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Data Analyst Python Sql Jobs in Cincinnati, OH (NOW HIRING)

Judge Group, Inc.

Data Engineer Level 2

Cincinnati, OH · On-site

$60 - $70/hr

Strong proficiency in Python, SQL, and Git * Experience with Azure and Databricks, or comparable ... Experience in retail, CPG, media, or marketplace analytics * Demonstrated ability to informally ...

Huntington

Data Analyst III

Cincinnati, OH · On-site +1

$52K - $101K/yr

PowerBi and SQL * Strong proficiency with Microsoft Office Suite. * Advanced analytical and mathematical skills. * Excellent written and verbal communication skills. * Ability to multi task and work ...

Smart Data

Senior Data Engineer

Cincinnati, OH · On-site

$101K - $138K/yr

Will be responsible for Analysis, Design, Coding, Maintenance, and Implementation of applications ... NET, Python, VB.NET, SQL, KQL, PowerShell, TFS, Git, Azure Git. Bachelor of Technology in Computer ...

ClifyX

Azure Data Engineer (Python & AI/ML)

Cincinnati, OH · On-site

$111K - $134K/yr

... Analytics, Azure Data Lake Storage (ADLS Gen2) • Advanced proficiency in Python (data processing, scripting, automation) • Strong experience with SQL and data modeling concepts • Experience ...

Great American Insurance Group

Data Engineer

Cincinnati, OH · On-site +1

$109K - $131K/yr

Predictive Analytics is seeking a Data Engineer to join our Business Data and Analytics department ... Demonstrates proficiency in multiple programming languages (Python, SQL, R, etc.). * Experience ...

Great American Insurance Group

Data Engineer

Cincinnati, OH · On-site

$109K - $131K/yr

Predictive Analytics is seeking a Data Engineer to join our Business Data and Analytics department ... Demonstrates proficiency in multiple programming languages (Python, SQL, R, etc.). * Experience ...

CYNET SYSTEMS

Data Analytics

Mason, OH · On-site

$50 - $55/hr

Advanced expertise in SQL, including complex querying, optimization, indexing strategies, and ... Experience with Python for data analysis and automation. * Exposure to AI/ML-driven analytics ...

Summit Consulting

Data Engineer

Cincinnati, OH · On-site

$110 - $150/hr

Predictive Analytics is seeking a Data Engineer to join our Business Data and Analytics department ... Demonstrates proficiency in multiple programming languages (Python, SQL, R, etc.) * Experience with ...

ISDC GLOBAL

Data Science Trainer

Delhi, OH · On-site

... Python, SQL, Statistics & Machine Learning 🔹 Conduct practical sessions, assignments and real-time projects 🔹 Mentor students and develop industry-ready professionals 🔹 Prepare training ...

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All JobsData Analyst Python Sql JobsData Analyst Python Sql Jobs in Cincinnati, OH

Data Analyst Python Sql information

See Cincinnati, OH salary details

$32.6K

$79.3K

$130.5K

How much do data analyst python sql jobs pay per year?

As of Sep 6, 2026, the average yearly pay for data analyst python sql 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 Python SQL?

Data Analyst Python SQL jobs involve analyzing and interpreting data to help organizations make informed business decisions. These professionals use Python for data manipulation, automation, and visualization, and SQL for querying and managing data stored in relational databases. Typical tasks include data cleaning, building reports, extracting insights, and creating dashboards. Data Analysts often collaborate with other teams to understand data requirements and communicate findings through presentations or visualizations. Proficiency in both Python and SQL is essential for efficiently handling large data sets and solving complex analytical problems.

What are the key skills and qualifications needed to thrive as a data analyst with Python and SQL?

To thrive as a Data Analyst specializing in Python and SQL, you need strong analytical skills, statistical knowledge, and proficiency in data manipulation, typically supported by a relevant degree or certification. Expertise in Python for data analysis, SQL for database querying, and experience with visualization tools like Tableau or Power BI are commonly expected. Attention to detail, problem-solving abilities, and effective communication are crucial soft skills for interpreting data and presenting actionable insights. These skills help ensure accurate analysis, impactful reporting, and informed decision-making within organizations.

How does a data analyst using Python and SQL typically collaborate with other departments within an organization?

Data Analysts proficient in Python and SQL frequently work alongside teams such as marketing, product development, finance, and operations. They gather requirements from stakeholders, translate business questions into data queries, and present actionable insights through dashboards or reports. Regular meetings and clear communication are essential to ensure that data solutions align with business goals, and Data Analysts often act as a bridge between technical data teams and non-technical decision makers. This collaborative environment helps drive data-informed decisions across the organization.

What is the difference between Data Analyst Python Sql vs Data Scientist?

AspectData Analyst Python SqlData Scientist
Required SkillsExcel, SQL, Python basics, data visualizationAdvanced Python, machine learning, statistical modeling
Work EnvironmentBusiness intelligence, reporting, dashboardsPredictive modeling, research, complex data analysis
Industry UsageFinance, marketing, retail, healthcareTech, finance, research institutions, startups

While Data Analysts with Python and SQL focus on interpreting data, creating reports, and visualizations, Data Scientists build predictive models and perform advanced statistical analysis. Both roles require Python and SQL skills, but Data Scientists typically have a stronger background in statistics and machine learning, making their work more research-oriented.

What are popular job titles related to Data Analyst Python Sql jobs in Cincinnati, OH?

For Data Analyst Python Sql jobs in Cincinnati, OH, the most frequently searched job titles are:

What job categories do people searching Data Analyst Python Sql jobs in Cincinnati, OH look for?

The top searched job categories for Data Analyst Python Sql jobs in Cincinnati, OH are:

What cities near Cincinnati, OH are hiring for Data Analyst Python Sql jobs?

Cities near Cincinnati, OH with the most Data Analyst Python Sql job openings:

Data Analyst Python Sql jobs near you
Infographic showing various Data Analyst Python Sql job openings in Cincinnati, OH as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, and 4% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $79,291 per year, or $38.1 per hour.

Data Engineer Level 2

Judge Group, Inc.

Cincinnati, OH • On-site

$60 - $70/hr

Other

Re-posted 16 days ago

Job description

Location: Cincinnati, OH Salary: $60.00 USD Hourly - $70.00 USD Hourly Description: Our client is currently seeking a Data Engineer Level 2

Required Skills
  1. 3+ years of applied data science experience, with demonstrated progression in scope and technical complexity
  2. Hands-on experience with Generative AI applications, including one or more of: LLM fine-tuning, prompt engineering, RAG pipelines, or agentic workflow development
  3. Familiarity with causal ML and/or causal inference methods (e.g., CATE, heterogeneous treatment effect modeling, DiD, matching)
  4. Strong proficiency in Python, SQL, and Git
  5. Experience with Azure and Databricks, or comparable cloud-based data science platforms
  6. Experience contributing to production-quality ML systems using software engineering best practice
  7. Ability to partner with product managers and stakeholders to translate business needs into science solutions and roadmap priorities
  8. Strong oral and written communication skills, with the ability to translate between technical and business audiences
  9. Comfort with ambiguity-able to operate effectively in evolving problem spaces and contribute to early-stage vision and strategy

Preferred:
  1. Experience with MLOps practices including workflow orchestration, model monitoring, reproducibility, and deployment
  2. Experience in retail, CPG, media, or marketplace analytics
  3. Demonstrated ability to informally mentor or coach peers in technical best practices
  4. Familiarity with experimentation frameworks and measurement pipelines

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