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Python Analytics Jobs in Cincinnati, OH (NOW HIRING)

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 ... Strong analytical, organizational, problem-solving, negotiation, and project management skills

Pwc

GenAI Python Systems Engineer-Manager

Cincinnati, OH · On-site

$99K - $232K/yr

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Manager & Summary ... Python and SQL - Experience with Docker and containerized deployments - Skilled in AI techniques ...

Keybank

Quant Analytics Mgr.

Cincinnati, OH

The Quantitative Analytics Manager leverages advanced mathematical knowledge, analysis ... Advanced Python/R/SAS: * Databases * Efficient coding * Can build strong code controls and ...

SEI

Data and Analytics Consultant

Cincinnati, OH · On-site

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 ...

Procter & Gamble

Data Analyst

Mason, OH · On-site +1

Proficiency in data analysis tools such as Python, R, SQL, and Excel * Knowledge of statistical methods and data modeling * Expertise in data cleaning and preprocessing techniques * Data ...

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 ...

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All JobsPython Analytics JobsPython Analytics Jobs in Cincinnati, OH

Python Analytics information

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$12

$56

$82

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 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 July 2026, with employment types broken down into 92% Full Time, 6% Part Time, and 2% Contract. Highlights an 83% Physical, 5% Hybrid, and 12% Remote job distribution, with an average salary of $116,991 per year, or $56.2 per hour.

Credit Risk Python Architect

US Bank

Cincinnati, OH • On-site

$111K - $131K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 15 days ago

U.S. Bank rating

8.2

Company rating: 8.2 out of 10

Based on 360 frontline employees who took The Breakroom Quiz

52nd of 170 rated banks

Job description

At U.S. Bank, we're on a journey to do our best. Helping the customers and businesses we serve to make better and smarter financial decisions and enabling the communities we support to grow and succeed. We believe it takes all of us to bring our shared ambition to life, and each person is unique in their potential. A career with U.S. Bank gives you a wide, ever-growing range of opportunities to discover what makes you thrive at every stage of your career. Try new things, learn new skills and discover what you excel at-all from Day One.

Job Description

Are you a data minded Python developer with a drive to understand the "why" in what you do?

Can you integrate independent technologies to build a cohesive system?

Do you get excited by developing new solutions to old problems?

The Credit Model Ops Orchestration and Solutions team is responsible for design and deployment of custom orchestration platforms designed to support Credit Risk Administration credit models, analytics, and reporting.

We are seeking a Python developer / solutions architect to drive forward our next-gen model production platform. If you can connect the dots between Pandas / Polars, FastAPI, Docker, and Kubernetes we want to talk to you.

Basic Qualifications

- Bachelor's degree in a quantitative field, and eight or more years of relevant experience
OR
- MA/MS in a quantitative field, and five or more years of related experience
OR
- PhD in a quantitative field, and four or more years of related experience

Ideal Experience

  • Dev-Ops

  • Managing containerized applications with Kubernetes, Docker, and Helm

  • Shell scripting

  • Git / Git-Ops

  • Database schema design

  • Apache Airflow

  • Model implementation / development / control design

  • SQL query development

  • Thorough data compilation, programming skills and qualitative analysis skills

  • Thorough knowledge of the quantitative and qualitative risk factors, industry risks, competition risks, and risk management approaches

  • Advanced understanding of applicable regulatory rules, guidance, or supervisory lettersAbility to manage multiple tasks across various timelines

  • Strong analytical, organizational, problem-solving, negotiation, and project management skills

  • Demonstrated independence, teamwork and leadership skills

  • Effective interpersonal, verbal and written communication skills

LOCATION EXPECTATIONS: This role requires working from a U.S. Bank Location three (3) or more days per week.

If there's anything we can do to accommodate a disability during any portion of the application or hiring process, please refer to ourdisability accommodations for applicants.

Benefits:

Our approach to benefits and total rewards considers our team members' whole selves and what may be needed to thrive in and outside work. That's why our benefits are designed to help you and your family boost your health, protect your financial security and give you peace of mind. Our benefits include the following:

  • Healthcare (medical, dental, vision)

  • Basic term and optional term life insurance

  • Short-term and long-term disability

  • Pregnancy disability and parental leave

  • 401(k) and employer-funded retirement plan

  • Paid vacation (from two to five weeks depending on salary grade and tenure)

  • Up to 11 paid holiday opportunities

  • Adoption assistance

  • Sick and Safe Leave accruals of one hour for every 30 worked, up to 80 hours per calendar year unless otherwise provided by law

Review our full benefits available by employment status here.

U.S. Bank is an equal opportunity employer. We consider all qualified applicants without regard to race, religion, color, sex, national origin, age, sexual orientation, gender identity, disability or veteran status, and other factors protected under applicable law.

E-Verify

U.S. Bank participates in the U.S. Department of Homeland Security E-Verify program in all facilities located in the United States and certain U.S. territories. The E-Verify program is an Internet-based employment eligibility verification system operated by the U.S. Citizenship and Immigration Services. Learn more about theE-Verify program.

The salary range reflects figures based on the primary location, which is listed first. The actual range for the role may differ based on the location of the role. In addition to salary, U.S. Bank offers a comprehensive benefits package, including incentive and recognition programs, equity stock purchase 401(k) contribution and pension (all benefits are subject to eligibility requirements). Pay Range: $111,605.00 - $131,300.00

U.S. Bank will consider qualified applicants with arrest or conviction records for employment. U.S. Bank conducts background checks consistent with applicable local laws, including the Los Angeles County Fair Chance Ordinance and the California Fair Chance Act as well as the San Francisco Fair Chance Ordinance. U.S. Bank is subject to, and conducts background checks consistent with the requirements of Section 19 of the Federal Deposit Insurance Act (FDIA). In addition, certain positions may also be subject to the requirements of FINRA, NMLS registration, Reg Z, Reg G, OFAC, the NFA, the FCPA, the Bank Secrecy Act, the SAFE Act, and/or federal guidelines applicable to an agreement, such as those related to ethics, safety, or operational procedures.

Applicants must be able to comply with U.S. Bank policies and procedures including the Code of Ethics and Business Conduct and related workplace conduct and safety policies.

Posting may be closed earlier due to high volume of applicants.

What U.S. Bank employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

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About U.S. Bank

Sourced by ZipRecruiter

U.S. Bank is a reputable and established financial institution that plays a significant role in the banking sector. With a history spanning over 150 years, U.S. Bank has built a strong foundation of trust and reliability. As a comprehensive bank, they offer a wide array of financial products and services to cater to the diverse needs of their customers, including individuals, businesses, and communities. Customer satisfaction is of utmost importance to U.S. Bank. They prioritize delivering exceptional service and fostering long-term relationships with their clients. Through their extensive network of branches and advanced digital banking platforms, U.S. Bank ensures convenient access to their services, empowering customers to manage their finances efficiently and securely.

Industry

Banking and credit intermediation

Company size

10,000+ Employees

Headquarters location

Minneapolis, MN, US

Year founded

1863

Social media

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