2

Remote Data Analysis Jobs in Florida (NOW HIRING)

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 ...

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 ...

Remote, US Based, East Coast Working Hours ASRC Agile Decision Sciences LLC is currently seeking ... Prior DoD or Army data analysis experience * Active DoD Secret clearance highly desired

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 ...

As a Global Marketing Data Analyst, you'll play a critical role in helping teams understand what ... This is a remote role with up to 20% travel. This job posting is anticipated to close on 08/01/2026.

next page

Showing results 1-20

Remote Data Analysis information

What are the key skills and qualifications needed to thrive as a Remote Data Analyst, and why are they important?

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.

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.

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.

Can you work fully remote as a data analyst?

Yes, many data analyst roles are fully remote, allowing professionals to analyze data, create reports, and use tools like Excel, SQL, and Python from anywhere. Employers often require strong communication skills and proficiency with collaboration platforms such as Slack or Teams for remote work.

Are remote data analyst jobs legit?

Remote data analyst jobs are legitimate positions that involve analyzing data to support business decisions, often requiring skills in tools like Excel, SQL, or Python. However, job seekers should verify the employer's credibility and be cautious of scams by researching the company and avoiding upfront payments.

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.

Will AI replace a data analyst?

AI tools can automate routine data processing and basic analysis tasks, but data analysts are essential for interpreting complex data, making strategic decisions, and providing context. The role of a data analyst involves skills like critical thinking, domain knowledge, and communication that are not easily replaced by AI. Therefore, while AI may augment the work of data analysts, it is unlikely to fully replace them in the near future.

Can you get a remote job as a data analyst?

Yes, remote data analyst positions are widely available and often require skills in data visualization, statistical analysis, and tools like Excel, SQL, or Python. Many companies offer remote work options, and candidates typically need a relevant degree or certification and strong communication skills.
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 July 2026, with employment types broken down into 84% Full Time, 14% Part Time, and 2% Contract. Highlights an 83% Physical, 4% Hybrid, and 13% Remote job distribution.

Full-time

Medical, Dental, Vision, Life, Retirement

Re-posted 9 days ago


Job description

Radiance Technologies is an employee-owned company with benefits that are unmatched by most companies in the Dayton, OH area. Employee ownership, generous 401K, full health/dental/life/vision insurance benefits, educational reimbursement, competitive salaries, interesting assignments, and a pleasant work environment combine to make Radiance Technologies a great place to work and succeed.
Radiance is seeking a highly qualified and motivated scientist to support Geospatial Intelligence (GEOINT) production with the opportunity to continue advancement of non-literal spectral, thermal, and/or SAR analytical processes and techniques. 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 Processing, Exploitation, and Dissemination (PED) of remotely sensed data. The position requires working collaboratively with other engineers, scientists, and analysts on complex exploitation issues.
Job Duties
  • Utilize advanced GEOINT tools to analyze and exploit remotely sensed data to produce and disseminate GEOINT products
  • Provide technical leadership to teams performing exploitation and process development
  • Analyze and develop processes to support the exploitation of unique, anomalous, and difficult datasets utilizing engineering principles and a physics-based analytical approach
  • Perform algorithm development for complex data exploitation processes

Required Skills and Qualifications:
  • Bachelor's Degree (or higher) in a STEM field (Physics, Chemistry, Geology, Remote Sensing, or other relevant technical field)
  • Experience in processing and analyzing remote sensing data
  • Active TS clearance with SCI eligibility
  • Understanding of signal processing techniques for solving new problems
  • Ability to work both independently and in a team environment
  • Strong technical writing and briefing skills

Desired Skills and Qualifications:
  • Interpretation of image-based data
  • Experience with ENVI, ArcGIS, and/or similar software tools
  • Ability to code/script, such as in Python, IDL, etc.

Radiance Technologies is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status.