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Remote Data Analyst Jobs in Ohio (NOW HIRING)

SIERTEK LTD

Visual Analyst* (26.32)

Beavercreek, OH · On-site +1

Support data collection, integration, and preparation for visual analytics and reporting. * Develop and maintain dashboards for the Aeromedical Waiver Division (AMWD), including key performance ...

Greenfield Talent

Data Engineer (Remote)

Cleveland, OH · Remote

$111K - $133K/yr

We're looking for a Data Engineer to join our Data & Analytics team and take ownership of the data infrastructure that powers internal analytics, reporting, and operational insights. This is a ...

Riverside Research

Remote Sensing Scientist

Dayton, OH · Remote

$91K - $140K/yr

... analysis and remote sensing technologies to answer specific science, technology, and innovation ... Experience with common remote sensing EO-IR data formats Desired Qualifications: * Master's degree ...

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Showing results 21-40

All JobsData Analyst JobsRemote Data Analyst JobsRemote Data Analyst Jobs in Ohio

Remote Data Analyst information

See Ohio salary details

$32.3K

$78.6K

$129.3K

How much do remote data analyst jobs pay per year?

As of Sep 5, 2026, the average yearly pay for remote data analyst in Ohio is $78,566.00, according to ZipRecruiter salary data. Most workers in this role earn between $59,400.00 and $92,200.00 per year, depending on experience, location, and employer.

What does a remote data analyst do?

A Remote Data Analyst is responsible for collecting, processing, and analyzing data to help organizations make informed business decisions, all while working from a location outside of a traditional office. They use statistical tools and software to interpret complex datasets, identify trends, and generate reports. Remote Data Analysts collaborate with team members via digital communication platforms and often present their findings to stakeholders to guide strategy and operations. Their work is essential in industries such as finance, healthcare, marketing, and technology, where data-driven decisions are crucial.

What does a remote data analyst do?

Remote data analysts use a range of methods to chart, examine, and analyze data for their clients. Unlike in-house data analysts, remote data analysts, work from home or a different location outside of the office. As a remote data analyst, your job is to evaluate a company’s data using a combination of mathematical inspection, transformation, and modeling techniques to simplify and condense it. Once the analysis is complete, you create reports for management to use to make critical decisions; this is why remote data analysts need to confirm the accuracy of the data. You may also need to present your reports to stakeholders.

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, proficiency in statistics, and a degree in a quantitative field such as mathematics, statistics, or computer science. Familiarity with data analysis tools like SQL, Excel, Python or R, and visualization platforms such as Tableau or Power BI is typically required. Excellent communication, self-motivation, and time management are crucial soft skills for collaborating remotely and presenting insights effectively. These skills ensure accurate data-driven decision-making and effective remote teamwork in a digital work environment.

How do remote data analysts typically collaborate with team members and stakeholders given the virtual work environment?

Remote Data Analysts often rely on digital communication tools such as Slack, Microsoft Teams, and Zoom to stay connected with colleagues and stakeholders. They participate in regular virtual meetings, share dashboards or reports via cloud-based platforms, and provide data-driven insights to support decision-making. Successful remote analysts proactively communicate their findings, clarify requirements, and coordinate with cross-functional teams such as IT, marketing, or finance to ensure alignment on project goals and deliverables.

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

AspectRemote Data AnalystRemote Data Scientist
Required CredentialsBachelor's in Data, Statistics, or related field; often certifications in Excel, SQL, or TableauBachelor's or Master's in Data Science, Computer Science, or related; certifications in Python, R, machine learning
Work EnvironmentPrimarily office-based or remote, focusing on data analysis and reportingPrimarily remote, involving complex data modeling and predictive analytics
Employer & Industry UsageUsed across finance, marketing, healthcare, and retail sectorsCommon in tech, finance, and research industries

Remote Data Analysts focus on interpreting data, creating reports, and supporting decision-making, while Remote Data Scientists develop models, perform advanced analytics, and work on predictive insights. Both roles require strong analytical skills, but Data Scientists typically have more technical expertise in programming and machine learning.

Are remote data analyst jobs still in demand?

Remote data analyst jobs remain in high demand due to the increasing reliance on data-driven decision making across industries. Skills in data visualization, SQL, and statistical analysis are particularly valuable, and many companies continue to expand their remote analytics teams to access a broader talent pool.

Can I get remote jobs as a remote data analyst?

Remote data analyst positions are widely available and often require skills in data analysis tools like Excel, SQL, and Python. Many companies offer remote roles with flexible schedules, and candidates typically need a strong analytical background and good communication skills.

Can you work remotely as a remote data analyst?

Remote data analysts can often work from home or other locations, depending on the employer’s policies. Many companies offer remote positions that require skills in data analysis tools like Excel, SQL, or Python, and a reliable internet connection. Availability of remote work varies by organization and role requirements.
More about Remote Data Analyst jobs

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

The most popular types of Data Analyst jobs in Ohio are:

What are popular job titles related to Remote Data Analyst jobs in Ohio?

For Remote Data Analyst jobs in Ohio, the most frequently searched job titles are:

What job categories do people searching Remote Data Analyst jobs in Ohio look for?

The top searched job categories for Remote Data Analyst jobs in Ohio are:

What cities in Ohio are hiring for Remote Data Analyst jobs?

Cities in Ohio with the most Remote Data Analyst job openings:

Remote Data Analyst jobs near you
Infographic showing various Remote Data Analyst job openings in Ohio as of August 2026, with employment types broken down into 95% Full Time, and 5% Contract. Highlights an 100% Remote job distribution, with an average salary of $78,566 per year, or $37.8 per hour.

Remote Sensing Scientist

Radiance Technologies

Beavercreek, OH • Remote

Full-time

Medical, Dental, Vision, Life, Retirement

Re-posted 12 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.

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