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Python Data Analyst Jobs in Cleveland, OH (NOW HIRING)

Senior Sales Analyst

Westlake, OH · On-site

$79K - $100K/yr

The Senior Sales Analyst will interact with other teams to form a data-driven culture leveraging ... Proficiency in scripting languages such as Python or R. * Expertise in data visualization ...

Analyst

Cleveland, OH · On-site

$90K - $110K/yr

The role offers the chance to influence data pipeline standards, strengthen platform capabilities ... Proficiency in at least one programming language, such as Python, Go, or Javascript, along with ...

... analysis. Responsibilities: · Develop and maintain robust Python scripts to interact with Azure ... data preprocessing, prompt engineering, and performance tuning. · Excellent problem-solving and ...

Data Engineer (Remote)

Cleveland, OH · Remote

$111K - $133K/yr

... analytical needs evolve * Ensure data reliability, consistency, and availability for downstream consumers * Support and extend API integration workflows built with Boomi and Python * Maintain and ...

Data Engineer

Cleveland, OH · On-site

$110K - $133K/yr

The ideal candidate will work closely with data analysts, data scientists, and software engineers ... Python, Java, or Scala programming experience. * Experience with ETL/ELT tools. * Knowledge of data ...

New

Experience with enterprise data environments and federated analytics models (preferred) Licenses and Certifications * Training or certification in SQL, Python, Tableau, PowerBI, BigQuery, or other ...

Experience with enterprise data environments and federated analytics models (preferred) Licenses and Certifications * Training or certification in SQL, Python, Tableau, PowerBI, BigQuery, or other ...

Showing results 21-40

Python Data Analyst information

See Cleveland, OH salary details

$33K

$80.1K

$131.9K

How much do python data analyst jobs pay per year?

As of Aug 6, 2026, the average yearly pay for python data analyst in Cleveland, OH is $80,147.00, according to ZipRecruiter salary data. Most workers in this role earn between $60,600.00 and $94,100.00 per year, depending on experience, location, and employer.

What does a Python data analyst do?

A Python Data Analyst leverages the Python programming language to collect, process, and analyze large sets of data. They use tools and libraries like Pandas, NumPy, and Matplotlib to clean data, perform statistical analysis, and create visualizations that help organizations make data-driven decisions. Their role often involves extracting insights from complex datasets, automating data workflows, and communicating findings to stakeholders through reports or dashboards. Python Data Analysts play a crucial part in turning raw data into actionable business intelligence.

How do Python data analysts typically collaborate with other departments within an organization?

Python Data Analysts often work closely with teams such as marketing, finance, and product development to provide data-driven insights that inform business decisions. They regularly participate in cross-functional meetings to understand departmental objectives, gather requirements for data analysis, and present their findings in an accessible manner. Effective communication and the ability to translate technical results into actionable recommendations are essential, as analysts often act as a bridge between technical data and non-technical stakeholders.

What is the difference between Python Data Analyst vs Data Scientist?

AspectPython Data AnalystData Scientist
Required SkillsPython, SQL, data visualization, statistical analysisPython, R, machine learning, statistical modeling
Work EnvironmentBusiness analytics, reporting, data cleaningAdvanced modeling, predictive analytics, research
Industry UsageFinance, marketing, healthcare, retailTech, finance, research, AI development

While both roles require Python and data analysis skills, Data Scientists typically engage in more complex modeling and machine learning, whereas Python Data Analysts focus on data cleaning, visualization, and reporting to support business decisions.

What does a Python data analyst do?

As a Python data analyst, you use the Python programming language to develop tools for data mining, analysis, and data visualization. You typically develop a script to meet the specific data needs of your client or employer. Then, you test your code and perform debugging duties before deploying it in a live environment. Some data analysts also have algorithm creation responsibilities. In this case, after creating and testing an algorithm, you use Python with your algorithm to interpret data. You also develop reports to show to your clients or employers, and you may code a web app or interface that clients can use to visualize data sets.

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

To thrive as a Python Data Analyst, you need strong analytical skills, a solid grasp of statistics, and proficiency in Python programming, often supported by a degree in data science, mathematics, or a related field. Familiarity with data analysis libraries like pandas and NumPy, visualization tools such as Matplotlib or Seaborn, and experience with data querying languages like SQL are typically required. Attention to detail, critical thinking, and effective communication help you derive insights and present findings clearly to stakeholders. These skills and qualities are vital for transforming raw data into actionable business intelligence and supporting data-driven decision-making.

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.

What are 10 careers related to Python Data Analyst?

Careers related to a Python Data Analyst include Data Scientist, Business Intelligence Analyst, Data Engineer, Data Architect, Quantitative Analyst, Machine Learning Engineer, Data Consultant, Data Operations Manager, Data Warehouse Developer, and Research Analyst. These roles often require skills in programming, data visualization, and statistical analysis, and may involve working with tools like SQL, Tableau, or cloud platforms.

