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Python Analytics Jobs in Cincinnati, OH (NOW HIRING)

Synchrony

VP, Verizon Analytics Leader

Cincinnati, OH · On-site +1

Python is desirable. * 5+ years leading large-scale analytics projects * 3+ years of client facing experience, including influencing business decisions with stakeholders and business leaders ...

Varsity Tutors

Business Analytics Tutor

Cincinnati, OH · Remote

$18 - $40/hr

Adapts instruction using Excel, Tableau, Python, or R with real business data sets and case studies to support undergraduate and MBA students developing analytical capabilities for modern business ...

Golden Technology

Manager of Data Analytics

Mason, OH · On-site

SQL, MYSQL, Python, Excel, MS Office Suite * Data Management Experience Preferred * SAP, Tableau * Smartsheet, Power BI, Alteryx(ETL tool) * Six Sigma - Green Belt or above * Supply Chain Analyst ...

Georgia IT Inc

Analytics Architect-Milford, OH

Milford, OH · On-site

$55.50 - $71.25/hr

... Python, Mlib, R, libSVM, Weka etc. working with large varied data sets * 5+ years of experience working with large scale data warehousing and analytic databases for data mining and pattern ...

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All JobsPython Analytics JobsPython Analytics Jobs in Cincinnati, OH

Python Analytics information

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$12

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How much do python analytics jobs pay per hour?

As of Jun 24, 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 is the salary of a Python analyst?

The salary of a Python analyst typically ranges from $60,000 to $110,000 annually, depending on experience, location, and industry. Professionals with strong skills in data analysis, machine learning, and proficiency in tools like Pandas and Jupyter Notebook tend to earn higher salaries.

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.

Is Python good for data analysts?

Python is widely used by data analysts due to its simplicity, extensive libraries like pandas and NumPy, and strong community support. It enables efficient data manipulation, analysis, and visualization, making it a valuable skill for the role.

Can I be a data analyst in 3 months?

Becoming a data analyst with a focus on Python typically requires several months of dedicated learning, including skills in data manipulation, visualization, and tools like pandas and SQL. While some individuals may acquire foundational skills in three months, gaining proficiency for a professional role usually takes longer and depends on prior experience and learning pace.

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.

Is Python still in demand?

Python analytics roles remain highly in demand due to Python's versatility in data analysis, machine learning, and automation. Employers seek professionals skilled in libraries like Pandas, NumPy, and frameworks such as TensorFlow, often requiring proficiency in data visualization and scripting. Staying updated with Python versions and related tools enhances job prospects in this field.

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 are popular job titles related to Python Analytics jobs in Cincinnati, OH? For Python Analytics jobs in Cincinnati, OH, the most frequently searched job titles are:
What job categories do people searching Python Analytics jobs in Cincinnati, OH look for? The top searched job categories for Python Analytics jobs in Cincinnati, OH are:
Python Analytics jobs near you
Infographic showing various Python Analytics job openings in Cincinnati, OH as of June 2026, with employment types broken down into 94% Full Time, 3% Part Time, and 3% Contract. Highlights an 80% Physical, 6% Hybrid, and 14% Remote job distribution, with an average salary of $116,991 per year, or $56.2 per hour.
Senior Analyst, Reporting & Analytics (Data Governance)

Senior Analyst, Reporting & Analytics (Data Governance)

Molina Healthcare

Cincinnati, OH • On-site

$83K - $141K/yr

Full-time

Posted 28 days ago

Molina Healthcare rating

8.0

Company rating: 8.0 out of 10

Based on 192 frontline employees who took The Breakroom Quiz

145th of 261 rated insurance

Job description

JOB DESCRIPTION

Job Summary

Sr Analyst (Data Governance) is responsible for the overall development, maintenance, and integrity of various reporting database. You will be responsible for testing, reviewing SQL queries, stored procedures and facilitating code reviews for improving and maintaining new and existing datasets. You will be required to collaboratively work with other infrastructure and business stakeholders to adhere to data governance and ensure system integrity.

Job Duties

  • Responsible for integrity of data as utilized by the department
  • Develops framework for the automation of data processes across platforms.
  • Prepares data for use in reporting and business intelligence systems for internal and external stakeholders
  • Creates policies and procedures documenting the technical and business criteria underlying the use of data by the department
  • Ensures the propagation of Molina data management process for the department across functional units. This includes the collection of data, the sharing of data, and utilization of data across teams.
  • Conduct periodic code review
  • Ensure all database programs meet company and performance requirements
  • Keep abreast of new technology to keep our platform current
  • Conduct data analysis, Gap analysis, Root cause analysis and provide recommendations based on findings.

Job Qualifications

REQUIRED EDUCATION:

Bachelor of Science (BSc) degree in Computer Science or relevant field. 4-5 years working in Data Development in in lieu of degree.

REQUIRED EXPERIENCE/KNOWLEDGE, SKILLS & ABILITIES:

  • Minimum of 2 years hands on experience with SQL and database development, one of the BI analytics tool (Power BI, Tableau etc.), MS Azure, Datalake, Databricks
  • Minimum 2 years hands on experience using SSIS and SSRS.
  • Knowledge of software development and application program interface.
  • Ability to understand users' requirements and a strong problem-solving skillset.

PREFERRED EDUCATION:

Master of Science (MSc) degree in Computer Science or System Analysis.

JOB PROFILE

PREFERRED EXPERIENCE:

  • Minimum of 5 years hands on experience with SQL and database development.
  • Experience working in a Medicare environment is highly preferred.
  • Experience working with  Python is highly preferred.

To all current Molina employees: If you are interested in applying for this position, please apply through the intranet job listing.

Molina Healthcare offers a competitive benefits and compensation package. Molina Healthcare is an Equal Opportunity Employer (EOE) M/F/D/V.

Pay Range: $83,252 - $141,371 / ANNUAL
*Actual compensation may vary from posting based on geographic location, work experience, education and/or skill level.

Employment Type: Full Time

What Molina Healthcare employees say

Pay

Benefits

Hours and flexibility

Workplace

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About Molina Healthcare

Sourced by ZipRecruiter

Molina Healthcare is a nationwide fortune 500 organization with a mission to provide quality healthcare to people receiving government assistance. If you are seeking a meaningful opportunity in a team-oriented environment, come be a part of a highly engaged workforce dedicated to our mission. Bring your passion and talents and together we can make a difference in the lives of others.

Industry

Health care and social assistance

Company size

10,000+ Employees

Headquarters location

Long Beach, CA, US

Year founded

1980

Social media

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