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Remote Data Analyst Jobs in Springfield, OH (NOW HIRING)

GRVTY

Senior Scientist

Dayton, OH · Remote

$88K - $121K/yr

You will work alongside algorithm engineers, data scientists, and intelligence analysts to develop and apply physics-based models, image science methods, and multi-platform remote sensing analytics.

System One

Senior Proposal Pricing Analyst

Dayton, OH · Remote

$135K - $170K/yr

Remote/hybrid Hours: 40.0 Security Clearance: Not specified Overview NO THIRD PARTIES 8+ years of ... Lead pricing reviews and present financial data and strategy to executive leadership, including the ...

System One

Senior Proposal Pricing Analyst

Dayton, OH · Remote

$135K - $170K/yr

Remote/hybrid Hours: 40.0 Security Clearance: Not specified Overview NO THIRD PARTIES 8+ years of ... Lead pricing reviews and present financial data and strategy to executive leadership, including the ...

System One

Senior Proposal Pricing Analyst

Dayton, OH · Remote

$135K - $170K/yr

Remote/hybrid Hours: 40.0 Security Clearance: Not specified Overview NO THIRD PARTIES 8+ years of ... Lead pricing reviews and present financial data and strategy to executive leadership, including the ...

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All JobsData Analyst JobsRemote Data Analyst JobsRemote Data Analyst Jobs in Springfield, OH

Remote Data Analyst information

See Springfield, OH salary details

$30.6K

$74.4K

$122.5K

How much do remote data analyst jobs pay per year?

As of Sep 6, 2026, the average yearly pay for remote data analyst in Springfield, OH is $74,438.00, according to ZipRecruiter salary data. Most workers in this role earn between $56,300.00 and $87,400.00 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 Springfield, OH?

The most popular types of Data Analyst jobs in Springfield, OH are:

What are popular job titles related to Remote Data Analyst jobs in Springfield, OH?

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

What job categories do people searching Remote Data Analyst jobs in Springfield, OH look for?

The top searched job categories for Remote Data Analyst jobs in Springfield, OH are:

What cities near Springfield, OH are hiring for Remote Data Analyst jobs?

Cities near Springfield, OH with the most Remote Data Analyst job openings:

Remote Data Analyst jobs near you
Infographic showing various Remote Data Analyst job openings in Springfield, OH as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution, with an average salary of $74,438 per year, or $35.8 per hour.

Remote Sensing Engineer

Riverside Research Institute

Dayton, OH • On-site, Remote

$145K - $170K/yr

Full-time

Re-posted 12 days ago

Key responsibilities

  • Conduct analysis, exploitation, and modeling of infrared and OPIR sensor data, including SBIRS systems.

  • Develop, prototype, and implement advanced data processing algorithms in Python, MATLAB, and other analysis environments.

  • Investigate sensor and target phenomenology and develop test plans, sensor collection scenarios, or experiments to address complex detection and tracking challenges.

Job description

Riverside Overview
Riverside Research is an independent National Security Nonprofit dedicated to research and development in the national interest. We provide high-end technical services, research and development, and prototype solutions to some of the country's most challenging technical problems.
All Riverside Research opportunities require U.S. Citizenship.
Position Overview
Riverside Research is seeking a highly skilled Overhead Persistent Infrared (OPIR) Research Engineer to support National Air and Space Intelligence Center mission areas involving infrared sensing, space-based missile warning systems, sensor modeling, advanced data exploitation, and algorithm development. The ideal candidate will have a strong technical background in EO/IR systems engineering, infrared phenomenology, OPIR data analysis, and software development for sensor exploitation.
This role requires proven experience working with complex sensor systems, developing and testing new analysis capabilities, and collaborating with government, industry, and research partners on next-generation sensing technologies.
Responsibilities
  • Conduct analysis, exploitation, and modeling of infrared and OPIR sensor data, including SBIRS systems.
  • Develop, prototype, and implement advanced data processing algorithms in Python, MATLAB, and other analysis environments.
  • Investigate sensor and target phenomenology and develop test plans, sensor collection scenarios, or experiments to address complex detection and tracking challenges.
  • Evaluate and troubleshoot data processing workflows, identify anomalies or software logic issues, and coordinate remediation strategies.
  • Support development of CONOPS, white papers, technical documentation, and transition plans for emerging sensor capabilities and new processing architectures.
  • Collaborate with research organizations, DoD stakeholders, and external agencies to evaluate and integrate emerging sensing and exploitation technologies.

Qualifications
Required Qualifications
  • Active TS/SCI clearance
  • Bachelor's or Master's degree in Physics, Computer Engineering, Space Systems, or related technical field.
  • 6+ years of experience in EO/IR systems engineering, OPIR analysis, remote sensing, or related mission areas.
  • Demonstrated experience with OPIR data formats, processing workflows, or SBIRS exploitation tools
  • Strong analytical skills and ability to diagnose sensor performance, data anomalies, and software logic issues.

Desired Qualifications
  • Experience collaborating with NASIC or other intelligence community organizations.
  • Experience developing CONOPS, technical documentation, or training materials.

Global Comp
$145,000 - $170,000 This represents the typical compensation range for this position based on experience, location and other factors.
Closing Statement
Riverside Research Institute is a not-for-profit, technology-oriented defense company, where service to our customers and support of our staff is our overall mission. Riverside is an affirmative action-equal opportunity employer and complies with all applicable federal, state, and local laws regarding recruitment and hiring. Riverside offers comprehensive compensation and benefit packages to our employees.
Riverside bases its employment decisions solely on technical experience, qualifications and other job-related criteria related to our organizational purpose as a not-for-profit company, and without regard to race, color, religion, age, sex marital status, sexual orientation, national origin, physical or mental disability, veteran's status or any other status legally protected by applicable federal, state, and local law.

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