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

Expertise with enterprise data environments and federated analytics models (required) Licenses and Certifications * Training or certification in SQL, Python, or cloud platforms (preferred) * Training ...

Digital Analyst Internships

Cleveland, OH

$95.40K - $112.80K/yr

About Digital Analyst Roles at Danaher Are you passionate about data, customer experience, and ... Basic programming or scripting experience in Python, SQL, or JavaScript * Experience with Sitecore ...

Comfortable with Python. * Experience working within data platforms like Databricks/Snowflake, and analytics modeling platforms such as Tableau * Strong analytical and problem-solving skills with the ...

Databricks Data Engineer

Cleveland, OH

$111K - $133.40K/yr

You will work with business and technology teams to modernize data environments, support analytics ... Python, and Structured Query Language (SQL) * Support the modernization of enterprise data ...

If so, Deloitte Digital's Data Science and Analytics practice is seeking creative minds and ... Proficiency in high level scripting language, such as Python or R * Understanding of the strategic ...

Continued learning on current data science methodologies (Python, Databricks, etc. * Analyzing competitor pricing and market trends to increase market share and profitability. EDUCATION: * A Bachelor ...

Continued learning on current data science methodologies (Python, Databricks, etc. * Analyzing competitor pricing and market trends to increase market share and profitability. EDUCATION: * A Bachelor ...

Continued learning on current data science methodologies (Python, Databricks, etc. * Analyzing competitor pricing and market trends to increase market share and profitability. EDUCATION: * A Bachelor ...

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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 May 31, 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?

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.

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 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 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 May 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.
Data & BI Manager

Data & BI Manager

Keybank

Brooklyn, OH • On-site

Full-time

Posted 18 days ago


KeyBank rating

8.2

Company rating: 8.2 out of 10

Based on 89 frontline employees who took The Breakroom Quiz

37th of 141 rated banks


Job description

Location:

4910 Tiedeman Road, Brooklyn OhioJob Summary
The Data & Business Intelligence Manager plays a key role in leading KeyBank's federated analytics model by enhancing the data experience across the enterprise. This role is responsible for managing a high-performance team that maintains and optimizes analytic data marts, ensuring data integrity, and supporting the development of trusted data assets. The Manager leads cross-functional work product with analytics, operations, and technology teams to solve business problems, improve data quality, promote best practices in data usage, and drive strategy that aligns with business goals.
Essential Functions
  • Maintain and enhance KeyBank's Google Cloud-based Analytics Marts, including Star Marts and Client Analytics Marts (CAM).
  • Serve as a subject matter expert (SME) for assigned data domains and marts.
  • Lead enterprise data quality efforts, including testing, validation, and documentation.
  • Analyze large and small datasets to identify trends, gaps, and opportunities for improvement.
  • Collaborate onsite with operations and support teams to address tool functionality and capability gaps.
  • Manage user acceptance testing (UAT) to ensure high-quality releases and user experiences.
  • Engage with the analytics community to promote data literacy, identify issues, and drive solutions.
  • Translate business needs into technical requirements and provide consulting on data usage.
  • Partner with the Data Literacy team to integrate data concepts with lineage, cataloging, and governance.
  • Provide thought leadership on the evolution of enterprise analytics and data strategy.
  • Oversee resolution of data incidents in collaboration onsite with LOB and technology partners.
  • Ensure alignment of data solutions with KeyBank's technology roadmap and governance standards.
  • Manage and mentor a team, working to develop new capabilities and meet department targets.
  • Performs other duties as assigned; duties, responsibilities and/or activities may change or new ones may be assigned at any time with or without notice
  • Complies with all KeyBank policies and procedures, including without limitation, acting professionally at all times, conducting business ethically, avoiding conflicts of interest, and acting in the best interests of Key's clients and Key.

