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Part Time Data Analyst Jobs in Ohio (NOW HIRING)

Booz Allen Hamilton, Inc.

Nuclear Analyst

Dayton, OH · On-site +1

$61K - $141K/yr

Your technical proficiency, data analysis skills, and regulatory expertise will underpin the safe ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Booz Allen Hamilton, Inc.

$61K - $141K/yr

Using your understanding of various collection platforms, you'll explore new data sources, build ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Excelas, LLC

PRN Medical Legal Analyst

OH · On-site +1

Job Type Part-time Description Position Summary: The PRN Medical Legal Analyst (MLA) uses ... Provide accurate data entry in a consistent and concise manner, at all times.] * Complete assigned ...

Booz Allen Hamilton, Inc.

$69K - $158K/yr

Identify, analyze, and evaluate operational issues using trend data and organizational knowledge ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

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Showing results 21-40

All JobsData Analyst JobsPart Time Data Analyst JobsPart Time Data Analyst Jobs in Ohio

Part Time Data Analyst information

See Ohio salary details

$32.3K

$78.6K

$129.3K

How much do part time data analyst jobs pay per year?

As of Sep 6, 2026, the average yearly pay for part time 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 is a part time data analyst?

Part time data analysts are professionals who work fewer hours than a standard full-time schedule, typically analyzing and interpreting data to help organizations make informed decisions. They use statistical tools and software to process data, identify trends, and generate reports. Part time positions are ideal for those seeking flexible work arrangements, such as students, parents, or individuals with other commitments. Despite working fewer hours, part time data analysts are expected to have strong analytical skills and proficiency in data management tools. Their contributions are valuable to businesses seeking data-driven insights without the need for a full-time role.

What does a part time data analyst do?

A part-time data analyst collects, organizes, assesses, and reviews information. In this career, you review data to ensure that it is accurate and to identify trends, provide analysis of a market or a company’s operations and processes, or meet other needs of a company or client. Data analysts typically create reports that explain their analysis. Your responsibilities also include helping to develop and deploy systems and tools to collect, extract, and categorize data so that you can analyze it more efficiently. As a part-time employee, you perform your duties for less than 40 hours per week.

What are the key skills and qualifications needed to thrive as a part time data analyst, and why are they important?

To excel as a Part Time Data Analyst, you need proficiency in data analysis, statistical methods, and a relevant degree such as mathematics, statistics, or computer science. Familiarity with technical tools like Microsoft Excel, SQL, and data visualization platforms such as Tableau or Power BI is typically required. Attention to detail, problem-solving ability, and effective communication are crucial soft skills for interpreting and presenting data insights. These competencies enable accurate, actionable analyses that support decision-making, even within limited working hours.

How does a part time data analyst typically collaborate with full time team members to ensure project continuity?

As a part-time data analyst, you’ll often work closely with full-time analysts, project managers, and business stakeholders to maintain seamless project progress. Regular check-ins, clear documentation of your analyses, and using collaborative tools like shared dashboards or project management software are key practices. Flexibility and strong communication skills are essential, as you may need to align your schedule with team meetings or coordinate handoffs to ensure your work integrates smoothly with ongoing projects.

What is the difference between Part Time Data Analyst vs Data Scientist?

AspectPart Time Data AnalystData Scientist
Required CredentialsBachelor's degree in data-related field; some roles may require certifications like Microsoft Excel or SQLBachelor's or master's degree in data science, statistics, or related fields; often requires programming skills and certifications
Work EnvironmentTypically in office settings, supporting specific projects or departments, with flexible or part-time hoursUsually in tech or research environments, working on complex models and large datasets, often full-time
Employer & Industry UsageUsed across industries like finance, marketing, healthcare for data reporting and analysisCommon in tech, finance, and research sectors for developing predictive models and advanced analytics

While both roles involve data analysis, Part Time Data Analysts focus on supporting business decisions with basic data tasks, often on a flexible schedule. Data Scientists handle complex modeling and predictive analytics, typically in full-time roles. The choice depends on your skills, experience, and career goals.

Are part time data analyst jobs still in demand?

Part-time data analyst jobs remain in demand as organizations seek flexible ways to analyze data for decision-making. Skills in Excel, SQL, and data visualization tools like Tableau are valuable, and remote or flexible schedules are increasingly available in this field.
More about Part Time 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 Part Time Data Analyst jobs in Ohio?

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

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

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

What cities in Ohio are hiring for Part Time Data Analyst jobs?

Cities in Ohio with the most Part Time Data Analyst job openings:

Part Time Data Analyst jobs near you
Infographic showing various Part Time Data Analyst job openings in Ohio as of August 2026, with employment types broken down into 100% Part Time. Highlights an 86% In-person, and 14% Remote job distribution, with an average salary of $78,566 per year, or $37.8 per hour.

Research Intelligence Analyst

Parallax Advanced Research

Beavercreek, OH • On-site

Full-time, Part-time

Posted 27 days ago

Key responsibilities

  • Support research initiatives and operational challenges through GEOINT, All-Source, and Multi-INT analysis to produce assessments and actionable recommendations.

  • Evaluate emerging technologies such as automation, machine learning, and AI to develop workflows and improve analytical capabilities.

