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Remote Data Analysis Jobs in Ohio (NOW HIRING)

SAIC

Data Analyst - GEOINT Technical SME

Dayton, OH · Remote

$120K - $160K/yr

TS/SCI with Poly Potential for Remote Work: ORA_ON_SITE Description The Data Analyst - GEOINT Technical SME applies their technical and analytical capabilities to support key business and security ...

Booz Allen Hamilton

Data Analyst

Dayton, OH · On-site +1

$61K - $141K/yr

Support the sustainment of risk scoring tools and other data analysis implementations by ... Remote : If this position is listed as remote, there may still be occasions when you are required ...

Procter & Gamble

Data Analyst

Mason, OH · On-site +1

Proficiency in data analysis tools such as Python, R, SQL, and Excel * Knowledge of statistical methods and data modeling * Expertise in data cleaning and preprocessing techniques * Data ...

Quadax, Inc.

Data Science Analyst

Cleveland, OH · On-site +1

Open to remote employees ONLY in: OH (if residence is outside a reasonably commutable distance), PA ... Strong business acumen and data analysis skills and the ability to identify customer needs, analyze ...

A-TEK Inc.

Health IT Data Analyst I

Continental, OH · Remote

$70K - $75K/yr

This is a remote position requiring all work be performed in the continental United States. US ... Perform quantitative analysis of healthcare and operational data. * Build recurring and ad hoc ...

DPDHL

Sr Business Data Analyst

Westerville, OH · On-site +1

$70K - $115K/yr

Remote/U.S.-based position with up to 50% travel required to support startup implementations and site launches. The Sr Business Data Analyst role has a national salary range of $70,000 - $115,000.

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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 Ohio? The most popular types of Data Analysis jobs in Ohio are:
What are popular job titles related to Remote Data Analysis jobs in Ohio? For Remote Data Analysis jobs in Ohio, the most frequently searched job titles are:
What job categories do people searching Remote Data Analysis jobs in Ohio look for? The top searched job categories for Remote Data Analysis jobs in Ohio are:
What cities in Ohio are hiring for Remote Data Analysis jobs? Cities in Ohio with the most Remote Data Analysis job openings:
Remote Data Analysis jobs near you
Infographic showing various Remote Data Analysis job openings in Ohio as of July 2026, with employment types broken down into 84% Full Time, 14% Part Time, and 2% Contract. Highlights an 83% Physical, 3% Hybrid, and 14% Remote job distribution.
Data Analyst - GEOINT Technical SME

Data Analyst - GEOINT Technical SME

SAIC

Dayton, OH • Remote

$120K - $160K/yr

Full-time

Posted 15 days ago

SAIC rating

7.9

Company rating: 7.9 out of 10

Based on 79 frontline employees who took The Breakroom Quiz

68th of 210 rated it services

Job description

Job ID: 2612192

Location: Dayton, OH, US

Date Posted: 2026-05-05

Category: Information Technology

Subcategory: Metrics and Data

Schedule: Full-Time

Shift: Day Job

Travel: No

Minimum Clearance Required: TS.SCI

Clearance Level Must Be Able to Obtain: TS/SCI with Poly

Potential for Remote Work: ORA_ON_SITE


Description

The Data Analyst - GEOINT Technical SME 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.

Work will be performed at the customer site in Dayton, OH. 

The hiring of this position in contingent upon contract award. Anticipated award is fall of 2026.

Duties May Include:

  • 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
  • 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
  • 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
  • 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
  • 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
  • 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

Qualifications

Required Skills:

Education: A minimum of a Bachelor’s Degree in Data Science, Statistics, Business, or a related field

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
  • Demonstrated ability to use data to form business insights, draw logical conclusions, and contribute to performance-improving strategies
  • Experience in collaborating with stakeholders to clarify project needs and business objectives
    Familiarity with the concepts of analytical model development and maintenance
  • Strong organizational and communication skills, with the ability to work effectively in a team-oriented environment
  • Proficiency in creating and editing visual content such as charts and graphs to represent data
  • 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
  • Demonstrated coding experience to support writing scripts with tools such as but not limited to Java and Python
  • Demonstrated ability to use Share Point, Tableau, Redmine, and other systems/databases to manipulate and build data visualization

Desired Skills:

  • Experience supporting insider threat, risk scoring, or similar security-focused analytics programs
  • Experience with policy development or process improvement initiatives
  • Familiarity with GEOINT analysis software or Customer-specific applications

Target salary range: $120,001 - $160,000. The estimate displayed represents the typical salary range for this position based on experience and other factors.

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