What is the salary of a Python Data Analyst?

The salary of a Python Data Analyst typically ranges from $60,000 to $100,000 annually, depending on experience, location, and industry. Professionals with strong skills in Python, data visualization, and statistical analysis tend to earn higher salaries, especially in tech hubs or large organizations.
What are the most commonly searched types of Python Data Analyst jobs in Cleveland, OH? The most popular types of Python Data Analyst jobs in Cleveland, OH are:
What are popular job titles related to Python Data Analyst jobs in Cleveland, OH? For Python Data Analyst jobs in Cleveland, OH, the most frequently searched job titles are:
What job categories do people searching Python Data Analyst jobs in Cleveland, OH look for? The top searched job categories for Python Data Analyst jobs in Cleveland, OH are:
Infographic showing various Python Data Analyst job openings in Cleveland, OH as of August 2026, with employment types broken down into 83% Full Time, and 17% Temporary. Highlights an 84% In-person, 8% Hybrid, and 8% Remote job distribution, with an average salary of $80,147 per year, or $38.5 per hour.

Portfolio Analytics & Strategy Analyst Senior - Decision Science

PNC Bank

Brecksville, OH

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 13 days ago


PNC Bank rating

7.7

Company rating: 7.7 out of 10

Based on 343 frontline employees who took The Breakroom Quiz

93rd of 170 rated banks


Job description

Position OverviewAt PNC, our people are our greatest differentiator and competitive advantage in the markets we serve. We are all united in delivering the best experience for our customers. We work together each day to foster an inclusive workplace culture where all of our employees feel respected, valued and have an opportunity to contribute to the company's success. As a Portfolio Analytics & Strategy Analyst Senior within PNC's Decision Science organization, you will be based in Pittsburgh, PA; Cleveland, Brecksville, or Strongsville, OH.
Key Responsibilities:
Monitor and analyze performance of lending portfolios across multiple consumer and lending products.
Develop and maintain analytical solutions using SQL and Python to support portfolio management, strategy development, and decision science initiatives.
Query, validate, and analyze data from enterprise databases to identify trends, opportunities, and emerging risks.
Evaluate portfolio performance metrics, customer behavior, credit trends, and bad debt outcomes.
Support sales, lending, collections, and recovery strategy analysis through data-driven insights.
Partner with Product, Risk, Technology, and Operations teams to understand business objectives and deliver analytical recommendations.
Design and automate recurring reports, dashboards, and monitoring processes.
Present analytical findings and recommendations to business leaders and cross-functional stakeholders.
Participate in portfolio reviews and strategic discussions supporting business growth and risk management objectives.
Contribute to process improvements, automation initiatives, and analytical best practices across the portfolio management organization.
Required Qualifications:
Bachelor's degree in Data Science, Statistics, Mathematics, Economics, Finance, Analytics, Computer Science, or a related quantitative field.
1-2 years of relevant analytics experience or completion of an MBA or related graduate degree.
Strong hands-on experience with SQL
Writing complex queries
Joins, aggregations, subqueries, and data validation
Understanding relational databases and data structures
Strong programming/coding experience with Python: data analysis and manipulation, data structures, and automation and reporting
Experience analyzing large datasets and developing business insights.
Utilize project management and collaboration tools such as JIRA and Confluence to document requirements, track initiatives, and communicate project progress
Strong analytical and problem-solving skills.
Excellent communication and presentation skills with the ability to explain technical concepts to non-technical audiences.
Ability to collaborate effectively across Product, Risk, Technology, and Operations teams.
Proficiency with Microsoft Excel.
Preferred Qualifications:
Experience with Tableau and/or Power BI.
Experience supporting lending, credit, portfolio management, collections, or recovery strategies.
Knowledge of consumer or commercial lending portfolios.
Experience developing or monitoring: Statistical models, Predictive models, and/or Machine learning models
Experience with Generative AI applications and analytics use cases.
Familiarity with model performance monitoring and analytical testing methodologies.
Understanding of risk management and debt analysis.PNC is an in-office company that fosters a supportive culture where employees can thrive and achieve balance. We encourage candidates to connect with their recruiter and hiring manager to understand workplace expectations and ensure the role aligns with their goals.PNC will not provide sponsorship for employment visas or participate in STEM OPT for this position.Job Description
  • Provides financial and regulatory reporting and analyses to maintain adequate controls over the financial and regulatory reporting processes. Responsible for running complex business performance, risk and operational analytics. May include the development of analytical methods/models to assess market, credit and/or operational risk of new and existing financial products.
  • Leverages business / product expertise to rigorously analyze large datasets, improve risk adjusted returns, deliver profitable growth, and communicate conclusions. Synthesizes analytical results and develops, recommends, and implements business strategies that improve lending decisions, assist in managing risk, increase revenues, reduce exposure to losses, meet business goals, and improve performance. Establishes baselines for strategies and tracks actual performance to expectations.
  • Applies predictive models, third party data, and other tools to develop and execute appropriate segmentation and targeting for acquisition and portfolio strategies to provide insight into portfolio risk. Manages engagements with internal and external information suppliers ensuring solution is fit for purpose while maintaining appropriate governance and oversight.
  • Works with business, credit, data, and model development partners to design, develop, and monitor test designs and analytical reporting to track and enhance strategies. Designs / enhances standard reporting suites for regular product / portfolio reviews.
  • Collaborates with the line of business, Finance, and Risk partners to assess and establish credit risk appetite and to understand its implications, as well as to establish policies and procedures governing the identification, monitoring, and management of risk appetite.

