1

Director Educational Data Analyst Jobs in Florida

Role Overview LaunchEd is an innovation platform that helps education companies prove the real ... As the Data Analyst Researcher , you'll build and deliver the research behind those decisions. You ...

Role Overview LaunchEd is an innovation platform that helps education companies prove the real ... As the Data Analyst Researcher , you'll build and deliver the research behind those decisions. You ...

STEMBoard boasts a lively education and outreach program that teaches engineering to the historically underserved. Principal Duties and Responsibilities: * Data analysts will work with government ...

STEMBoard boasts a lively education and outreach program that teaches engineering to the historically underserved. Principal Duties and Responsibilities: * Data analysts will work with government ...

Data Analyst

Fort Walton Beach, FL · On-site

$58 - $138/hr

The work done in this role has a direct impact on mission readiness as the team's efforts go toward making a more resilient and data-driven organization. Responsibilities Data Analysts are ...

Responsibilities: The Data Analyst is responsible for ensuring enterprise data is accurate ... Director and above level have Discretionary Time Off, which for Directors is generally 15 days and ...

Respond to BI tool inquiries and collaborate with training to facilitate user education. * Proactively explore new metrics within existing data to improve analytics. * Maintain and publish ...

Data Analyst

Fort Myers, FL · On-site

$70 - $90/hr

Analyze the disparate data sources and come up with an efficient strategy to ingest, clean ... Education Required Master's degree in Computer Science /Computer Information Systems/ Information ...

New

Data Analyst with strong experience in Big Data, Cloud (AWS & GCP), and AI/ML-enabled data ... Insurance Education Requirements * Bachelor's/master's in computer science or equivalent (can be ...

next page

Showing results 1-20

Director Educational Data Analyst information

What is a director educational data analyst?

A Director Educational Data Analyst is a senior professional who leads the collection, analysis, and interpretation of educational data within an institution or school district. They oversee teams that use data to assess student performance, measure program effectiveness, and inform decision-making to improve educational outcomes. Their responsibilities often include developing data strategies, ensuring data quality, and reporting findings to stakeholders such as administrators and policymakers. This role typically requires expertise in data analysis, educational research, and leadership.

What are the key skills and qualifications needed to thrive as a director educational data analyst, and why are they important?

To thrive as a Director Educational Data Analyst, you need expertise in data analysis, statistics, educational measurement, and a relevant advanced degree such as a master's or doctorate in education, statistics, or data science. Familiarity with statistical software (e.g., R, SPSS, SAS), data visualization tools (e.g., Tableau, Power BI), and educational data systems is typically required. Strong leadership, communication, and problem-solving skills enable effective collaboration with stakeholders and strategic decision-making. These skills and qualities are crucial for transforming complex educational data into actionable insights that drive institutional improvement and student success.

What are some common challenges faced by a director educational data analyst when implementing data-driven initiatives across multiple departments?

A Director Educational Data Analyst often encounters challenges such as integrating disparate data systems, ensuring data accuracy and consistency, and gaining buy-in from stakeholders with varying levels of data literacy. Balancing the need for actionable insights with privacy and compliance regulations, especially in educational settings, can also be complex. Successful directors typically focus on clear communication, ongoing training, and establishing standardized processes to promote effective collaboration and the meaningful use of data across departments.

What is the difference between Director Educational Data Analyst vs Educational Data Analyst?

AspectDirector Educational Data AnalystEducational Data Analyst
Required CredentialsBachelor's or Master's in Education, Data Science, or related field; experience in data analysis and leadershipBachelor's or Master's in Education, Data Science, or related field; strong analytical skills
Work EnvironmentLeadership role overseeing teams, strategic planning, and policy developmentData analysis, reporting, and supporting educational programs
Employer & Industry UsageSchools, districts, education departments, and institutionsEducational institutions, research organizations, and government agencies

The main difference between a Director Educational Data Analyst and an Educational Data Analyst lies in their scope and responsibilities. The director typically oversees teams, sets strategic goals, and influences policy, while the analyst focuses on data collection, analysis, and reporting. Both roles require similar educational backgrounds and skills, but the director's position involves more leadership and decision-making responsibilities.

What are the most commonly searched types of Educational Data Analyst jobs in Florida?

The most popular types of Educational Data Analyst jobs in Florida are:

What are popular job titles related to Director Educational Data Analyst jobs in Florida?

For Director Educational Data Analyst jobs in Florida, the most frequently searched job titles are:

What job categories do people searching Director Educational Data Analyst jobs in Florida look for?

The top searched job categories for Director Educational Data Analyst jobs in Florida are:

What cities in Florida are hiring for Director Educational Data Analyst jobs?

Cities in Florida with the most Director Educational Data Analyst job openings:

Infographic showing various Director Educational Data Analyst job openings in Florida as of August 2026, with employment types broken down into 1% As Needed, 88% Full Time, 9% Part Time, and 2% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution.

Data Analyst, Information Technology - KAHE

Southeastern University

Lakeland, FL • On-site, Remote

Full-time

Posted 12 days ago


Southeastern University rating

5.3

Company rating: 5.3 out of 10

Based on 8 frontline employees who took The Breakroom Quiz

609th of 628 rated colleges and universities


Job description

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.


ORGANIZATIONAL RELATIONSHIPS 

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: 

Data Analysis & Insights
  • 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
Data Visualization & Reporting
  • 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
AI-Enabled Data Analysis
  • 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
Data Management & Integration
  • 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
Collaboration & Stakeholder Engagement
  • 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.


WORK ENVIRONMENT 

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
Physical Requirements: 
  • 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.
Travel:

No 

Schedule:

Monday through Friday - 8 hours per day


TRAINING

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


SAFETY 
  • 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.  


SCREENING

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.


DISCLAIMER

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.

Southeastern University is committed to equal opportunity in employment and education and does not discriminate on the basis of race, color, sex (including pregnancy), parental status, national origin, age, disability, genetic information (including family medical history), political affiliation, military service, or other non-merit-based factors. The equal opportunity policy will apply in University programs and activities, and all aspects of employment, including but not limited to recruiting, hiring, placement, transfer, training, promotion, rates of pay, and other compensation, termination and all other terms, conditions and privileges of employment. All employees of Southeastern University, by continued employment, agree to abide by the policies contained in the Employee Handbook and in the SEU Mission, Vision, Statement of Faith and Community Covenant.

What Southeastern University employees say

Pay

Hours and flexibility

Workplace

Get the full story on Breakroom