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Data Analyst Contractor Jobs in Ohio (NOW HIRING)

$100K - $120K/yr

Build data analysis infrastructure to enable quick and efficient reporting for any contracting vector across the enterprise. * Analyze contract, network, and business issues using relevant data ...

Data Engineer

Dayton, OH Β· On-site

$120K - $135K/yr

Python for data analysis, cleansing, and visualization (4 years preferred) * SharePoint lists ... Ability to work collaboratively with a diverse team of contractors and government personnel

Operations Research Analyst

Dayton, OH Β· On-site

$95K - $113K/yr

... contracting support, advice and consultation on research/study experimental design, data analytics and operational issues, support for protocol submissions and clearance by IRBs and IACUCs ...

Operations Research Analyst

Houston, OH

$92K - $109K/yr

... contracting support, advice and consultation on research/study experimental design, data analytics and operational issues, support for protocol submissions and clearance by IRBs and IACUCs ...

Operations Research Analyst

Dayton, OH Β· On-site

$95K - $113K/yr

... contracting support, advice and consultation on research/study experimental design, data analytics and operational issues, support for protocol submissions and clearance by IRBs and IACUCs ...

Contractor & Vendor Management: Manage contractor services to ensure quality work product and ... Data Analysis: Experience with data trending and analysis, including the ability to rapidly learn ...

Contractor & Vendor Management: Manage contractor services to ensure quality work product and ... Data Analysis: Experience with data trending and analysis, including the ability to rapidly learn ...

Showing results 41-60

Data Analyst Contractor information

See Ohio salary details

$32.3K

$78.6K

$129.3K

How much do data analyst contractor jobs pay per year?

As of Sep 14, 2026, the average yearly pay for data analyst contractor 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 data analyst contractor do?

A Data Analyst Contractor is a professional hired on a temporary or project basis to analyze, interpret, and visualize data for organizations. They collect and process large datasets, identify trends and patterns, and provide actionable insights to help businesses make informed decisions. Contractors may work across various industries and are often responsible for delivering specific data-driven solutions within a set timeframe. Their work can involve using statistical tools, creating reports, and collaborating with other teams to meet project goals.

How does a data analyst contractor typically integrate with full-time teams, and what collaboration challenges might arise?

As a Data Analyst Contractor, you’ll often work closely with full-time team members such as business analysts, data engineers, and project managers, but you may not be involved in all internal meetings or long-term strategy sessions. Effective communication and proactive relationship-building are crucial, as contractors sometimes face challenges accessing all relevant data or context due to their temporary status. To succeed, it’s important to clarify expectations upfront, leverage available documentation, and regularly sync with stakeholders to ensure alignment and smooth workflow integration.

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

To thrive as a Data Analyst Contractor, you need strong analytical skills, proficiency in statistics, and a relevant degree such as in mathematics, computer science, or a related field. Familiarity with tools like SQL, Excel, Tableau, and programming languages such as Python or R, along with knowledge of data privacy regulations, is typically required. Excellent problem-solving, communication, and time management skills help you interpret data insights and deliver results to diverse clients. These competencies ensure accurate, actionable analysis and successful project completion in dynamic contract environments.

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

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

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

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

Infographic showing various Data Analyst Contractor job openings in Ohio as of September 2026, with employment types broken down into 72% Full Time, and 28% Contract. Highlights an 46% In-person, and 54% Remote job distribution, with an average salary of $78,566 per year, or $37.8 per hour.

Data Science Manager with Security Clearance

Fairborn, OH β€’ On-site

Credence Management Solutions
Business Management ConsultingΒ β€’Β 51 - 200 employees

