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Remote Data Jobs in Springfield, OH (NOW HIRING)

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Remote Data information

See Springfield, OH salary details

$41.4K

$148.6K

$219.3K

How much do remote data jobs pay per year?

As of Jun 18, 2026, the average yearly pay for remote data in Springfield, OH is $148,639.00, according to ZipRecruiter salary data. Most workers in this role earn between $120,200.00 and $153,100.00 per year, depending on experience, location, and employer.

What are some common challenges faced when working as a Remote Data Analyst, and how can they be addressed?

Remote Data Analysts often face challenges such as maintaining effective communication with team members, managing access to secure data, and staying aligned with project goals across different time zones. These can be addressed by leveraging collaboration tools like Slack or Microsoft Teams, following strict data security protocols, and participating in regular virtual meetings to ensure everyone is on the same page. Proactive communication and strong organizational skills are key to thriving in a remote data role.

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

AspectRemote DataRemote Data Analyst
Required CredentialsBachelor's in Data Science, Computer Science, or related field; knowledge of databases and data toolsBachelor's in Data Science, Statistics, or related; proficiency in data analysis tools like Excel, SQL, and visualization software
Work EnvironmentRemote, often independent, with collaboration via online platformsRemote, involves analyzing data sets, creating reports, and communicating findings
Employer & Industry UsageTech companies, finance, healthcare, and e-commerceBusiness, marketing, finance, and tech sectors

Remote Data generally refers to roles focused on managing and processing data, while Remote Data Analyst emphasizes analyzing data to generate insights. Both roles often require similar educational backgrounds and work remotely, but Data Analysts typically focus more on interpreting data and creating reports for decision-making.

How can I make 2000 a week working from home?

Remote data roles such as data analyst or data scientist can offer high earning potential, especially with specialized skills in programming, statistics, and tools like SQL or Python. To reach $2000 weekly, professionals often need extensive experience, a strong portfolio, and may work as freelancers or in consulting, often requiring a full-time schedule or multiple projects simultaneously.

What job makes $10,000 a month without a degree?

Remote data-related roles such as data analyst, data engineer, or freelance data consultant can potentially earn $10,000 or more per month without a formal degree, especially with strong skills in SQL, Python, or data visualization tools. Success in these roles often depends on experience, portfolio, and the ability to secure high-paying clients or positions, rather than formal education alone.

How to make $1000 a week remotely?

Remote data-related jobs such as data analysis, data entry, or data management can offer opportunities to earn $1000 weekly, especially with high-demand skills like SQL, Excel, or Python. Achieving this income typically requires consistent work, specialized skills, and possibly freelance or contract work arrangements that pay per project or hourly rates of $25-$50 or more.

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, proficiency in statistics, and a background in data science or a related field. Familiarity with data analysis tools such as Python, R, SQL, and platforms like Tableau or Power BI, along with relevant certifications, is typically required. Excellent self-motivation, time management, and communication skills help you stand out in a remote environment. These capabilities are crucial for delivering accurate insights, collaborating effectively from a distance, and meeting business objectives efficiently.

Is 40 too late for data science?

Age is not a barrier to entering data science, and many professionals successfully transition into the field at age 40 or later. Success depends on acquiring relevant skills such as programming, statistics, and machine learning, often through online courses or certifications, and building a strong portfolio. Employers value experience and problem-solving ability, making it possible to start a data science career at any age with dedication.

What are remote data jobs?

Remote data jobs are positions that involve collecting, analyzing, managing, or interpreting data while working from a location outside the traditional office environment. These roles can include data analysts, data scientists, data entry specialists, and database administrators, among others. Remote data professionals use online tools and platforms to access and process data, collaborate with teams, and deliver insights or reports. This flexible work arrangement allows individuals to contribute to data-driven projects from anywhere with an internet connection.
What are the most commonly searched types of Data jobs in Springfield, OH? The most popular types of Data jobs in Springfield, OH are:
What cities near Springfield, OH are hiring for Remote Data jobs? Cities near Springfield, OH with the most Remote Data job openings:
Data Analyst - GEOINT SME - Mid - QE-DA-0004

Data Analyst - GEOINT SME - Mid - QE-DA-0004

Integrated Intel Solutions

Dayton, OH โ€ข Remote

Full-time

Posted 13 days ago


Job description

PD 08: Data Analysis โ€“ Mid


The Data Analysis โ€“ Mid, applies their technical and analytical capabilities to support key business and security objectives. This role involves collaborating with stakeholders to clarify requirements, develop and maintain analytical models, and transforming data into actionable insights. The contractor must be a proficient problem-solver, capable of working both independently and collaboratively to contribute to projects that enhance organizational efficiency and support insider threat mitigation programs


Duties May Include:

โ€ข Data Analysis and Visualization: Develop data analytics and visualizations by applying proven, industry-standard data science principles and techniques. Create and edit visual content, including charts, graphs, and dashboards, to transform quantitative and qualitative data sets into compelling and understandable visuals.

