1

Python Analytics Jobs in Cincinnati, OH (NOW HIRING)

... Python and/or R * 3+ years leading large-scale analytics projects * 1+ year in a client-facing role including influencing business decisions (internal and/or client experience) * Ability and ...

... Python and/or R * 3+ years leading large-scale analytics projects * 1+ year in a client-facing role including influencing business decisions (internal and/or client experience) * Ability and ...

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 ...

[US] Data Analytics Associate

Mason, OH ยท Hybrid

$55K - $56K/yr

Experience with Python is an added advantage. * Extensive background in data mining and statistical analysis. * Able to understand various data structures and common methods in data transformation.

[US] Data Analytics Associate

Mason, OH ยท On-site

$55K - $56K/yr

Experience with Python is an added advantage. * Extensive background in data mining and statistical analysis. * Able to understand various data structures and common methods in data transformation.

[US] Data Analytics Associate

Mason, OH ยท On-site

$55K - $56K/yr

Experience with Python is an added advantage. * Extensive background in data mining and statistical analysis. * Able to understand various data structures and common methods in data transformation.

[US] Data Analytics Associate

Mason, OH ยท On-site

$55K - $56K/yr

Experience with Python is an added advantage. * Extensive background in data mining and statistical analysis. * Able to understand various data structures and common methods in data transformation.

Process Improvement Analyst

Erlanger, KY ยท On-site

$44 - $56/hr

Experience with data tools such as Snowflake, Power BI, Tableau, Python, or similar analytics platforms * Experience conducting time studies or labor standards development Day to Day: Industrial ...

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

next page

Showing results 1-20

Python Analytics information

See Cincinnati, OH salary details

$12

$56

$82

How much do python analytics jobs pay per hour?

As of Jul 16, 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 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 a high paying job?

Python analytics roles are generally well-paid due to the high demand for data analysis, machine learning, and automation skills. Salaries vary based on experience, location, and industry, but professionals with Python expertise often earn above average wages in the tech and finance sectors.

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 salary for Python data analytics?

The salary for Python data analytics roles typically ranges from $70,000 to $120,000 annually, depending on experience, location, and industry. Professionals with strong skills in data manipulation, machine learning, and tools like Pandas or NumPy tend to earn higher salaries.

What does a Python data analyst do?

A Python data analyst uses Python programming to collect, clean, analyze, and visualize data to support business decision-making. They often work with libraries like pandas, NumPy, and matplotlib, and may also perform statistical analysis or build data models. Strong problem-solving skills and knowledge of data management are essential for this role.

Is Python good for data analytics?

Python is widely used in data analytics roles due to its simplicity, extensive libraries like pandas, NumPy, and scikit-learn, and strong community support. It enables analysts to perform data manipulation, visualization, and machine learning tasks efficiently, making it a valuable skill for data analytics jobs.
Infographic showing various Python Analytics job openings in Cincinnati, OH as of July 2026, with employment types broken down into 1% Internship, 93% Full Time, 3% Part Time, and 3% Contract. Highlights an 79% Physical, 5% Hybrid, and 16% Remote job distribution, with an average salary of $116,991 per year, or $56.2 per hour.
Sr Credit Risk & Operations Analytics- Home Equity

Sr Credit Risk & Operations Analytics- Home Equity

Citizens

Cincinnati, OH โ€ข Hybrid

$110K - $145K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 20 days ago


Job description

The Credit Risk Professional will be a critical member of the Home Equity Credit Risk Team, generating the statistical analysis used to inform credit strategy. Will work with our data resources to formulate policy recommendations, communicate those recommendations to important stakeholders, and collaborate with diverse teams to see those recommendations implemented successfully. Will be expected to wear multiple hats, solving problems across the full credit lifecycle and will have the opportunity to take ownership of solutions and see them through to completion in a fast-paced, challenging environment.

Primary responsibilities include:

ย ย ย ย ย ย ย ย ย ย ย ย ย ย ย  Utilize analytical and technical skills to uncover insights, develop policy recommendations, and solve critical business problems.

ย ย ย ย ย ย ย ย ย ย ย ย ย ย ย  Work with proprietary Citizens data in conjunction with bureau data, property data and alternative data sources to shape credit risk strategy.

