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Senior Python Data Analysis Jobs in Ohio (NOW HIRING)

Conduct rigorous statistical analysis, validate hypotheses, and provide actionable insights to ... Expert proficiency in a scripting language such as Python, including Python data libraries (numpy ...

Senior Sales Analyst

Westlake, OH

$79K - $100K/yr

Strategic Data Analysis & Insights: * Lead the design, development, and optimization of complex ... Proficiency in scripting languages such as Python or R. * Expertise in data visualization ...

New

... Python, Data Robot, and SAS. • Experience using BI Tools; preferably Tableau • Experience using SQL; preferably Postgres SQL and T-SQL • 3 years leading agile project delivery for analytical ...

Python Developer

Strongsville, OH · On-site

$46.25 - $64/hr

Data Analysis/Machine Learning: Utilizing Python libraries like Pandas, NumPy, and Scikit-learn for data analysis and machine learning tasks. * Testing: Implementing test-driven development and ...

Sr Business Data Analyst

Westerville, OH · On-site

$70K - $115K/yr

The Sr Business Data Analyst role has a national salary range of $70,000 - $115,000. For roles ... Apply Python, R, or other analytics tools to enhance reporting and automation * Stay current with ...

Sr Business Data Analyst

Westerville, OH · On-site

$70K - $115K/yr

The Sr Business Data Analyst role has a national salary range of $70,000 - $115,000. For roles ... Apply Python, R, or other analytics tools to enhance reporting and automation * Stay current with ...

Sr Business Data Analyst

Westerville, OH · On-site +1

$70K - $115K/yr

The Sr Business Data Analyst role has a national salary range of $70,000 - $115,000. For roles ... Apply Python, R, or other analytics tools to enhance reporting and automation * Stay current with ...

Sr Business Data Analyst

Westerville, OH · On-site

$70K - $115K/yr

The Sr Business Data Analyst role has a national salary range of $70,000 - $115,000. For roles ... Apply Python, R, or other analytics tools to enhance reporting and automation * Stay current with ...

Sr. Research/Data Analyst

Fairborn, OH

$81K - $102K/yr

... Python, VBA. * Participate in study teams; originate new ideas, projects, and methodologies; and ... Qualifications 15+ years experience in research and data analysis including at least 5 years ...

Sr. Research/Data Analyst

Fairborn, OH · On-site

$81K - $102K/yr

... Python, VBA. * Participate in study teams; originate new ideas, projects, and methodologies; and ... Qualifications 15+ years experience in research and data analysis including at least 5 years ...

Sr. Research/Data Analyst

Fairborn, OH · On-site

$81K - $102K/yr

... Python, VBA. * Participate in study teams; originate new ideas, projects, and methodologies; and ... data analysis including at least 5 years working in a DoD environment. Bachelor's degree in a ...

Must be entering or currently in junior or senior year of undergraduate studies at the time of the ... Data, Co-op, Dayton, Ohio, SQL, Python, Data engineering, Data analytics, Data science

SENIOR DATA ARCHITECT - DIGITAL HEALTH

Dayton, OH · On-site +1

$65.25 - $87.50/hr

Premier Health is looking for an experienced Senior Data Architect to enrich our team. This role ... Proficiency in SQL, data analysis, and programming (Python/Scala) * Experience with Azure ecosystem ...

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 ...

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Senior Python Data Analysis information

What are the key skills and qualifications needed to thrive as a Senior Python Data Analyst, and why are they important?

To thrive as a Senior Python Data Analyst, you need an in-depth understanding of data analysis, statistical modeling, and advanced Python programming, typically supported by a degree in a quantitative field. Proficiency with data analysis libraries (like pandas, NumPy, and SciPy), visualization tools (such as Matplotlib and Seaborn), and experience with SQL databases are essential, and certifications like Microsoft Certified: Data Analyst Associate can be beneficial. Strong problem-solving abilities, effective communication, and the capacity to distill complex data insights for stakeholders are critical soft skills. These competencies enable you to extract actionable insights from large datasets, drive data-informed decision-making, and collaborate effectively across teams.

What is the difference between Senior Python Data Analysis vs Data Scientist?

AspectSenior Python Data AnalysisData Scientist
Required SkillsPython, SQL, data visualization, statistical analysisPython, R, machine learning, statistical modeling
Work EnvironmentData analysis teams, business unitsResearch, product development, analytics teams
Industry UsageBusiness intelligence, finance, marketingTech, healthcare, finance, research
CertificationsPython certifications, data analysis coursesData science certifications, machine learning courses

While both roles involve Python and data handling, Senior Python Data Analysts focus on interpreting data and creating reports for business decisions, whereas Data Scientists develop predictive models and advanced algorithms to extract deeper insights. The roles often overlap, but Data Scientists typically require broader skills in machine learning and statistical modeling.

