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Entry Level Python Data Analysis Jobs in Cincinnati, OH

... Python and Spark for data analysis and manipulation. • Proficiency with statistics, design of experiments, exploratory data analysis, and insights generation. • Experience working with LLMs or ...

Omya is seeking a motivated and analytical Data Scientist Coop student to join their team. The role ... role. • Proficiency in Python or R. • Proficiency in SQL. • Familiarity with data ...

[US] Data Analytics Associate

Mason, OH · On-site

$55K - $56K/yr

Experience with Python is an added advantage. * Extensive background in data mining and statistical analysis. * Able to understand various data structures and common methods in data transformation.

[US] Data Analytics Associate

Mason, OH · On-site

$55K - $56K/yr

Experience with Python is an added advantage. * Extensive background in data mining and statistical analysis. * Able to understand various data structures and common methods in data transformation.

[US] Data Analytics Associate

Mason, OH · Hybrid

$55K - $56K/yr

Experience with Python is an added advantage. * Extensive background in data mining and statistical analysis. * Able to understand various data structures and common methods in data transformation.

[US] Data Analytics Associate

Mason, OH · On-site

$55K - $56K/yr

Experience with Python is an added advantage. * Extensive background in data mining and statistical analysis. * Able to understand various data structures and common methods in data transformation.

Data Architect

Verona, KY · On-site +1

$59 - $75.75/hr

You will collaborate with leading professionals in data analysis and processing, as well as in ... Java/Python WHAT DO WE OFFER? * Join our team and culture GMV by entering into technological and ...

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Entry Level Python Data Analysis information

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How much do entry level python data analysis jobs pay per hour?

As of Jul 15, 2026, the average hourly pay for entry level python data analysis in Cincinnati, OH is $31.59, according to ZipRecruiter salary data. Most workers in this role earn between $20.29 and $35.29 per hour, depending on experience, location, and employer.

What is the difference between Entry Level Python Data Analysis vs Data Analyst?

AspectEntry Level Python Data AnalysisData Analyst
Required SkillsPython, SQL, basic statistics, data visualizationExcel, SQL, statistics, data visualization
CertificationsPython programming, data analysis coursesExcel, Tableau, SQL certifications
Work EnvironmentTech companies, startups, data-driven teamsBusiness, finance, healthcare sectors
Typical TasksData cleaning, scripting in Python, creating dashboardsData reporting, analysis, presenting insights

Entry Level Python Data Analysis focuses on using Python for data manipulation and visualization, often requiring programming skills. Data Analysts may use a broader set of tools like Excel and Tableau but also perform similar data interpretation tasks. Both roles are entry-level positions in data teams, but Python skills give an edge in automation and handling larger datasets.

What are the most commonly searched types of Python Data Analysis jobs in Cincinnati, OH? The most popular types of Python Data Analysis jobs in Cincinnati, OH are:
What are popular job titles related to Entry Level Python Data Analysis jobs in Cincinnati, OH? For Entry Level Python Data Analysis jobs in Cincinnati, OH, the most frequently searched job titles are:
What job categories do people searching Entry Level Python Data Analysis jobs in Cincinnati, OH look for? The top searched job categories for Entry Level Python Data Analysis jobs in Cincinnati, OH are:
What cities near Cincinnati, OH are hiring for Entry Level Python Data Analysis jobs? Cities near Cincinnati, OH with the most Entry Level Python Data Analysis job openings:
Business Intelligence Analyst

Business Intelligence Analyst

Formica Corporation

Cincinnati, OH • On-site

Full-time

Re-posted 18 days ago


Job description

We are seeking a curious, motivated, early-career Business Intelligence Analyst to join our growing analytics team. This role is ideal for candidates with strong academic or internship experience in data analytics, business analytics, or related fields who are excited to apply and expand their skills in real-world problem solving. While fluent in all things related to data analytics, the candidate should have a desire to understand business or operations workflows and fundamentals.
The ideal candidate brings strong academic or internship experience in business analytics, enjoys problem solving, and is eager to learn tools such as Qlik Sense and Alteryx. They should also have a foundation in analytics concepts, an eye for detail, and a desire to understand new technologies and business processes. This role will directly support ongoing improvements to our analytics environment, including data modeling, dashboard development, and enabling self-service analytics for end users in multiple departments, with a specific focus on Operations.
Key Responsibilities
Business Intelligence Development
  • Build, maintain, and enhance dashboards and visualizations in Qlik (prior Qlik experience not required).
  • Develop repeatable data preparation workflows in Alteryx to support reporting and analysis needs.
  • Assist with creating automated reporting solutions and data pipelines.
  • Validate data logic, calculations, and visualizations for consistency and accuracy.

Data Analysis & Problem Solving
  • Perform exploratory data analysis to identify patterns, anomalies, and actionable insights.
  • Perform data validation and troubleshooting analysis to understand trends, errors, or anomalies.
  • Assist with data modeling tasks, including preparing new fields, refining dimensions, and supporting fact table logic.
  • Support analytics projects by translating business questions into analytical approaches with research, data validation, and clear documentation.

Collaboration & Communication
  • Work with cross-functional teams to understand requirements, refine user needs, and deliver data-driven recommendations.
  • Present findings in a clear, concise manner to business stakeholders.
  • Contribute to team best practices related to version control, visualization standards, and workflow management.
  • Respond to ad-hoc data and reporting requests, helping stakeholders find answers through self-service tools where possible.

Quality, Accuracy & Continuous Improvement
  • Contribute to larger BI initiatives such as data warehouse updates, dashboard redesigns, or analytics process improvements.
  • Support iterative development cycles by gathering user feedback, testing solutions, and documenting changes.
  • Proactively suggest enhancements to reports, workflows, or data structures.

Qualifications
Required
  • Bachelor's degree in Business Analytics, Data Analytics, Information Systems, Statistics, or related field.
  • Academic or internship experience with data analysis, business analytics, or BI coursework.
  • Exposure to at least one visualization tool (Qlik Sense, Tableau, Power BI, Looker, etc.).
  • Familiarity with data modeling concepts (dimensions, facts, star schemas).
  • Strong analytical mindset, curiosity, and willingness to learn new tools and methods to break down ambiguous problems.
  • Foundational understanding of data modeling, structured problem solving, and analytics concepts.
  • Ability to communicate clearly with both technical and non-technical users.

Preferred
  • Master's degree or coursework in Business Analytics and/or major minor in Operations Management .
  • Previous BI or analytics internship or entry-level work experience.
  • Exposure to Manufacturing Operations
  • Understanding of best practices for data visualization, UX for dashboards, and data storytelling.
  • Experience working with data preparation tools (e.g., Alteryx, KNIME, SSIS).
  • Basic experience with SQL, Python, R, or another scripting/query language (coursework or project-based experience accepted).

Key Competencies
  • Analytical and critical thinking
  • Strong attention to detail and data accuracy
  • Ability to learn new tools and frameworks quickly
  • Problem-solving mindset and ability to break down complex issues
  • Professional curiosity and effective communication
  • Collaborative mindset and service-oriented approach
  • Comfort working with multiple stakeholders and shifting priorities

Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities
This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights notice from the Department of Labor.