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Data Analyst Data Science Jobs in Ohio (NOW HIRING)

Position Summary Credence has an immediate need for a Data Science Manager at the journeyman level ... Acquire and analyze data and metrics across the enterprise to determine how they can be ...

Data Scientist

Cincinnati, OH · On-site

$85K - $122K/yr

... Science, Engineering, Applied Mathematics, Statistics, Physics, Analytics, etc.) or possess ... Data Handling & Cloud: Experience with large datasets anddeveloping incloud computing platforms ...

Data Scientist

Dayton, OH · On-site

$99 - $225/hr

Work with us as we use data science for good. Join us. The world can't wait. You Have: * 5+ years of experience with data exploration, data cleaning, data analysis, data visualization, or data mining ...

Data Analyst

Akron, OH · On-site

$79K - $139K/yr

This position will analyze complex business needs related to C&DS project data and answer critical ... Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, Engineering or ...

Data Analyst

Akron, OH · On-site

$79K - $139K/yr

This position will analyze complex business needs related to C&DS project data and answer critical ... Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, Engineering or ...

... Science, or a related field; MBA or advanced degree a plus 3-5+ years of experience in data analysis, customer analytics, or marketing analytics Strong experience working with customer databases and ...

Bachelor's degree in Analytics, Data Science, or a related field; MBA or advanced degree a plus * 3-5+ years of experience in data analysis, customer analytics, or marketing analytics * Strong ...

Bachelor's degree in Analytics, Data Science, or a related field; MBA or advanced degree a plus * 3-5+ years of experience in data analysis, customer analytics, or marketing analytics * Strong ...

Data Analyst

Columbus, OH · On-site

$75 - $115/hr

Bachelor's degree in Analytics, Economics, Mathematics, Computer Science, or related fields * 3-5+ years in data analytics roles, including significant experience defining requirements, designing ...

Bachelor's degree in Analytics, Economics, Mathematics, Computer Science, or related fields * 3-5+ years in data analytics roles, including significant experience defining requirements, designing ...

You'll be working closely with the Data Analytics and Quality Manager and Data Systems Manager, to ... Bachelor's degree in a relevant subject (e.g. social geography, environmental sciences ...

Showing results 41-60

Data Analyst Data Science information

See Ohio salary details

$13

$36

$62

How much do data analyst data science jobs pay per hour?

As of Aug 25, 2026, the average hourly pay for data analyst data science in Ohio is $36.18, according to ZipRecruiter salary data. Most workers in this role earn between $26.11 and $43.85 per hour, depending on experience, location, and employer.

What does a data analyst in data science do?

A Data Analyst in Data Science collects, processes, and analyzes large sets of data to help organizations make informed decisions. They use statistical techniques and data visualization tools to identify trends, patterns, and insights from data. Their responsibilities often include cleaning data, creating reports, and communicating findings to stakeholders. Data Analysts play a key role in helping businesses optimize operations, understand customer behavior, and solve complex problems using data-driven approaches.

What are the key skills and qualifications needed to thrive as a data analyst in data science?

To thrive as a Data Analyst in Data Science, 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, Python or R, and data visualization platforms such as Tableau or Power BI, along with industry-recognized certifications, is highly valued. Attention to detail, problem-solving abilities, and effective communication skills help you interpret data insights and convey findings to stakeholders. These skills are crucial for transforming raw data into actionable intelligence that drives strategic business decisions.

How do data analysts in data science typically collaborate with other departments or teams?

Data Analysts in Data Science frequently work cross-functionally, partnering with teams such as engineering, product management, marketing, and business intelligence. They translate complex data findings into actionable insights and tailor their communication to both technical and non-technical stakeholders. Regular collaboration may involve participating in meetings to understand business needs, designing dashboards for different teams, and providing data-driven recommendations to support company objectives. This collaborative environment not only enhances project outcomes but also fosters continuous learning and professional growth.

What is the difference between Data Analyst Data Science vs Data Engineer?

AspectData Analyst Data ScienceData Engineer
Required SkillsStatistics, programming (Python, R), data visualizationDatabase systems, ETL pipelines, programming (Python, Java)
Work EnvironmentAnalyzing data, building models, reportingBuilding and maintaining data infrastructure
CertificationsData Science certifications, SQL, PythonCloud certifications, database management
Industry UsageBusiness analysis, predictive modelingData infrastructure, big data systems

Data Analyst Data Science focuses on analyzing data and creating models to inform decisions, while Data Engineers build the systems that collect, store, and process data. Both roles require programming skills and often overlap in tools like Python and SQL, but their core responsibilities differ significantly.

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

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

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

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

Infographic showing various Data Analyst Data Science job openings in Ohio as of August 2026, with employment types broken down into 1% As Needed, 88% Full Time, 9% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $75,263 per year, or $36.2 per hour.

Data Science Manager

Dayton, OH • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 26 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 · 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