Education
  • Bachelor's Degree in Data Analytics, Business, Finance, Economics, Engineering, Computer Science, MIS, Statistics, or a related field or equivalent experience (preferred)
  • Master's Degree (preferred)

Work Experience
  • 7+ years of experience in data analytics, business intelligence, or data product management (required)
  • 1+ years of experience managing teams (preferred)
  • Experience working with Google Cloud Platforms (required)
  • Expertise with enterprise data environments and federated analytics models (required)

Licenses and Certifications
  • Training or certification in SQL, Python, or cloud platforms (preferred)
  • Training or certifications in data governance, data cataloging, and data lineage tools (preferred)

Skills
  • The process of examining, organizing, and interpreting data to uncover patterns, trends, and insights that support business decision-making.
  • The ability to write and execute structured queries using languages like SQL to retrieve, manipulate, and analyze data from databases.
  • Creating clear and effective visual representations of data-such as charts, graphs, and dashboards-to communicate insights and support storytelling.
  • The use of tools, systems, and practices to transform raw data into meaningful insights that inform strategic and operational decisions.
  • Applying policies, standards, and practices to ensure data quality, integrity, security, and compliance across the organization.
  • Designing logical and physical data structures that define how data is stored, related, and accessed within systems to support reporting and analytics.
  • Developing recurring and ad hoc reports that summarize data findings and provide actionable insights to business stakeholders.
  • The ability to logically evaluate data, identify relationships, and draw conclusions to solve problems and support decision-making.
  • Understanding and prioritizing the needs of internal and external clients when developing data solutions and delivering insights.
  • Manage the planning, coordination, and execution of data-related projects, ensuring timely delivery and alignment with business goals.
  • Effectively sharing information with senior leaders and working with cross-functional teams to solve problems, align on goals, and deliver results.
  • Identifying issues, analyzing root causes, and developing practical solutions using data and critical thinking.
  • Understanding how to work with cloud-based data platforms and tools, including data storage, processing, and analytics capabilities.
  • Ability to assemble and lead diverse teams to deliver high-quality service and solutions.
  • Building new programs from the ground up and continuously improving existing initiatives by championing new ideas and leveraging insights from other areas of the enterprise and the data community.

Core Competencies
  • All KeyBank employees are expected to demonstrate Key's Values and abide by Key's Code of Conduct.

Physical Demands
  • General Office - Prolonged sitting, ability to communicate face to face in person or on the phone with teammates and clients, frequent use of PC/laptop, occasional lifting/pushing/pulling of backpacks, computer bags up to 10 lbs.

Work Location Category
  • Hybrid (3+ days)

COMPENSATION AND BENEFITS

This position is eligible to earn a base salary in the range of $96,000.00 - $181,000.00 annually. Placement within the pay range may differ based upon various factors, including but not limited to skills, experience and geographic location. Compensation for this role also includes eligibility for incentive compensation which may include production, commission, and/or discretionary incentives.

Please click here for a list of benefits for which this position is eligible.

Key has implemented an approach to employee workspaces which prioritizes in-office presence, while providing flexible options in circumstances where roles can be performed effectively in a mobile environment.

Job Posting Expiration Date: 05/27/2026 KeyCorp is an Equal Opportunity Employer committed to sustaining an inclusive culture. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, genetic information, pregnancy, disability, veteran status or any other characteristic protected by law.

Qualified individuals with disabilities or disabled veterans who are unable or limited in their ability to apply on this site may request reasonable accommodations by emailing HR_Compliance@keybank.com.

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About KeyBank

Sourced by ZipRecruiter

Key is one of the nation's largest bank-based financial services companies. Key provides deposit, lending, cash management, insurance, and investment services to individuals and businesses in 15 states under the name KeyBank National Association through a network of more than 1,200 branches and more than 1,500 ATMs. Key also provides a broad range of sophisticated corporate and investment banking products, such as merger and acquisition advice, public and private debt and equity, syndications, and derivatives to middle market companies in selected industries throughout the United States under the KeyBanc Capital Markets trade name.

Industry

Banking and credit intermediation

Company size

10,000+ Employees

Headquarters location

Cleveland, OH, US

Year founded

1849