  • Collaborate with software developers, data scientists, and stakeholders to evaluate, test, and develop intelligence capabilities and use cases.

Job description

Job Description
Parallax Advanced Research is an Equal Opportunity Employer, drug free workplace, and complies with ADA regulations as applicable.
Position Title
Department
Reports to
Research Intelligence Analyst
Employment Status
FLSA Status
Effective Date
☐ Temporary ☒ Full-Time ☐ Part-Time
☐ Non-Exempt ☒ Exempt
Work Location
Location Address
Location State, Zip
☒ Client-site ☐ Company ☐ Remote
Beavercreek, Ohio
Position Summary
The Parallax Advanced Research Mission is to deliver innovative research and provide technology, human and business solutions via The Science of Intelligent Teaming™ for government, industry and academic clients with critical challenges.
The Research Intelligence Analyst supports this mission through GEOINT, All-Source and Multi-INT analysis to advance next-generation intelligence capabilities for the Air Force Research Laboratory (AFRL) and other Department of War (DoW) and Intelligence Community (IC) partners. The analyst executes projects with government sponsors to advance future intelligence capabilities for DoW customers. This role combines operational intelligence tradecraft with research and development to evaluate emerging analytical methodologies, AI-enabled capabilities, and data-driven technologies that improve intelligence production and decision advantage.
In this position at Parallax Advanced Research the Research Intelligence Analyst must promote transparency at all times, always act ethically, promote and ensure compliance, our people as our greatest asset, and create an environment that supports innovation and inclusive behaviors.
Essential Duties and Responsibilities
The essential functions include, but are not limited to the following:
Intelligence Analysis and Research - Percent of time spent in this function: 30%
The Research Intelligence Analyst is responsible for GEOINT, All-Source, and Multi-INT analysis to support IC and DoW research initiatives, operational challenges, and the development of innovative analytical techniques, concepts, and use cases. Analyze complex intelligence datasets to identify patterns, trends, and operational insights, applying structured analytic techniques, critical thinking, and intelligence tradecraft to produce timely assessments and actionable recommendations that enhance intelligence production and inform customer decision-making.
Advanced Analytics, AI, amp; Automation - Percent of time spent in this function: 25%
Evaluate emerging technologies, including automation, machine learning, LLMs, and data science, to enhance intelligence analysis and decision support. Collaborate with technical teams to develop AI-enabled workflows, assess automated analytical outputs, and recommend improvements that enhance analyst efficiency and operational effectiveness.
Research amp; Prototype Development Support - Percent of time spent in this function: 20%
Collaborate with software developers, data scientists, and government stakeholders to evaluate emerging intelligence capabilities and support Agile development through operational testing, user validation, and analyst-driven requirements. Develop intelligence use cases amp; workflows and participate in customer engagements and technical exchanges to ensure capabilities meet DoW and Intelligence Community (IC) mission needs.
Data Validation amp; Intelligence Quality - Percent of time spent in this function: 15%
Perform intelligence data validation, ground-truth development, and quality assurance to support research and development efforts. Evaluate automated detections, analytical outputs, and intelligence datasets for operational accuracy and mission relevance, documenting findings and recommending improvements to enhance analytical methodologies and intelligence products.
Communication amp; Customer Engagement - Percent of time spent in this function: 10%
Prepare and present intelligence products, technical reports, briefings, and research findings for government sponsors and leadership. Engage with DoW and IC stakeholders to define mission requirements, support capability development, and contribute to proposals, strategic planning, and future intelligence initiatives.
Minimum Qualifications (Knowledge, Skills, and Abilities)
• Minimum of 4 years of experience conducting GEOINT, All-Source, Multi-INT, or ISR analysis supporting DoW or IC missions.
• Experience conducting intelligence research, analysis, and producing written intelligence assessments and briefings.
• Demonstrated knowledge of intelligence tradecraft, structured analytic techniques, and critical thinking methodologies.
• Ability to analyze complex, ambiguous, and high-volume intelligence datasets and communicate findings effectively.
• Experience collaborating within multidisciplinary teams, including analysts, software developers, data scientists, and government stakeholders.
• Active TS/SCI security clearance with SCI eligibility.
Preferred Qualifications (Knowledge, Skills, and Abilities)
• Preferred four or more years supporting AFRL, NASIC, NGA, DIA, USAF, or other DoW organizations.
• Bachelor's degree in Intelligence Studies, International Relations, Geosciences, Computer Science, Data Science, or a related field, or equivalent combination of education and professional experience.
• Experience integrating GEOINT with other intelligence disciplines, including SIGINT, MASINT, OSINT, or other Multi-INT sources.
• Experience supporting research and development, prototype evaluation, user acceptance testing, or operational capability assessments.
• Familiarity with AI-enabled analytical workflows, machine learning applications, Large Language Models (LLMs), or data science techniques supporting intelligence analysis.
• Experience developing intelligence use cases, analyst workflows, operational requirements, or Concepts of Operation (CONOPS).
• Proficiency with intelligence analysis and geospatial tools such as ArcGIS, MIST, Thresher, ChatSurfer, or comparable IC analytical platforms.
• Interest in applying or evaluating LLMs for intelligence analysis and analytical workflows.
Physical Demands and Work Environment
The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this position. Reasonable accommodations may be made to enable individuals with disabilities to perform the functions.

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