2

Remote Analytics Jobs in Florida (NOW HIRING)

The individual will support advanced remote sensing exploitation functions through detailed ... Utilize advanced GEOINT tools to analyze and exploit remotely sensed data to produce and ...

Remote Mortgage Underwriter

Tampa, FL · Remote

$22.02 - $39.93/hr

Analyze loans to make a valid recommendation. * True underwriting experience, calculating income ... Remote Pay range listed is based on years of experience #eastpriority26 #priorityeast Job Type ...

Senior Analytics Specialist About the Role Lead complex analytics initiatives that drive strategic ... Location: Remote -Atlanta, GA, Dallas, TX, Pensacola, FL, Tallahassee, FL, Wichita, KS If this ...

Senior Analytics Specialist About the Role Lead complex analytics initiatives that drive strategic ... Location: Remote -Atlanta, GA, Dallas, TX, Pensacola, FL, Tallahassee, FL, Wichita, KS If this ...

USAA roles may offer remote or hybrid flexibility for active-duty military spouses consistent with ... If you are a results-oriented leader with a passion for HR analytics, business alignment, and ...

USAA roles may offer remote or hybrid flexibility for active-duty military spouses consistent with ... If you are a results-oriented leader with a passion for HR analytics, business alignment, and ...

next page

Showing results 1-20

Remote Analytics information

See Florida salary details

$45.2K

$92.6K

$130.8K

How much do remote analytics jobs pay per year?

As of Jul 9, 2026, the average yearly pay for remote analytics in Florida is $92,551.00, according to ZipRecruiter salary data. Most workers in this role earn between $73,200.00 and $114,700.00 per year, depending on experience, location, and employer.

How do remote analytics professionals typically collaborate with cross-functional teams while working off-site?

Remote analytics professionals frequently collaborate with product managers, engineers, and business stakeholders through virtual meetings, shared dashboards, and collaborative project management tools. Effective communication and documentation are key to ensuring clear understanding of analytical findings and project goals. Many organizations use cloud-based platforms that allow real-time data sharing and feedback, enabling remote analytics teams to stay integrated with on-site colleagues and decision-makers. Regular check-ins and clear reporting structures also help maintain strong connections and accountability.

What is a Remote Analytics job?

A Remote Analytics job involves analyzing data and generating insights for an organization while working from a location outside of the traditional office, such as your home or another remote setting. Professionals in this field use statistical tools, data visualization, and reporting software to help companies make data-driven decisions. Their responsibilities can include gathering data, performing analyses, creating dashboards, and presenting findings to stakeholders—all accomplished through digital collaboration tools. This role is ideal for individuals who are comfortable working independently and have strong analytical and technical skills.

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

A Remote Analytics professional needs strong analytical skills, proficiency in data interpretation, and usually a background in statistics, mathematics, or a related field. Familiarity with tools such as SQL, Python, Excel, and data visualization platforms like Tableau or Power BI is typically required, along with experience in cloud-based analytics environments. Excellent communication, problem-solving abilities, and self-motivation are vital soft skills for collaborating across remote teams and presenting insights effectively. These skills and qualities enable professionals to extract actionable insights from data, drive decision-making, and succeed in a remote work setting.

What is the difference between Remote Analytics vs Remote Data Analyst?

AspectRemote AnalyticsRemote Data Analyst
Required CredentialsBachelor's in Analytics, Data Science, or related fields; often certifications in analytics toolsBachelor's in Statistics, Data Science, or related fields; certifications in data analysis tools
Work EnvironmentPrimarily uses analytics platforms, programming languages, and visualization tools remotelyFocuses on data interpretation, reporting, and visualization remotely
Employer & Industry UsageUsed across tech, finance, marketing, and consulting firms for strategic insightsCommon in finance, healthcare, and marketing sectors for data reporting

Remote Analytics and Remote Data Analyst roles share overlapping skills and work environments, but Remote Analytics often involves more advanced data modeling and strategic insights, while Remote Data Analysts focus on data interpretation and reporting. Both roles are vital in data-driven industries and frequently searched together by job seekers.

What are the most commonly searched types of Analytics jobs in Florida? The most popular types of Analytics jobs in Florida are:
What are popular job titles related to Remote Analytics jobs in Florida? For Remote Analytics jobs in Florida, the most frequently searched job titles are:
What cities in Florida are hiring for Remote Analytics jobs? Cities in Florida with the most Remote Analytics job openings:
Infographic showing various Remote Analytics job openings in Florida as of July 2026, with employment types broken down into 1% Internship, 89% Full Time, 7% Part Time, 1% Temporary, and 2% Contract. Highlights an 79% Physical, 5% Hybrid, and 16% Remote job distribution, with an average salary of $92,551 per year, or $44.5 per hour.
Remote Sensing Scientist

Full-time

Medical, Dental, Vision, Life, Retirement

Posted 15 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.