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Data Analyst Data Science Jobs in Ohio (NOW HIRING)

Data Analyst

Dublin, OH · Hybrid

  • Medical

  • Retirement

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 ...

Data Scientist

Beavercreek, OH · On-site

$120 - $150/hr

Experience with data science and analytics toolsets (e.g. JupyterHub / Jupyter Notebooks, Apache Spark, MATLAB) * Knowledge of data modeling principles * Experience in knowledge extraction and ...

New

Experience with data science and analytics toolsets (e.g. JupyterHub / Jupyter Notebooks, Apache Spark, MATLAB) * Knowledge of data modeling principles * Experience in knowledge extraction and ...

Experience with data science and analytics toolsets (e.g. JupyterHub / Jupyter Notebooks, Apache Spark, MATLAB) * Knowledge of data modeling principles * Experience in knowledge extraction and ...

Data Science Manager

Dayton, OH · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

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 Analyst

Van Wert, OH · On-site

  • Medical

  • Retirement

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 ...

Data Analyst

Hilliard, OH

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Analyze data for the purpose of identifying data anomalies, drawing conclusions and determining ... Other relevant work experience may be substituted Qualifications BS in Statistics, Computer Science ...

Data Science Manager

Dayton, OH · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

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 and developing in cloud computing platforms ...

Data Analyst - GEOINT Technical SME

Fairborn, OH · On-site +1

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

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 ...

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

Data Analyst

Akron, OH

$79K - $139K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

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

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

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 ...

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 ...

Showing results 21-40

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 13, 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.

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 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 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?

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.

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, 84% Full Time, 9% Part Time, and 6% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $75,263 per year, or $36.2 per hour.

Full-time

Medical, Retirement

Re-posted 26 days ago


Job description

Location: Van Wert, OH; Dublin, OH
Work Model: Hybrid 
Position type: Full time - salary 

We’re a team of employees passionate about delivering best-in-class customer service and driving innovation in claims management. Integrity, relationships, and excellence are at the heart of everything we do.

Our employees fully utilize their talents and bring their best selves to work. We believe who you are is just as important as what you do!

Join Central Insurance as a Data Analyst where you will play a pivotal role in transforming data into meaningful insights that drive business decisions and regulatory reporting. In this role, you will partner closely across IT, Finance, Actuarial, and Analytics teams to ensure data accuracy, integrity, and reliability while helping the organization meet critical reporting requirements and strategic goals.

This is an opportunity for a curious, detailoriented professional who thrives on problem solving and continuous improvement. You will leverage advanced tools and analytical techniques to identify trends, surface insights, and influence data solutions, all while contributing to a culture that values data quality, collaboration, and innovation. 


Key Responsibilities of the Role

  • Prepare and submit regulatory reports accurately and on time
  • Ensure adherence to & reinforcement of delivery best practices
  • Actively engaged in the design and implementation of repeatable processes
  • Champion data quality, integrity, and reliability throughout the department by designing and promoting best practices
  • Partner with IT, data engineering, and other BI organizations to advance data & analytical capabilities throughout the enterprise
  • Analyze and validate financial data; identify trends, discrepancies, and anomalies
  • Track regulatory updates and adapt reporting processes accordingly
  • Maintain documentation of processes and support internal/external audits
  • Identify improvement opportunities in reporting systems and workflows
  • Assume department responsibility as the Data Steward ensuring the fitness of data elements
  • Collaborate regularly with IT, Analytics, Actuarial, Finance, and other Business units to ensure data is accurate
  • Display critical thinking and evaluation when researching and responding to inquiries and referrals
  • Develop and utilize BI solutions effectively (reports, analytics, data pulls, insights, etc.) 
  • Meet with stakeholders to understand needs and provide insights that help meet profit, growth, and expense goals
  • Guide & influence strategic data solutions


Required Qualifications

  • Bachelor’s degree in Computer Science or related field and 2 years of related experience
  • Or 4 years of related experience

Knowledge, Skills, and Abilities

  • Previous regulatory reporting or insurance experience
  • Working knowledge of Azure DevOps or other code repositories
  • Experience with object-oriented programming languages, such as Python
  • Advanced Alteryx expertise
  • Advanced SQL expertise
  • Data Modeling experience
  • Strong analytical and problem-solving skills
  • Ability to set priorities and plans to meet business goals and objectives
  • Ability to shift & balance strategic, high-level thinking with attention to detail
  • Ability to lead, motivate & influence without having formal authority
  • Ability to act as a thought leader with a focus on innovative & high-quality solutions
  • Ability to work both independently and in a team environment with internal /external customers
  • Ability to understand, design & implement end-to-end BI workflows
  • Strong organizational, planning & problem-solving skills
  • Strong communication & interpersonal skills
  • Ability to understand Central Insurance’s policies and processes


Total Rewards

Central establishes base pay based on several factors including labor market data and an evaluation of candidate qualifications relative to role requirements. Base pay is one component of a comprehensive total rewards package designed to support employees’ financial, health, career, and retirement objectives. Central provides extensive health and wellness benefits to promote flexibility, work-life balance, and long-term financial security. For more information, see Central Insurance Benefits