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Python Analytics Jobs in Cincinnati, OH (NOW HIRING)

AI/ML Engineer Co-Op

Cincinnati, OH · On-site +1

$16 - $21/hr

Experience with Python Preferred Qualification: * Experience with Software Development Lifecycle ... NLign Analytics is a rapidly growing aerospace and defense technology organization dedicated to ...

Fraud Risk Analytics Manager

Mason, OH · Hybrid

$105K - $130K/yr

Strong Python skills for data analysis, modeling, and pipeline development * Solid foundation in data science and statistical learning , including: * Classification and regression techniques

Fraud Risk Analytics Manager

Mason, OH · Hybrid

$105K - $130K/yr

Strong Python skills for data analysis, modeling, and pipeline development * Solid foundation in data science and statistical learning , including: * Classification and regression techniques

Experience and knowledge of programming and scripting languages, such as but not limited to Python ... Advanced Analytics and Data Visualizations * Extensive experience or knowledge of data ...

Python); * Analytical thinker with great attention to detail; * Ability to prioritize multiple projects and tasks within tight timelines; and * Excellent written and verbal communication skills.

Significant experience with data analysis software such as Python, R, or Matlab. * Experience solving analytical problems using quantitative approaches. * Experience with hypothesis testing - the ...

Significant experience with data analysis software such as Python, R, or Matlab. * Experience solving analytical problems using quantitative approaches. * Experience with hypothesis testing - the ...

Digital Analyst Internships

Covington, KY · On-site

$95.60K - $113.10K/yr

... like Google Analytics, PowerBI, Excel, and Looker Studio to extract actionable insights ... Basic programming or scripting experience in Python, SQL, or JavaScript * Experience with Sitecore ...

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Python Analytics information

See Cincinnati, OH salary details

$12

$56

$82

How much do python analytics jobs pay per hour?

As of Jun 4, 2026, the average hourly pay for python analytics 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.

What are the key skills and qualifications needed to thrive as a Python Analytics professional, and why are they important?

To thrive as a Python Analytics professional, you need a strong background in statistics, data analysis, and proficiency in Python programming, often supported by a degree in computer science, mathematics, or a related field. Familiarity with data analytics libraries (such as pandas, NumPy, and scikit-learn), data visualization tools, and experience with databases are typically required. Strong problem-solving, communication, and critical thinking skills help in interpreting data and conveying insights to stakeholders. These abilities are crucial for turning complex data into actionable business decisions and driving organizational success.

What are some typical challenges faced by professionals in Python Analytics roles, and how can I prepare for them?

Professionals in Python Analytics roles often encounter challenges such as handling large and complex datasets, ensuring data quality, and communicating insights effectively to non-technical stakeholders. To prepare, it's beneficial to strengthen your skills in data cleaning, visualization libraries (like Matplotlib or Seaborn), and learn best practices for writing efficient, reproducible code. Collaborating closely with data engineers, business analysts, and decision-makers is also a key part of the job, so developing strong communication and teamwork abilities will help you succeed.

What is a Python Analytics professional?

A Python Analytics professional is someone who uses the Python programming language to collect, process, analyze, and interpret data in order to help organizations make data-driven decisions. They often work with large datasets, perform statistical analyses, create data visualizations, and build predictive models. These professionals may work in industries such as finance, healthcare, marketing, or technology, and typically use libraries like Pandas, NumPy, and Matplotlib. Their work helps businesses gain insights, optimize processes, and solve complex problems through data.

What is the difference between Python Analytics vs Data Analyst?

AspectPython AnalyticsData Analyst
Required SkillsPython programming, data manipulation, statistical analysisExcel, SQL, basic statistics
CertificationsPython certifications, data analysis coursesNone typically required, but certifications like CAP or Microsoft certifications are common
Work EnvironmentData science teams, analytics departments, tech companiesBusiness units, marketing, finance, consulting firms
ToolsPython libraries (Pandas, NumPy, scikit-learn)Excel, SQL, Tableau, Power BI

Python Analytics involves using Python programming to perform advanced data analysis, modeling, and automation, often requiring coding skills. Data Analysts focus on interpreting data using tools like Excel and SQL, providing reports and insights. While both roles analyze data, Python Analytics typically involves more technical and programming expertise, making it suitable for complex data projects and predictive modeling.

Infographic showing various Python Analytics job openings in Cincinnati, OH as of May 2026, with employment types broken down into 95% Full Time, 4% Part Time, and 1% Contract. Highlights an 77% Physical, 6% Hybrid, and 17% Remote job distribution, with an average salary of $116,991 per year, or $56.2 per hour.
Dataiku Analyst/Developer[Onsite]- W2 ROLE

Dataiku Analyst/Developer[Onsite]- W2 ROLE

SmartIPlace

Cincinnati, OH • On-site

Contractor

Posted 18 days ago


Job description

Title: Dataiku Analyst/Developer

Location: Cincinnati,Ohio

Visa: USC or GC only

Duration: 12+ years

Skills' Details

• SQL (solid ability to write/optimize queries)
• Python for light scripting
• Working with Snowflake or similar cloud data warehouses
• Building automated data pipelines and using APIs when needed
• Basic data modeling / transformation logic

Secondary Skills - Nice to Haves

  • API endpoints
  • Snowflake
  • python

Smart-iPlace logo

About Smart-iPlace

Sourced by ZipRecruiter

SMART-iPLACE provides innovative staffing and consulting solutions that help our clients achieve their business objectives. We can understand and support all areas of your IT systems from back-end infrastructure to front-end personal productivity. Our goal is create innovative IT solutions that enable your business to be more agile and competitive.

Industry

It services

Company size

51 - 200 Employees

Headquarters location

Irving, TX, US

Year founded

2021

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