Other

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 17 days ago


Job description

Overview At Credence, we support our clients' mission-critical needs, powered by technology. We provide cutting-edge solutions, including AI/ML, enterprise modernization, and advanced intelligence capabilities, to the largest defense and health federal organizations. Through partnership and trust, we increase mission success for war-fighters and secure our nation for a better future. We are privately held, are repeatedly recognized as a top place to work, and have been on the Inc. 5000 Fastest Growing Private Companies list for the last 13 years. We practice servant leadership and believe that by focusing on the success of our clients, team members, and partners, we all achieve greater success. Position Summary Credence has an immediate need for a Data Science Manager at the journeyman level to support HQ AFMC A4/10 at Wright Patterson AFB, OH. . This role is ideal for a data professional who enjoys transforming complex procurement, logistics, and enterprise systems data into actionable insights through analytics, automation, dashboards, data modeling, and decision-support solutions for Air Force stakeholders. The Headquarters Air Force Material Command Directorate of Logistics, Civil Engineering, Force Protection, and Nuclear Integration (HQ AFMC/A4/10) has the AFMC mission responsibility to: shape the workforce and infrastructure to provide logistics, sustainment, and installation support for acquisition logistics, supply management, depot maintenance, and base-level logistics operations, and deliver responsive strategic facility and infrastructure oversight and over-arching direction for all Major Command (MAJCOM) security operations...resulting in war-winning expeditionary capabilities. In this position, the selected candidate will support enterprise data modernization efforts by helping connect data across systems, improve data quality, identify trends, develop meaningful visualizations, and translate business needs into scalable analytics and business intelligence solutions. Responsibilities include, but are not limited to the duties listed below: * Provide professional services in support of the Digital Materiel Management (DMM) initiative as defined in the PWS.
* Support DMM modernization efforts by providing integrated tools for contract data normalization, analysis, and analytics to facilitate Air Force-wide insight into procurement data.
* Utilize current and future DoD and Air Force IT systems to connect procurement data and generate tools and visualizations for the procurement community.
* Perform professional and administrative tasks in support of the contracting functional community's DMM efforts.
* Gather business requirements, analyze source systems, define underlying data sources and transformation requirements, design data models, and develop metadata for data analysis and visualization.
* Acquire and analyze data and metrics across the enterprise to determine how they can be incorporated into data visualizations and dashboards.
* Conduct exploratory data analysis, trend analysis, and data quality assessments to uncover patterns, risks, opportunities, and actionable insights that support operational and strategic decision-making.
* Collaborate with business areas and project teams to elicit, identify, prioritize, and document data visualization and business intelligence requirements.
* Translate complex data findings into clear narratives, dashboards, and data stories that enable non-technical stakeholders to understand key insights and make informed decisions.
* Serve as a functional and technical data visualization and business intelligence subject matter expert.
* Translate business analysis and business needs into prototype concepts for reports and dashboards and contribute to design and visualization best practices.
* Utilize business intelligence tools to take dashboard requirements and develop deliverable solutions.
* Create and update Python scripts for data translation from multiple sources.
* Support data pipeline, data integration, and automation activities by working with structured and unstructured data from multiple enterprise systems and applying repeatable, scalable approaches to data transformation.
* Serve as a functional and technical Robotic Process Automation (RPA) subject matter expert.
* Document data acquisition, data management, and data governance processes.
* Promote data governance, metadata management, data lineage, and standardization practices to improve consistency, usability, and trust in enterprise data assets.
* Make and implement process improvements and efficiencies.
* Create training materials and user guides.
* Conduct group and one-on-one training sessions with end users. Requirements Education, Requirements and Qualifications: * Must have an active or current Secret security clearance, or higher.
* BA/BS degree and at least three (3) years of experience in the respective technical/professional discipline being performed, with proper certifications required in the labor category performance requirements * OR six (6) years of directly related experience.
* Knowledgeable in enterprise software development and the acquisition life cycle, with applied knowledge of Government program management skills and document preparation.
* Ability to use Government-provided office automation tools.
* Knowledge of federal and Department e-business and contracting systems, analytics platforms, and data tools, including but not limited to Conwrite, Automated Contract Preparation System (ACPS), CON-IT, Advana, CDO-VALT, Program Management Resource Tools (PMRT), Federal Procurement Data System-Next Generation (FPDS-NG), Procurement Integrated Enterprise Environment (PIEE) suite, Electronic Document Access (EDA), Wide Area Workflow (WAWF), ABSS, ERP systems, SQL, Python, UiPath, Qlik Sense, QlikView, Tableau, Power BI, Power Apps, and β€’ Power Automate, data modeling, dashboard development, data visualization, data transformation, and business intelligence reporting.
* Extensive knowledge of the federal acquisition process, including in-depth experience with the Federal Acquisition Regulation (FAR), Defense Federal Acquisition Regulation Supplement (DFARS), Department of the Air Force Federal Acquisition Regulation Supplement (DAFFARS), and DoD and Air Force acquisition instructions.
Preferred Experience: * Hands-on experience with Python, SQL, Power BI, Tableau, Qlik, Power Apps, Power Automate, UiPath, or similar tools for dashboards, reporting, automation, and data-driven solutions.
* Experience leveraging AI/ML, Generative AI, predictive analytics, or automation technologies to improve data-driven decision-making, business process efficiency, and operational outcomes within DoD, Air Force, or federal environments.
* Experience with data pipelines, integration, transformation, cleansing, validation, data modeling, governance, metadata, or data lineage.
* Ability to apply exploration analysis, trend analysis, statistical analysis, predictive analytics, or machine learning concepts to support business insights and decision-making.
* Strong ability to present complex data insights through clear dashboards, visualizations, narratives, and recommendations for technical and non-technical stakeholders. Benefits * Health Care Plan (Medical, Dental & Vision)
* Retirement Plan (401k, IRA)
* Life Insurance (Basic, Voluntary & AD&D)
* Paid Time Off (Vacation, Sick & Public Holidays)
* Family Leave (Maternity, Paternity)
* Short Term & Long Term Disability
* Training & Development