ย ย ย ย ย ย ย ย ย ย ย ย ย ย ย  Analyze portfolio trends and investigate emerging risks to drive optimization of credit policy in a constantly evolving landscape.

ย ย ย ย ย ย ย ย ย ย ย ย ย ย ย  Design statistical and mathematical models for reporting and predictive analytics.

ย ย ย ย ย ย ย ย ย ย ย ย ย ย ย  Develop, automate and deliver regular reports and communications to senior management.

ย ย ย ย ย ย ย ย ย ย ย ย ย ย ย  Communicate recommendations and insights to key stakeholders to influence decision making.

ย ย ย ย ย ย ย ย ย ย ย ย ย ย ย  Collaborate with diverse teams to see strategy proposals implemented successfully.

Qualifications:

ย ย ย ย ย ย ย ย ย ย ย ย ย ย ย  3+ years of Credit Risk experience - preferably real estate lending (mortgage and/or home equity).

ย ย ย ย ย ย ย ย ย ย ย ย ย ย ย  2+ years of relevant experience in a quantitative role utilizing statistical programing languages.

ย ย ย ย ย ย ย ย ย ย ย ย ย ย ย  2+ years Quantitative Skills - ability to develop and implement effective portfolio management routines that monitor key metrics, benchmark performance vs. peers, and identify emerging trends.ย 

ย ย ย ย ย ย ย ย ย ย ย ย ย ย ย  Expertise with one or more of the following technologies required: ย SQL, Python, R, Tableau.

ย ย ย ย ย ย ย ย ย ย ย ย ย ย ย  Ability to drive actionable outcomes from analytical insight and effectively communicate findings and recommendations to business leadership.

ย ย ย ย ย ย ย ย ย ย ย ย ย ย ย  Exceptional problem-solving acumen with ability to think strategically.ย 

ย ย ย ย ย ย ย ย ย ย ย ย ย ย ย  Time Management - ability to prioritize competing assignments and thrive in a fast-paced results orientated environment.

Education:

ย ย ย ย ย ย ย ย ย ย ย ย ย ย ย  Bachelor's degree in quantitative discipline required (Finance, Mathematics, Computer Science, Statistics, Engineering, etc.).ย 

ย ย ย ย ย ย ย ย ย ย ย ย ย ย ย  Masters/PhD in a quantitative discipline preferred.

Hours & Work Schedule

  • Hours per Week: 40
  • Work Schedule: Monday-Friday
  • Hybrid: 4 days per week onsite at a Citizens Corporate Office, 1 day remote

Pay Transparencyย 

The salary range for this position is $110,000 - $145000 per year, plus an opportunity to earn an annual discretionary bonus. Actual pay is based on various factors including but not limited to the work location, and relevant skills and experience.

We offer competitive pay, comprehensive medical, dental and vision coverage, retirement benefits, maternity/paternity leave, flexible work arrangements, education reimbursement, wellness programs and more. Note, Citizens' paid time off policy exceeds the mandatory, paid sick or paid time-away policy of every local and state jurisdiction in the United States. For an overview of our benefits, visit https://jobs.citizensbank.com/benefits .

#LinkedIn-Citizens1

Equal Employment Opportunity

Citizens, its parent, subsidiaries, and related companies (Citizens) provide equal employment and advancement opportunities to all colleagues and applicants for employment without regard to age, ancestry, color, citizenship, physical or mental disability, perceived disability or history or record of a disability, ethnicity, gender, gender identity or expression, genetic information, genetic characteristic, marital or domestic partner status, victim of domestic violence, family status/parenthood, medical condition, military or veteran status, national origin, pregnancy/childbirth/lactation, colleague's or a dependent's reproductive health decision making, race, religion, sex, sexual orientation, or any other category protected by federal, state and/or local laws. At Citizens, we are committed to fostering an inclusive culture that enables all colleagues to bring their best selves to work every day and everyone is expected to be treated with respect and professionalism. Employment decisions are based solely on merit, qualifications, performance and capability.

Equal Employment and Opportunity Employer

Job Applicant Data Privacy Policy

Background Check

Any offer of employment is conditioned upon the candidate successfully passing a background check, which may include initial credit, motor vehicle record, public record, prior employment verification, and criminal background checks. Results of the background check are individually reviewed based upon legal requirements imposed by our regulators and with consideration of the nature and gravity of the background history and the job offered. Any offer of employment will include further information.