PNC Employees take pride in our reputation and to continue building upon that we expect our employees to be:

  • Customer Focused - Knowledgeable of the values and practices that align customer needs and satisfaction as primary considerations in all business decisions and able to leverage that information in creating customized customer solutions.
  • Managing Risk - Assessing and effectively managing all of the risks associated with their business objectives and activities to ensure they adhere to and support PNC's Enterprise Risk Management Framework.
Qualifications

Successful candidates must demonstrate appropriate knowledge, skills, and abilities for a role. Listed below are skills, competencies, work experience, education, and required certifications/licensures needed to be successful in this position.

Preferred SkillsAnalytical Thinking, Credit Risks, Data Analytics, Financial Analysis, Model Development, Operational Risks, Quantitative Models, Risk AppetiteCompetenciesAnalytical Approach, Banking Products, Big Data Management and Analytics, Business Analytics, Credit Risk, Mathematics of Financial Instruments, Operational Risk, Performance Measurement, Predictive Analytics, Pricing Models and Analytics, Regulatory Environment - Financial Services, Risk Management BankingWork ExperienceRoles at this level typically require a university / college degree, with 3+ years of relevant / direct industry experience. Certifications are often desired. In lieu of a degree, a comparable combination of education, job specific certification(s), and experience (including military service) may be considered.EducationBachelorsCertificationsNo Required Certification(s)LicensesNo Required License(s)Pay TransparencyBase Salary: $86,250.00 - $158,125.00Salaries may vary based on geographic location, market data and on individual skills, experience, and education. This role is incentive eligible with the payment based upon company, business and/or individual performance.Application WindowGenerally, this opening is expected to be posted for two business days from 07/24/2026, although it may be longer with business discretion.BenefitsPNC offers a comprehensive range of benefits to help meet your needs now and in the future. Depending on your eligibility, options for full-time employees include: medical/prescription drug coverage (with a Health Savings Account feature), dental and vision options; employee and spouse/child life insurance; short and long-term disability protection; 401(k) with PNC match, pension and stock purchase plans; dependent care reimbursement account; back-up child/elder care; adoption, surrogacy, and doula reimbursement; educational assistance, including select programs fully paid; a robust wellness program with financial incentives.In addition, PNC generally provides the following paid time off, depending on your eligibility: maternity and/or parental leave; up to 11 paid holidays each year; 9 occasional absence days each year, unless otherwise required by law; between 15 to 25 vacation days each year, depending on career level; and years of service.

To learn more about these and other programs, including benefits for full time and part-time employees, visitpncthrive.com.

Disability Accommodations Statement

If an accommodation is required to participate in the application process, please contact us via email at AccommodationRequest@pnc.com. Please include "accommodation request" in the subject line title and be sure to include your name, the job ID, and your preferred method of contact in the body of the email. Emails not related to accommodation requests will not receive responses. Applicants may also call 877-968-7762 and say "Workday" for accommodation assistance. All information provided will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.


At PNC we foster an inclusive and accessible workplace. We provide reasonable accommodations to employment applicants and qualified individuals with a disability who need an accommodation to perform the essential functions of their positions.

Equal Employment Opportunity (EEO)


PNC provides equal employment opportunity to qualified persons regardless of race, color, sex, religion, national origin, age, sexual orientation, gender identity, disability, veteran status, or other categories protected by law.

This position is subject to the requirements of Section 19 of the Federal Deposit Insurance Act (FDIA) and, for any registered role, the Secure and Fair Enforcement for Mortgage Licensing Act of 2008 (SAFE Act) and/or the Financial Industry Regulatory Authority (FINRA), which prohibit the hiring of individuals with certain criminal history.

California Residents

Refer to the California Consumer Privacy Act Privacy Notice to gain understanding of how PNC may use or disclose your personal information in our hiring practices.


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