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Intern Python Data Analyst Jobs in Ohio (NOW HIRING)

SQL, Python * Business Analysis Data Analyst duties: * Ensure integrity of data structure, processes and related tools (i.e., Universal Product Codes or Multi-Sourced Items) and communicate details ...

$25 - $42/hr

Support automation scripts and data processing pipelines * Participate in Agile/Scrum ceremonies ... Strong analytical and problem-solving skills * Good communication and teamwork abilities ...

$25 - $42/hr

Support automation scripts and data processing pipelines * Participate in Agile/Scrum ceremonies ... Strong analytical and problem-solving skills * Good communication and teamwork abilities ...

Significant experience with data analysis software such as Python, R, or Matlab. * Experience solving analytical problems using quantitative approaches. * Experience with hypothesis testing - the ...

Significant experience with data analysis software such as Python, R, or Matlab. * Experience solving analytical problems using quantitative approaches. * Experience with hypothesis testing - the ...

Data Analyst

Kings Mills, OH

$79.48K - $139.80K/yr

Develop reports using platforms such as Oracle BIP, Toad Database, RapidMiner, Python, and other ... Help drive the use of data warehouses for insights and predictive analytics. Qualifications Include

Data Analyst

Akron, OH · On-site

$79.48K - $139.80K/yr

Develop reports using platforms such as Oracle BIP, Toad Database, RapidMiner, Python, and other ... Help drive the use of data warehouses for insights and predictive analytics. Qualifications include:

Data Analyst

Akron, OH · On-site

$79.48K - $139.80K/yr

Develop reports using platforms such as Oracle BIP, Toad Database, RapidMiner, Python, and other ... Help drive the use of data warehouses for insights and predictive analytics. Qualifications include:

We're looking for a Data Analyst to join our Fraudsight team and help us unleash the potential of ... Strong skills in SQL and Python, added bonus if you have experience with R. * Proficient in working ...

Experience with object-oriented programming languages, such as Python * Advanced Alteryx expertise * Advanced SQL expertise * Data Modeling experience * Strong analytical and problem-solving skills

Experience with object-oriented programming languages, such as Python * Advanced Alteryx expertise * Advanced SQL expertise * Data Modeling experience * Strong analytical and problem-solving skills

Data Analyst

Dayton, OH · On-site

$75K - $89K/yr

MUST have hands-on experience with data analysis and programming tools such as Python, PySpark, SQL, R, Scala, Visual Basic, or similar technologies used to parse, cleanse, manipulate, analyze, and ...

MUST have hands-on experience with data analysis and programming tools such as Python, PySpark, SQL, R, Scala, Visual Basic, or similar technologies used to parse, cleanse, manipulate, analyze, and ...

What Data Analytics contributes to Cardinal Health The Data Analytics Function oversees the ... Responsibilities Execute data extraction and transformation using SQL, Python, or R. Profile ...

What Data Analytics contributes to Cardinal Health The Data Analytics Function oversees the ... Execute data extraction and transformation using SQL, Python, or R. * Profile datasets to assess ...

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Intern Python Data Analyst information

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

To thrive as an Intern Python Data Analyst, you need a solid understanding of data analysis concepts, proficiency in Python, and familiarity with statistics, typically supported by coursework in data science or a related field. Experience using tools like pandas, NumPy, Jupyter Notebook, and SQL, as well as exposure to data visualization libraries such as matplotlib or seaborn, is highly beneficial. Curiosity, attention to detail, and strong problem-solving and communication skills help you extract insights and present findings effectively. These skills are important for accurately analyzing data, translating results into actionable insights, and supporting data-driven decisions within an organization.

What types of projects and tasks can an Intern Python Data Analyst expect to work on during their internship?

As an Intern Python Data Analyst, you can expect to work on a variety of data-driven projects, such as cleaning and preparing datasets, creating data visualizations, and running exploratory data analysis using Python libraries like pandas and matplotlib. You'll likely support senior analysts by automating data collection processes and helping to generate regular reports. Collaboration with team members from different departments is common, as you'll need to understand business needs and present your findings in a clear, actionable way. These experiences provide valuable exposure to real-world data challenges and can help you develop both technical and communication skills crucial for advancing in data analytics.

What does an Intern Python Data Analyst do?

An Intern Python Data Analyst assists in collecting, processing, and analyzing data using Python programming language. They support the data team by writing scripts to clean and visualize data, and help generate insights from large datasets. Interns also learn to use data analysis libraries such as pandas, NumPy, and matplotlib, and may assist with reporting or automation tasks. This role is typically entry-level and offers hands-on experience in data analysis within a supervised environment.

