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Full Time Python Data Analysis Jobs in Cincinnati, OH

US Bank

Credit Risk Python Architect

Cincinnati, OH · On-site

$111K - $131K/yr

We are seeking a Python developer / solutions architect to drive forward our next-gen model ... Thorough data compilation, programming skills and qualitative analysis skills * Thorough knowledge ...

EssilorLuxottica

Data & ML Engineer

Mason, OH · On-site

$107K - $129K/yr

A00090 Wholesale TA CSCLX Position : Full-Time Total Rewards: Benefits/Incentive Information If you ... Expertise in programming languages such as Python or Scala, experience with data processing ...

EssilorLuxottica Group

Data & ML Engineer

Mason, OH

$107K - $129K/yr

A00090 Wholesale TA CSCLX Position : Full-Time Total Rewards: Benefits/Incentive Information If you ... Expertise in programming languages such as Python or Scala, experience with data processing ...

Apidel Technologies

Data Engineer Level 2

Blue Ash, OH · On-site

$105K - $126K/yr

... Python, and cloud-based DataOps practices. The Data Engineer will analyze, design, and develop data products, pipelines, and information architecture deliverables, focusing on data as an enterprise ...

Medpace

Data Engineer

Cincinnati, OH · On-site

$111K - $134K/yr

... analytical, written and oral communication skills Preferred : • Knowledge of Snowflake cloud data warehouse, Fivetran data integration and dbt transformations is preferred • Knowledge of Python ...

Paychex

Data Solutions Engineer

Cincinnati, OH · On-site

$98K - $160K/yr

... analytics, machine learning, artificial intelligence, and large-scale data operations. The role ... Advanced Python Application Development - Hands-on experience developing enterprise-grade ...

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How much do full time python data analysis jobs pay per hour?

As of Jul 14, 2026, the average hourly pay for full time python data analysis in Cincinnati, OH is $56.25, according to ZipRecruiter salary data. Most workers in this role earn between $46.35 and $63.89 per hour, depending on experience, location, and employer.

Can I be a data analyst with just Python?

A data analyst role typically requires knowledge of multiple tools and skills, including SQL, Excel, and data visualization software, in addition to Python. While Python is a valuable skill for data analysis, relying solely on it may limit your ability to perform all necessary tasks effectively. Developing a broader skill set can improve job prospects and performance in data analysis roles.

What are some common challenges faced by Full Time Python Data Analysts and how can they be addressed?

Full Time Python Data Analysts often encounter challenges such as handling large, messy datasets and ensuring data accuracy. Navigating complex data sources or integrating data from multiple platforms can also be demanding. To address these challenges, analysts typically leverage robust Python libraries like pandas and NumPy for efficient data wrangling, and collaborate closely with data engineering teams to clarify requirements and resolve data discrepancies. Regular code reviews and adopting best practices in data validation help maintain data integrity and streamline analysis workflows.

Is 40 too late for data science?

Full Time Python Data Analysis roles often value skills and experience over age, and many professionals transition into data science later in their careers. Learning relevant tools like Python, SQL, and machine learning can help you enter the field regardless of age, and continuous education or certifications can improve your prospects.

What are the key skills and qualifications needed to thrive as a Full Time Python Data Analyst, and why are they important?

To thrive as a Full Time Python Data Analyst, you need strong analytical skills, proficiency in Python programming, and a solid understanding of statistics, typically supported by a relevant degree in computer science, mathematics, or a related field. Familiarity with data analysis libraries (such as pandas and NumPy), data visualization tools (like Matplotlib or Seaborn), and experience with SQL databases are commonly required. Attention to detail, problem-solving abilities, and effective communication skills distinguish top performers in this role. These skills and qualities are crucial for extracting actionable insights from data and effectively collaborating with stakeholders to inform business decisions.

What is the difference between Full Time Python Data Analysis vs Data Scientist?

AspectFull Time Python Data AnalysisData Scientist
Required CredentialsBachelor's in Data Analysis, Statistics, or related field; Python skillsBachelor's or higher in Data Science, Computer Science, or related; Python, R, ML certifications
Work EnvironmentCorporate, finance, marketing, or tech companies; data-focused teamsResearch labs, tech firms, finance, or healthcare; data modeling and research
Employer & Industry UsageCommon in industries needing data reporting and insightsUsed for predictive modeling, machine learning, and advanced analytics

Full Time Python Data Analysts focus on interpreting data and generating reports using Python, while Data Scientists develop models and algorithms for predictive analytics. Both roles require Python skills, but Data Scientists typically have more advanced statistical and machine learning expertise. The roles often overlap, but Data Scientists tend to work on more complex modeling tasks, whereas Data Analysts focus on data interpretation and visualization.

What is a Full Time Python Data Analysis job?

A Full Time Python Data Analysis job involves using the Python programming language to collect, clean, analyze, and visualize data in order to help organizations make data-driven decisions. Professionals in this role work with large data sets, utilize libraries like pandas and NumPy, and often create reports or dashboards to communicate their findings. They may collaborate with other teams to identify trends, solve business problems, and provide actionable insights based on the data.

Will AI replace a data analyst?