What are some common challenges Senior Python Data Analysts face when working with large datasets, and how can they overcome them?

Senior Python Data Analysts often encounter difficulties such as slow processing speeds, memory limitations, and data quality issues when handling large datasets. To overcome these challenges, it's essential to leverage efficient libraries like pandas and Dask, utilize optimized data formats (such as Parquet), and implement batch processing or cloud-based solutions. Collaborating closely with data engineers and IT teams also helps ensure robust data pipelines and infrastructure. Regular code optimization and staying updated on best practices can further enhance performance when working at scale.

What is a Senior Python Data Analyst?

A Senior Python Data Analyst is an experienced professional who uses Python programming to collect, process, and analyze large sets of data. They are responsible for extracting meaningful insights from data to support business decisions, often using libraries like pandas, NumPy, and matplotlib. In addition to technical skills, they also apply statistical analysis and data visualization techniques, and frequently mentor junior analysts or collaborate with data scientists and engineers. Their role may also involve developing automated data pipelines and ensuring data quality across projects.
What are the most commonly searched types of Python Data Analysis jobs in Ohio? The most popular types of Python Data Analysis jobs in Ohio are:
What job categories do people searching Senior Python Data Analysis jobs in Ohio look for? The top searched job categories for Senior Python Data Analysis jobs in Ohio are:
What cities in Ohio are hiring for Senior Python Data Analysis jobs? Cities in Ohio with the most Senior Python Data Analysis job openings:
Data Analyst Senior/Business Analyst Senior - Data and Automation (SQL, Python, Data Quality, AI ...

Data Analyst Senior/Business Analyst Senior - Data and Automation (SQL, Python, Data Quality, AI ...

PNC Bank

Strongsville, OH • On-site

$79K - $100K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 23 days ago


PNC Bank rating

7.7

Company rating: 7.7 out of 10

Based on 340 frontline employees who took The Breakroom Quiz

78th of 146 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 Data Analyst Senior within PNC's Data and Automation organization, you will be based in Strongsville, OH.
Support regularly occurring data provisioning for Commercial model monitoring, model development, third parties, and other analytics.
Work closely with data scientists, model analytics management, and downstream consumers to understand and fulfill evolving data requirements.
Support onboarding and validation of new data domains (e.g., Marketing) into enterprise analytics environments (e.g., ACZ Bronze), including coverage analysis, reconciliation, and readiness assessment.
Perform handson data validation and user acceptance testing (UAT) to ensure datasets are complete, accurate, wellunderstood, and fit for use by modeling and analytics stakeholders.
Support acquisitionrelated data efforts (e.g., historical data ingestion, pointintime and fullhistory datasets) and contribute to repeatable frameworks that can be applied to future acquisitions.
Streamline and refactor existing code using best practices in SQL and Python to enhance performance, scalability, and maintainability across platforms.
Translate and modernize legacy data processes (e.g., SASbased workflows) into cloud and bigdatanative solutions (e.g., SQL, PySpark), including effective use of AIassisted tooling to accelerate and validate code translation.
Develop new scripts and processes to automate repetitive tasks, reduce manual effort, and improve testing and validation efficiency.
Conduct thorough data quality assessments and clearly articulate data anomalies, risks, and constraints to management and data consumers using rootcause analysis and trend reporting.
Partner with stakeholders to resolve data quality issues and implement preventative controls to reduce recurrence.
Adhere to change management practices to ensure that all code and process changes are reviewed, tested, documented, and approved prior to implementation.
Track and document changes to data processes, validation results, and decisions to support auditability, transparency, and knowledge transfer.
Occasionally participate in scrum or agile development teams, supporting Enterprise Data Management and analytics initiatives through planning, development, testing, and delivery activities.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
  • Manages and develops information systems for clients; conducts data information analysis for a variety of studies under the direction of organizational standards.
  • Advises end-users on data manipulation, end-user support systems and statistical analysis.
  • Selects new information sources and acquires stock. Catalogs and indexes new materials.
  • Implements and supports technologies for managing and effectively utilizing multiple information sources, formats and uses.
  • Researches customers needs, conducts awareness and promotional sessions for potential customers.

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, Competitive Advantages, Data Analytics, Data Mining, Data Science, Machine Learning (ML), Python (Programming Language), Structured Query Language (SQL)CompetenciesApplication Design, Architecture, Business Intelligence, Data Architecture, Data Mining, Emerging Technologies, Informatics/Information Sciences, Information Management, IT Environment, Modeling: Data, Process, Events, Objects, Requirements AnalysisWork 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: $75,000.00 - $125,000.00Salaries 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 06/15/2026, 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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