โ€ข Business Process Improvement: Collaborate with project requestors, stakeholders, and project managers to refine project requests and clarify business needs and objectives. Use data analytics to form business insights, identify issues, and recommend effective ways to boost organizational efficiency.

โ€ข Analytical Model Support: Integrate, develop, and maintain analytic models, visualizations, and tools designed to deter, detect, and mitigate insider threats. Support the sustainment of risk scoring tools and other data analysis implementations by identifying and helping to resolve system errors and failures.

โ€ข Stakeholder Collaboration: Work closely with subject matter experts to learn about specific products and processes. Support the preparation of reports and briefs on analyses and dashboard functionality for various internal teams.

โ€ข Data and Metrics Management: Capture, maintain, and accumulate statistics that show quantities and timelines for key processes, such as data transfers between domains, to support system integrity and performance monitoring.

โ€ข Policy and Communications Support: Assist in supporting Policy Business Operations, including policy development, review, and coordination. Contribute to the creation and revision of technical documents, reports, and communications products, ensuring they integrate a common message


Required Skills:

โ€ข Education: A minimum of a Bachelorโ€™s Degree in Data Science, Statistics, Business, or a related field.

โ€ข Experience: 6+ years Proven experience in integrating, developing, and maintaining analytic models, visualizations, and tools, preferably in a security or threat-detection context. Experience developing data analytics and visualizations using standard data science practices. In lieu of a degree, 10+ years of experience.

โ€ข Demonstrated ability to use data to form business insights, draw logical conclusions, and contribute to performance-improving strategies.

โ€ข Experience in collaborating with stakeholders to clarify project needs and business objectives.

โ€ข Familiarity with the concepts of analytical model development and maintenance.

โ€ข Strong organizational and communication skills, with the ability to work effectively in a team-oriented environment.

โ€ข Proficiency in creating and editing visual content such as charts and graphs to represent data.

โ€ข At least 12 months demonstrated experience in one or more Geospatial Information Systems tools such as ArcView, ArcGIS, Remote View, ArcIMS, ERDAS Imagine, Remote View, ERDAS Imagine, Macromedia Dreamweaver, Macromedia Fireworks, Photoshop, HTML, and FrameMaker

โ€ข Demonstrated coding experience to support writing scripts with tools such as but not limited to Java and Python.

โ€ข Demonstrated ability to use Share Point, Tableau, Redmine, and other systems/databases to manipulate and build data visualization.


Desired Skills:

โ€ข Experience supporting insider threat, risk scoring, or similar security-focused analytics programs.

โ€ข Experience with policy development or process improvement initiatives.

โ€ข Familiarity with GEOINT analysis software or NGA-specific applications.




Integrated Intel Solutions logo

About Integrated Intel Solutions

Sourced by ZipRecruiter

Here at Integrated Intel Solutions, Our distinctive company culture is based on a goal-driven workplace. As a Mission focused solutions provider, our professionals consistently deliver exceptional results to our IC customesr with a focus on the requirements of the major three letter agencies. We believe in sustained engagement, team building and long-term retention of our workforce; we are proud to offer long-term career paths for our team. We know our team is the key to our success each and every person contributes to our growth. We actively engage our team to continuously seek feedback to improve our offerings. Our strength and competitive advantage is and always will be our team members. This is a unique business approach. It sets us apart from other government contractors. Technology continues to evolve rapidly, and we realize our professionals need to be educated and trained in the latest innovations to remain productive and competitive. As part of our career path offerings, we offer ample opportunities for team members to pursue certifications, coursework and webinars to enhance their knowledge base.

Industry

It services

Company size

11 - 50 Employees

Headquarters location

Middleburg, VA, US

Year founded

2002

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