AI tools can automate routine data processing and basic analysis tasks, but data analysts are essential for interpreting complex data, making strategic decisions, and providing context. The role of a data analyst involves skills like critical thinking, domain knowledge, and communication that are not easily replaced by AI. Therefore, while AI may augment the work of data analysts, it is unlikely to fully replace them in the near future.
What are the most commonly searched types of Python Data Analysis jobs in Cincinnati, OH? The most popular types of Python Data Analysis jobs in Cincinnati, OH are:
Full Time Python Data Analysis jobs near you
Sr. Data Governance Analyst - Business Data & Analytics

Sr. Data Governance Analyst - Business Data & Analytics

Great American Insurance Group

Cincinnati, OH • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 8 days ago

Great American Insurance Group rating

8.8

Company rating: 8.8 out of 10

Based on 30 frontline employees who took The Breakroom Quiz

53rd of 281 rated insurance

Job description

Be Here. Be Great. Working for a leader in the insurance industry means opportunity for you. Great American Insurance Group's member companies are subsidiaries of American Financial Group. We combine a "small company" culture where your ideas will be heard with "big company" expertise to help you succeed. With over 30 specialty and property and casualty operations, there are always opportunities here to learn and grow.
At Great American, we value and recognize the benefits derived when people with different backgrounds and experiences work together to achieve business results. Our goal is to create a workplace where all employees feel included, empowered, and enabled to perform at their best.
Business Data & Analytics is seeking a Senior Data Governance Analyst to own and support multiple Enterprise Data Management initiatives that enable trusted, well governed data for enterprise decision making, analytics, and AI-driven use cases. This role partners with Business Units, Data Owners, Data Stewards, and technical teams to translate business needs into actionable governance outcomes, ensuring data is clearly defined, fit-for-purpose, and consumable for reporting, analytics, and AI.
Success in the role requires strong stakeholder engagement, the ability to operationalize governance outcomes, and a working understanding of how high quality, well governed data supports analytics and AI initiatives across the enterprise.
Primary Focus: AI Enabled Governance Outcomes
Deliver three AI-enabled governance outcomes:
  • Glossary automation - Accelerate creation and maintenance of business terms using Company-approved AI, with steward/owner review and accountability.
  • Metadata enrichment - Improve metadata completeness (ownership, definitions, relationships, key attributes) to increase discoverability and AI readiness.
  • Governed data lifecycle - Embed governance checkpoints for analytics/AI data (definitions/ownership, lineage, quality thresholds, usage constraints, responsible use).

Great American's culture is built on connection, shared learning, and strong relationships. To support this, employees in this role are expected to be on-site four days a week, with the flexibility to work one day remotely. Core in-office days are Tuesday-Thursday, with the fourth day determined by business needs.
Essential Job Functions & Responsibilities
  • Drive end-to-end governance framework and delivery across prioritized domains (glossary, data quality expectations, and catalog/metadata readiness).
  • Define and standardize business terms, definitions, and ownership; maintain the enterprise business glossary aligned to reporting and AI use.
  • Use AI to accelerate glossary and metadata workflows while ensuring required human review, approval, and accountability.
  • Establish and operationalize data quality rules/thresholds that support fit-for-purpose reporting, analytics, and AI.
  • Drive catalog readiness and metadata enrichment (definitions, relationships, ownership, usage constraints) with technical governance partners.
  • Partner with analytics/AI teams to ensure training datasets meet governance requirements before broader promotion.
  • Enable adoption through clear, business-friendly facilitation and communications that position governance as an accelerator.

Job Requirements
  • Bachelor's degree in Business Analytics, Information Systems, Computer Science, or related fields.
  • 6 or more years of Data Governance or related experience.
  • Strong facilitation and communication skills; able to drive alignment across diverse stakeholders.
  • Proven ability to prioritize, work independently, and deliver in a dynamic environment.
  • Strong understanding of governance concepts (data quality, metadata, lineage) and their impact on analytics/AI outcomes.
  • Experience with governance/catalog tools; experience managing glossary, terms, data standards is a plus.
  • Experience governing analytics, AI or ML datasets and partnering with analytics/data science teams is strongly preferred.
  • Strong analytical and problem-solving skills required.
  • Demonstrated ability to use Company-approved AI responsibly, prompting, and validating outputs and owning final deliverables.

What Success Looks Like
  • Stakeholders trust enterprise definitions and data quality for reporting, analytics, and AI.
  • Measurable progress on glossary automation, metadata enrichment, and governed training datasets.
  • Governance is experienced as an enabler of speed, insight, and innovation. Not a blocker.

Business Unit:
Business Data and Analytics
Benefits:
We offer competitive benefits packages for full-time and part-time employees*. Full-time employees have access to medical, dental, and vision coverage, wellness plans, parental leave, adoption assistance, and tuition reimbursement. Full-time and eligible part-time employees also enjoy Paid Time Off and paid holidays, a 401(k) plan with company match, an employee stock purchase plan, and commuter benefits.
Compensation varies by role, level, and location and is influenced by skills, experience, and business needs. Your recruiter will provide details about benefits and specific compensation ranges during the hiring process. Learn more at http://www.gaig.com/careers.
*Excludes seasonal employees and interns.

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