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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 ...

GCP Cloud Analytics Engineer

Cincinnati, OH ยท On-site

$53.50 - $71.50/hr

GCP Cloud Analytics Data-driven organizations need modern cloud analytics solutions that turn ... and Python * 1+ years of experience leading workstreams within technology engagements with ...

Fraud Risk Analytics Manager

Mason, OH ยท Hybrid

$106K - $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 ยท Hybrid

$106K - $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 ยท Hybrid

$106K - $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 ยท Hybrid

$106K - $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

Showing results 21-40

Python Analytics information

See Cincinnati, OH salary details

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How much do python analytics jobs pay per hour?

As of Aug 6, 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?

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.

Which Python Analytics job is in demand?

Python Analytics roles such as Data Analyst, Data Scientist, and Business Intelligence Analyst are currently in high demand across various industries. These positions typically require proficiency in Python, data visualization, and statistical analysis, with skills in tools like Pandas, NumPy, and machine learning frameworks increasing employability.

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.

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.

Is Python good for data analytics?

Python is widely used in data analytics roles due to its extensive libraries such as Pandas, NumPy, and Matplotlib, which facilitate data manipulation, analysis, and visualization. Its simplicity and versatility make it a preferred language for data analysts and data scientists, often complemented by skills in SQL and data modeling. Proficiency in Python can enhance job prospects in data analytics positions.
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:
Infographic showing various Python Analytics job openings in Cincinnati, OH as of August 2026, with employment types broken down into 1% Internship, 92% Full Time, 3% Part Time, and 4% 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

Citizens

Cincinnati, OH โ€ข Hybrid

$110K - $145K/yr

Other

Medical, Dental, Vision, Retirement, PTO

Re-posted 11 days ago


Job description

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

Some job boards have started using jobseeker-reported data to estimate salary ranges for roles. If you apply and qualify for this role, a recruiter will discuss accurate pay guidance.

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.

Education:Why Work for UsEmployment Type: 1ST