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Intern Python Data Analyst Jobs in Ohio (NOW HIRING)

The Business Data Analyst II role has a national salary range of $55,000 - $90,000. For roles ... Hands-on experience using SQL or other scripting languages (such as Python or R) to query, clean ...

The Business Data Analyst II role has a national salary range of $55,000 - $90,000. For roles ... Hands-on experience using SQL or other scripting languages (such as Python or R) to query, clean ...

Familiarity with other data analysis tools and programming languages (e.g., Python, R) is advantageous* Strong interpersonal skills, a proactive mindset, and the ability to work independently and as ...

Analyze marketing, customer, and sales data to identify trends, anomalies, opportunities, and areas ... Experience with statistical programming languages such as R or Python. * Experience developing ...

The intern will work with business and technology teams to help organize data, support reporting and analytics needs, and contribute to the development of reliable data pipelines and data quality ...

Gather data and research the results using statistical techniques and advanced analytics tools ... R, Python) * Knowledge of statistics and experience using statistical packages for analyzing ...

Gather data and research the results using statistical techniques and advanced analytics tools ... R, Python) * Knowledge of statistics and experience using statistical packages for analyzing ...

Responsibilities : • Develop data analytics and visualizations by applying proven, industry ... and Python • Demonstrated ability to use Share Point, Tableau, Redmine, and other systems ...

Gather data and research the results using statistical techniques and advanced analytics tools ... R, Python) * Knowledge of statistics and experience using statistical packages for analyzing ...

Demonstrated coding or scripting experience using tools such as Python, Java, or similar languages to support data manipulation, analysis, automation, or visualization. * Demonstrated ability to use ...

ORA_ON_SITE Description The Data Analyst - GEOINT Technical SME applies their technical and ... Java and Python * Demonstrated ability to use Share Point, Tableau, Redmine, and other systems ...

The Technical Data Analyst is responsible for analyzing and interpreting complex data to inform ... Strong programming skills in languages such as SQL, Python, or R. * Experience with data modeling ...

ORA_ON_SITE Description The Data Analyst - GEOINT Technical SME applies their technical and ... Java and Python * Demonstrated ability to use Share Point, Tableau, Redmine, and other systems ...

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Intern Python Data Analyst information

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 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 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 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:
Process Improvement Data Analyst II

Process Improvement Data Analyst II

Total Quality Logistics

Cincinnati, OH • On-site

Full-time

Posted 21 days ago


Total Quality Logistics rating

6.0

Company rating: 6.0 out of 10

Based on 115 frontline employees who took The Breakroom Quiz

313th of 355 rated logistics


Job description

Job Summary:
Total Quality Logistics is seeking a highly skilled Data Analyst focused on Process Improvement to join their team. The ideal candidate will leverage data, automation, and structured problem-solving to identify and deliver measurable operational improvements.
Responsibilities:
• Build and maintain scalable datasets and data models using SQL and BI tools
• Define and track key process performance metrics (KPIs), including baseline and future-state comparisons
• Translate complex data into clear, actionable insights and recommendations
• Move beyond descriptive reporting to proactively surface trends, risks, and opportunities
• Analyze end-to-end workflows to uncover inefficiencies, bottlenecks, and optimization opportunities
• Quantify business impact (e.g., cycle time reduction, error reduction, capacity gains) and track results over time
• Conduct root cause analysis to address issues and prevent recurring inefficiencies
• Provide actionable insights and recommendations to support data-driven decision making
• Partner with stakeholders to understand business needs, prioritize projects, and align improvements with organizational goals
• Translate technical findings into clear, business-friendly communication
• Identify opportunities to automate repetitive tasks and improve data workflows
• Modernize existing tools (e.g., Excel/VBA-based reporting) into scalable, maintainable systems
Qualifications:
Required:
• 3-5 years of experience in data analysis, process improvement, or a related role
• Bachelor’s degree in data analytics, business analytics, or related field
• Advanced experience with Power BI (or similar tools) for dashboarding and data modeling
• Strong SQL skills for data extraction, transformation, and analysis
• Proven ability to independently scope ambiguous problems and deliver end-to-end solutions
• Experience identifying and implementing process improvements with measurable impact
• Strong analytical thinking and structured problem-solving skills
• Excellent communication skills with the ability to influence non-technical stakeholders
• Ability to manage multiple priorities in a fast-paced environment
• Strong interpersonal skills, a proactive mindset, and the ability to work independently and as part of a team
Preferred:
• Familiarity with other data analysis tools and programming languages (e.g., Python, R) is advantageous
Company:
The logistics industry is a $500 billion market. Founded in 1997, the company is headquartered in Cincinnati, USA, with a team of 5001-10000 employees. The company is currently Late Stage.

What Total Quality Logistics employees say

Pay

Benefits

Hours and flexibility

Workplace

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