ZipRecruiter

Log In

1

Data Analyst Data Science Jobs in Ohio (NOW HIRING)

centralins

Data Analyst

Van Wert, OH · Hybrid

Bachelor's degree in Computer Science or related field and 2 years of related experience * Or 4 ... Data Modeling experience * Strong analytical and problem-solving skills * Ability to set priorities ...

centralins

Data Analyst

Dublin, OH · Hybrid

Bachelor's degree in Computer Science or related field and 2 years of related experience * Or 4 ... Data Modeling experience * Strong analytical and problem-solving skills * Ability to set priorities ...

SAIC

Data Analyst - GEOINT Technical SME

Dayton, OH · Remote

$120K - $160K/yr

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 ...

Procter & Gamble

Data Scientist

Cincinnati, OH

$85K - $122K/yr

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

Procter & Gamble

Data Scientist

Cincinnati, OH

$85K - $122K/yr

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

Procter & Gamble

Data Scientist

Cincinnati, OH

$85K - $122K/yr

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

Procter & Gamble

Data Scientist

Cincinnati, OH

$85K - $122K/yr

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

Procter & Gamble

Data Scientist

Cincinnati, OH

$85K - $122K/yr

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

Procter & Gamble

Data Scientist

Cincinnati, OH

$85K - $122K/yr

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

Procter & Gamble

Data Scientist

Cincinnati, OH

$85K - $122K/yr

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

next page

Showing results 1-20

All JobsData Analyst Data Science JobsData Analyst Data Science Jobs in Ohio

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 Jun 14, 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.

Is 40 too late for data science?

Data analysts and data scientists can start their careers at any age, including 40 or older. Success in data science depends on acquiring relevant skills such as programming, statistics, and tools like Python or R, which can be learned at any stage of life. Many professionals transition into data roles later in their careers with dedication and continuous learning.

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 80 20 rule in data science?

In data science, the 80/20 rule, also known as the Pareto principle, suggests that roughly 80% of the results come from 20% of the efforts or data. Data analysts often use this concept to focus on the most impactful variables or features during analysis and modeling to improve efficiency and accuracy.

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.

Can data science work as a data analyst?

Data science and data analysis are related fields, but they have different focuses. Data scientists often develop models and algorithms using programming languages like Python or R, while data analysts primarily interpret data, generate reports, and use tools like Excel or SQL. Skills in statistical analysis, data visualization, and understanding business needs are essential for both roles, and some professionals transition between them based on experience and training.

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 are the key skills and qualifications needed to thrive as a Data Analyst in Data Science, and why are they important?

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.

Is AI replacing data analysts?

AI is transforming the role of data analysts by automating routine tasks such as data cleaning and basic analysis, allowing analysts to focus on more complex insights and strategic decision-making. While AI tools can augment their work, human expertise remains essential for interpreting results, understanding context, and communicating findings effectively. Data analysts who develop skills in machine learning, programming, and data visualization will continue to be valuable in the evolving data science environment.
What are popular job titles related to Data Analyst Data Science jobs in Ohio? For Data Analyst Data Science jobs in Ohio, the most frequently searched job titles are:
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:
Data Analyst Data Science jobs near you
Infographic showing various Data Analyst Data Science job openings in Ohio as of June 2026, with employment types broken down into 1% As Needed, 72% Full Time, 21% Part Time, and 6% Contract. Highlights an 82% Physical, 7% Hybrid, and 11% Remote job distribution, with an average salary of $75,263 per year, or $36.2 per hour.
Data Analyst - GEOINT Technical SME

Data Analyst - GEOINT Technical SME

Science Applications International Corporation

Dayton, OH • On-site

Full-time

Posted 11 days ago

SAIC rating

7.8

Company rating: 7.8 out of 10

Based on 78 frontline employees who took The Breakroom Quiz

71st of 204 rated it services

Job description

Job 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

About Us
SAIC® is a premier mission integrator focused on advancing the power of technology and innovation to serve and protect our world. Our robust portfolio of offerings across the defense, space, intelligence, and civilian markets includes secure high-end solutions in mission IT, enterprise IT, engineering services, and professional services. We integrate emerging technology, rapidly and securely, into mission critical operations that modernize and enable critical national imperatives.
We are approximately 23,000 strong; driven by mission, united by purpose, and inspired by opportunities. SAIC is an Equal Opportunity Employer. Headquartered in Reston, Virginia, SAIC has annual revenues of approximately $7.3 billion. For more information, visit saic.com. For ongoing news, please visit our newsroom.

What SAIC employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Apply