: Strong verbal and written communication skills to interact effectively with students, faculty, and colleagues.
• Visual and Auditory Ability: Sufficient visual and auditory ability to perform essential job functions, including reading documents, evaluating data, and participating in discussions and meetings.

No 

Monday through Friday - 8 hours per day

All new hires and employees transferring into a new position will have a 90-day probationary period within which to learn the functions of the job and to be evaluated. Following the probationary period, the employee can transition to regular status, have the probationary period extended in order to receive more training, or employment can be terminated. Required compliance training is as follows:

Essential data and analytics training

• SEU promotes a safe working environment. Employees are responsible for completing assigned tasks safely and efficiently, and supervisors are responsible for creating and maintaining a safe work environment. 
• Employees must report any unsafe work conditions or practices, as well as any near-miss incidents, to their supervisor and Risk Management. 
• Work-related injuries must be immediately reported to Security and Human Resources. When life or limb are at risk, please dial 911. Supervisors and employees should ensure that injury/accident reports are submitted to the Office of Human Resources within 24 hours of the incident. 
• Emergency Employees report for or must remain at work in emergency situations.  Dismissal or closure announcements do not apply to this position, unless instructed otherwise by your direct supervisor or a member of the Leadership Team.  

All full-time positions at SEU are deemed security-sensitive and require background checks. Employees required to drive their own personal vehicle, a rental car or an SEU vehicle in performance of their duties must pass an MVR records check and meet the requirements of the University’s insurance carrier in order to meet the requirements of the position.

SEU is an at-will employer.  This job description does not constitute an employment agreement between the employer and employee and is subject to change by the employer as the needs of the employer and requirements of the job change. The employer retains the right to change or assign other duties to this position.

The employee must be able to perform the essential functions of the position satisfactorily and, if requested, reasonable accommodations will be made to enable employees with disabilities to perform the essential functions of their job, absent undue hardship.

SEU is committed to providing a workplace that is free from unlawful discrimination and harassment. All forms of discrimination against or harassment of a person because of his or her identification within a protected category are strictly prohibited and will not be tolerated. This prohibition applies equally to conduct by and against employees, vendors, visitors, and students.