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

AspectIntern Python Data AnalystIntern Data Scientist
Required SkillsPython, SQL, Excel, Data VisualizationPython, R, Machine Learning, Statistical Analysis
Work EnvironmentData analysis, reporting, dashboardsModel development, predictive analytics, research
Industry UsageBusiness intelligence, finance, marketingTech, healthcare, research institutions

Intern Python Data Analysts focus on analyzing data, creating reports, and visualizations using Python and related tools. Intern Data Scientists work on building models, applying machine learning, and conducting advanced statistical analysis. While both roles require Python skills, Data Scientists typically need additional knowledge of R and machine learning techniques. The roles often overlap in industries like tech and finance, but Data Scientists tend to engage in more complex predictive tasks, whereas Data Analysts focus on interpreting data for business insights.

What are the most commonly searched types of Python Data Analyst jobs in Ohio? The most popular types of Python Data Analyst jobs in Ohio are:
What cities in Ohio are hiring for Intern Python Data Analyst jobs? Cities in Ohio with the most Intern Python Data Analyst job openings:

TTG Business Data Analyst Intern

TransTech Group

Cleveland, OH • On-site

Other

Posted 20 days ago


Job description

Position Title: Internship- Business Data Analyst

Reports To: Manager of Business Analysis and Process

Location: Cleveland, OH / Hybrid

Hours: Part time/ or hybrid full time

Company Overview


TransTech provides custom-engineered and fabricated solutions for liquids and gas processing, storage, TransTech is a leading provider of specialized infrastructure and custom-engineered equipment for diverse industries. Our expansive capacity and technical expertise enable large-scale production of complex, high-quality equipment while meeting rigorous quality and safety standards.

TransTech’s companies provide comprehensive solutions for gas and liquid processing, storage, transfer, and utilization, adhering to ASME, API, and TEMA standards to ensure reliability and precision in every project.

From individual services to full project solutions, TransTech’s teams deliver expert engineering, fabrication, construction, operations and maintenance, supporting projects nationally and internationally. We help customers achieve impactful, sustainable results with a commitment to safety, community, and environmental responsibility.

Job Summary

TransTech is seeking a Business Data Analyst Intern to support reporting, analytics, automation, and emerging AI initiatives in our Microsoft Fabric environment. With core business data now centralized in Fabric, this role will help turn that data into useful reporting, insights, and scalable business solutions.The intern will work closely with the Manager of Business Analysis and Process and the Business Data Analyst to collaborate with business and technical teams. The intern will support Power BI reporting, validate and organize data, assist with automation opportunities, and contribute to early AI-related projects. This is an excellent opportunity for someone looking to gain hands-on experience with modern enterprise analytics tools in a manufacturing and engineering environment. Key Responsibilities
Reporting and Analytics Support:

• Assist in developing, updating, and maintaining Power BI dashboards and reports for business users.

• Support reporting and analysis across Finance, Operations, Supply Chain, Project Management, and other functions.

• Help users validate report outputs and confirm that business requirements are met.

• Assist with recurring reporting, KPI tracking, and ad hoc analysis to support decision-making.

Microsoft Fabric Support:

• Work with curated data already available in Microsoft Fabric to support reporting and analysis needs.

• Assist with organizing and maintaining Fabric assets such as semantic models, dataflows, reports, and related objects.

• Help validate data accuracy, consistency, and usability for business reporting.

• Support documentation of data definitions, report logic, and business rules used within the Fabric environment.

Data Quality and Business Support:

• Help identify data issues, missing values, inconsistencies, and opportunities to improve reporting reliability.

• Assist in reconciling data across business processes and reports.

• Support meetings with business users to understand reporting needs and follow up with analysis.

• Help document metrics, requirements, and process improvements related to analytics initiatives.

Automation and AI Support:

• Assist with business process improvement opportunities that use Power Automate, reporting workflows, or AI-enabled solutions.

• Support early AI use cases by helping organize source data, document needs, and participate in testing.

• Assist with document-based or workflow-based pilot efforts where AI may help improve efficiency or reduce manual effort.

• Work with internal teams and external partners to support implementation and testing of new analytics and AI solutions.


General Analytics Support:

• Help answer business questions using Excel, SQL, Power BI, or Fabric-based datasets.

• Assist with special projects related to digital transformation, enterprise reporting, and operational analytics.

• Contribute to a growing data and AI program by supporting both day-to-day reporting needs and longer-term capability building.


Preferred Qualifications:

• Familiarity with Excel, Power BI, SQL, Python or data analysis tools.

• Strong attention to detail and interest in business data, reporting, and process improvement.

• Exposure to Microsoft Fabric, Power Platform, SharePoint, or related Microsoft technologies is a plus.

• Curious, detail-oriented, and eager to learn about data systems in a real-world business setting.

Education/Experience:

• Currently pursuing a Bachelor’s degree in Data Analytics, Information Systems, Computer Science, Business, Finance, Engineering, or a related field.

What You’ll Gain:

• Hands-on experience working in a live Microsoft Fabric and Power BI environment.

• Exposure to real business reporting and analytics across multiple functional areas.

• Experience supporting data quality, automation, and emerging AI initiatives.

• Opportunity to contribute to meaningful business solutions in a manufacturing and engineering setting.

• Practical experience working cross-functionally as part of a broader digital transformation effort.

This organization provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.


#TTE