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Remote Data Analysis Jobs in Florida (NOW HIRING)

Data Analyst

Miami, FL · On-site +1

$75K - $85K/yr

Data Analyst Location: Remote (Central or Eastern U.S.) Compensation : $75,000-$85,000 DOE annual ... base salary + 10% annual target bonus Visa Sponsorship: Currently, World Fuel is unable to provide ...

The individual will support advanced remote sensing exploitation functions through detailed technical data analysis and through the development and improvement of techniques and procedures for the ...

Data Analyst III

Orlando, FL · On-site +1

$120K - $140K/yr

... analysis, validation, and quality assurance WORK SCHEDULE Full-time. May be required to work ... WORK ENVIRONMENT Work is expected to be remote; however, the company reserves the right to require ...

Senior Fraud Data Analyst

Tampa, FL · Remote

$75K - $117K/yr

Remote (candidate must reside in one of several remote hire locations) Position Type: Full Time The ... Perform complex analysis and/or modeling to identify patterns of fraudulent transactions and to ...

Senior Fraud Data Analyst

Tampa, FL · Remote

$75K - $117K/yr

Remote (candidate must reside in FL) Position Type: Full Time The Senior Fraud Analyst actively ... The senior analyst leverages state-of-the-art industry data science tools to synthesize and analyze ...

Remote Job Type: Contract Job Summary: We are looking for an experienced Business Analyst to drive ... Data Analysis & Reporting: Gather, interpret, and visualize data to provide insights for strategic ...

Nymbus is a remote-first company. Occasional travel may be required for client engagements, team ... Experience with data validation, reconciliation, reporting, exception analysis, or quality ...

Remote Job Overview We are seeking experienced AI Data Science Domain Experts to contribute their ... No prior AI experience is required--your data science expertise, analytical thinking, and ...

Remote Job Overview We are seeking experienced AI Data Science Domain Experts to contribute their ... No prior AI experience is required--your data science expertise, analytical thinking, and ...

Senior Data Analyst

Destin, FL · On-site +1

$78K - $98K/yr

Description The Senior Data Analyst owns a business domain spanning Awayday's Operations, HR ... Present insights and trends clearly, and conduct ad hoc analysis for stakeholders as needed.

Remote, US based Position type: Full Time Employee Compensation: $190.000 (base + bonus) Job Summary Data Meaning is a front-runner in Business Intelligence and Data Analytics consulting, renowned ...

Sr Data Engineer

Plantation, FL · Remote

$109K - $131K/yr

This role requires deep expertise in data analysis, data modeling, and the design of complex ELT ... TYPICAL WORKING CONDITIONS • Full time remote/telework OTHER PHYSICAL REQUIREMENTS • Vision • ...

Analyst, Senior Data

Lakeland, FL · On-site +1

$79K - $100K/yr

Conduct analysis to drive valuable business insights, using internal analytics tools, ie SQL to access and manipulate from disparate data sources * Identify, design, and implement internal process ...

Word Expert - Remote

Miami, FL · Remote

$30 - $50/hr

Remote Job Overview We are seeking experienced Business Document Experts to support an AI training ... Experience with financial modeling, data analysis, reporting, and executive presentations. * Strong ...

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Remote Data Analysis information

What is remote data analysis?

Remote data analysis refers to the process of examining, interpreting, and drawing insights from data using digital tools, while working from a location outside of a traditional office setting. Professionals in this field utilize statistical software, databases, and visualization tools to analyze large datasets and help organizations make informed decisions. Remote data analysts often collaborate with team members and stakeholders virtually, ensuring that data-driven strategies are implemented effectively. This role requires strong analytical skills, attention to detail, and the ability to communicate findings clearly.

What are the key skills and qualifications needed to thrive as a remote data analyst?

To thrive as a Remote Data Analyst, you need strong analytical skills, statistical knowledge, and a background in fields like mathematics, statistics, or computer science. Proficiency with data analysis tools such as SQL, Python, R, and visualization platforms like Tableau or Power BI is typically required. Excellent communication, self-motivation, and time management help remote analysts present insights clearly and stay productive without direct supervision. These skills and qualities ensure accurate data-driven decisions and effective remote collaboration with stakeholders.

How do remote data analysts typically collaborate with team members and stakeholders?

Remote data analysts often use a combination of communication and project management tools—such as Slack, Microsoft Teams, and Zoom—to stay connected with colleagues and stakeholders. Regular virtual meetings, shared dashboards, and collaborative platforms enable them to discuss findings, gather requirements, and provide updates on ongoing projects. Clear documentation and proactive communication are essential to ensure alignment, especially when working across different time zones or departments. Building strong relationships with team members virtually can help streamline workflows and facilitate effective decision-making.

What is the difference between Remote Data Analysis vs Remote Data Entry?

AspectRemote Data AnalysisRemote Data Entry
Required SkillsData interpretation, statistical tools, analytical skillsTyping speed, accuracy, basic computer skills
Tools UsedExcel, SQL, data visualization softwareSpreadsheets, data entry platforms
Work EnvironmentAnalytical tasks, report creation, data insightsData input, database updating, record management
Common CertificationsData analysis certifications, Excel proficiencyNone typically required

Remote Data Analysis involves interpreting data, creating reports, and providing insights using analytical tools, while Remote Data Entry focuses on inputting and managing data accurately. Both roles are performed remotely and require computer skills, but Data Analysis demands analytical expertise and familiarity with data tools, whereas Data Entry emphasizes speed and accuracy in data input tasks.

Can I get a remote job as a remote data analyst?

Remote data analyst positions are widely available and often require skills in data visualization, statistical analysis, and proficiency with tools like Excel, SQL, or Python. Many companies offer remote roles with flexible schedules, and a strong portfolio or certification can improve job prospects.

Is data analysis a good career for remote work?

Data analysis is well-suited for remote work because it primarily involves computer-based tasks such as working with datasets, using tools like Excel, SQL, and Python, and communicating insights through reports. Many companies offer remote data analyst positions, and strong skills in data visualization and self-management are important for success in a remote environment.

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

The most popular types of Data Analysis jobs in Florida are:

What are popular job titles related to Remote Data Analysis jobs in Florida?

For Remote Data Analysis jobs in Florida, the most frequently searched job titles are:

What cities in Florida are hiring for Remote Data Analysis jobs?

Cities in Florida with the most Remote Data Analysis job openings:

Infographic showing various Remote Data Analysis job openings in Florida as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution.

Data Analyst, Information Technology - KAHE

Southeastern University

Lakeland, FL • On-site, Remote

Full-time

Posted 2 days ago

New


Southeastern University rating

5.3

Company rating: 5.3 out of 10

Based on 8 frontline employees who took The Breakroom Quiz

604th of 622 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.

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