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Data Analyst Computer Science Jobs in Cincinnati, OH

Hudson Manpower

Data Scientist

Cincinnati, OH · On-site

$55 - $60/hr

Strong analytical, communication, and problem-solving skills. * Bachelor's or Master's degree in Statistics, Economics, Data Science, Computer Science, Applied Mathematics, or related quantitative ...

CYNET SYSTEMS

Data Analyst Operations

Mason, OH · On-site

$42 - $47/hr

Serve as a Data Analyst on the Business Configuration team, responsible for the structure and ... We deliver agile, scalable talent solutions across IT, engineering, life sciences, clinical, and ...

Munich Re

Data Scientist

Cincinnati, OH · On-site +1

Join our dynamic, centralized Data Science team as we execute our AI/ML roadmap! We focus on ... Master's degree in Business Analytics, Statistics, Computer Science, or Statistics/Math and ...

Munich Re

Data Scientist

Amelia, OH · On-site

Join our dynamic, centralized Data Science team as we execute our AI/ML roadmap! We focus on ... Master's degree in Business Analytics, Statistics, Computer Science, or Statistics/Math and ...

Munich Re

Data Scientist

Amelia, OH · On-site +1

Join our dynamic, centralized Data Science team as we execute our AI/ML roadmap! We focus on ... Master's degree in Business Analytics, Statistics, Computer Science, or Statistics/Math and ...

CYNET SYSTEMS

EDI Data Analyst- Lead

Mason, OH · On-site

$21 - $26/hr

Strong analytical and problem-solving skills. * Comfortable working with electronic data files and ... We deliver agile, scalable talent solutions across IT, engineering, life sciences, clinical, and ...

Radiance Technologies, Inc.

Computer Scientist

Dayton, KY · On-site

$70 - $90/hr

Bachelor's degree in Computer Science, Software Engineering, Electrical Engineering, Physics ... Experience working with EO/IR sensor data and radiative transfer models. * Understanding of EO/IR ...

CPN Legal

Be Seen First

Data Solutions Analyst

Cincinnati, OH · On-site

$30 - $35/hr

CPN Legal is seeking a detail-oriented Reporting & Data Solutions Analyst to join our growing team ... Bachelor's degree in Computer Science, Software Development, Accounting, Finance, Business, or ...

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All JobsData Analyst Computer Science JobsData Analyst Computer Science Jobs in Cincinnati, OH

Data Analyst Computer Science information

See Cincinnati, OH salary details

$32.6K

$79.3K

$130.5K

How much do data analyst computer science jobs pay per year?

As of Sep 4, 2026, the average yearly pay for data analyst computer science in Cincinnati, OH is $79,291.00, according to ZipRecruiter salary data. Most workers in this role earn between $60,000.00 and $93,100.00 per year, depending on experience, location, and employer.

What is a data analyst in computer science?

A Data Analyst in Computer Science is a professional who collects, processes, and analyzes data to help organizations make informed decisions. They use various statistical tools and programming languages, such as Python, R, and SQL, to interpret complex datasets and identify trends or patterns. Their work often involves cleaning data, creating visualizations, and preparing reports for stakeholders. Data Analysts play a key role in turning raw data into actionable insights that drive business strategies.

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

To thrive as a Data Analyst in Computer Science, you need strong analytical skills, proficiency in statistics, and a relevant degree in computer science, mathematics, or a related field. Familiarity with data analysis tools such as SQL, Python, R, and data visualization platforms like Tableau or Power BI, as well as experience with database systems, are typically required. Attention to detail, problem-solving abilities, and effective communication help data analysts translate complex data into actionable insights for stakeholders. These skills are crucial for accurately interpreting data trends, supporting business decisions, and driving organizational growth.

How does a data analyst with a computer science background typically collaborate with other departments within a company?

Data Analysts with a computer science background often work closely with teams such as marketing, product development, and IT to translate raw data into actionable insights. They may participate in cross-functional meetings to understand business goals, provide data-driven recommendations, and help automate data collection processes. Strong communication skills are essential, as analysts must explain technical findings in a way that non-technical stakeholders can understand. This collaborative environment not only broadens their impact but also exposes them to various aspects of the business, fostering professional growth.

Can I be a data analyst with computer science?

Yes, a background in computer science provides a strong foundation for a data analyst role, as it covers programming, data structures, and problem-solving skills. Data analysts often use tools like SQL, Excel, and statistical software, and a knowledge of programming languages such as Python or R is beneficial for data manipulation and analysis.

What cities near Cincinnati, OH are hiring for Data Analyst Computer Science jobs?

Cities near Cincinnati, OH with the most Data Analyst Computer Science job openings:

Data Analyst Computer Science jobs near you
Infographic showing various Data Analyst Computer Science job openings in Cincinnati, OH as of July 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $79,291 per year, or $38.1 per hour.

Data Scientist

Hudson Manpower

Cincinnati, OH • On-site

$55 - $60/hr

Full-time

Posted 29 days ago

Job description

Job Summary
We are seeking an experienced Data Scientist to drive causal inference, experimentation, measurement, personalization, and applied AI initiatives. The ideal candidate will have hands-on experience applying causal inference and econometric techniques to measure business impact, build production-ready machine learning solutions, and translate analytical insights into measurable business outcomes. Experience with Generative AI is a plus but not the primary requirement.
Key Responsibilities
  • Design and implement causal inference and causal machine learning solutions.
  • Measure the impact of business treatments on customer behavior, revenue, retention, and engagement.
  • Apply statistical methods including:
    • Difference-in-Differences
    • Matching
    • Panel Data Models
    • CATE Estimation
    • Uplift Modeling
    • Heterogeneous Treatment Effect Modeling
  • Define treatments, control groups, counterfactuals, outcome metrics, and evaluation windows.
  • Build scalable, production-ready ML pipelines using software engineering and MLOps best practices.
  • Partner with business and product teams to convert business problems into scientific solutions.
  • Develop and integrate Generative AI solutions including RAG, prompt engineering, LLM workflows, fine-tuning, and agentic AI where applicable.
  • Evaluate emerging AI/ML technologies for production adoption.
  • Present technical findings and business impact to both technical and non-technical stakeholders.
  • Provide technical guidance and code reviews to team members.

Required Qualifications
  • 3+ years of applied Data Science experience.
  • Strong experience with causal inference, causal ML, econometrics, or experimentation.
  • Experience measuring treatment effects and incremental business impact.
  • Hands-on experience with:
    • Difference-in-Differences
    • Matching
    • CATE
    • Panel Data Analysis
    • Uplift Modeling
    • Heterogeneous Treatment Effects
  • Strong Python and SQL programming skills.
  • Experience with Git.
  • Experience developing production-quality ML or analytics solutions.
  • Strong analytical, communication, and problem-solving skills.
  • Bachelor's or Master's degree in Statistics, Economics, Data Science, Computer Science, Applied Mathematics, or related quantitative field.

Preferred Qualifications
  • Experience with Generative AI, RAG, Prompt Engineering, Fine-tuning, LLM Evaluation, or Agentic AI.
  • Experience with Azure, Databricks, or similar cloud platforms.
  • Experience with MLOps, deployment, orchestration, monitoring, and model lifecycle management.
  • Experience building experimentation platforms or measurement pipelines.
  • Retail, CPG, media, personalization, loyalty, or customer analytics experience.
  • Experience mentoring technical teams.

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