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Data Analysis Intern Jobs in Ohio (NOW HIRING)

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 ...

$17.42 - $24.38/hr

Education is verified. * Demonstrated understanding of principles, analysis and modeling ... Demonstrated basic knowledge of applicable data privacy practices and laws. * Demonstrated basic ...

Position Summary The Junior Analyst Intern position is responsible for performing multifamily real ... This includes collecting and coalescing pertinent market data, assisting in market analysis and ...

Job Summary The Analytics Intern will support the enhancement and ongoing support of the Coil ... Interpret data, perform data analysis, and conduct data validation. * Develop high-quality Power BI ...

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Data Analysis Intern information

See Ohio salary details

$11

$21

$39

How much do data analysis intern jobs pay per hour?

As of Jul 5, 2026, the average hourly pay for data analysis intern in Ohio is $21.39, according to ZipRecruiter salary data. Most workers in this role earn between $16.44 and $23.32 per hour, depending on experience, location, and employer.

What are some common challenges faced by Data Analysis Interns during their internship, and how can they overcome them?

Data Analysis Interns often encounter challenges such as working with large, unstructured datasets and learning to use new analysis tools or programming languages. Navigating ambiguous project requirements and balancing multiple deadlines can also be difficult. To overcome these obstacles, interns are encouraged to proactively communicate with their mentors, seek feedback regularly, and make use of available resources such as online tutorials or internal documentation. Collaborating with teammates and asking questions fosters learning and helps interns efficiently resolve roadblocks.

What is the difference between Data Analysis Intern vs Data Analyst?

AspectData Analysis InternData Analyst
Required CredentialsTypically pursuing or recent graduate in related fieldBachelor's or higher in data-related field, some certifications
Work EnvironmentInternship setting, entry-level tasks, supervisedFull-time role, more independent responsibilities
Employer & Industry UsageInternships in various industries, educational focusEstablished roles in finance, tech, healthcare, etc.
Common Search & Comparison IntentUnderstanding entry-level opportunities, learning rolesCareer progression, skill requirements

The main difference between a Data Analysis Intern and a Data Analyst lies in experience, responsibilities, and employment status. Interns are usually students or recent graduates gaining initial exposure, while Data Analysts are full-time professionals handling more complex tasks independently. Internships serve as stepping stones toward becoming a full Data Analyst.

What Do Data Analysis Interns Do?

A data analysis intern supports a data analyst while obtaining valuable practical experience to pursue a position in the field. Your responsibilities in this position include delivering data, formatting information, querying databases for sales, marketing, accounting, and other departments, developing and updating reports, and assisting with projects when needed. Your duties also include evaluating analysis systems, collaborating with other teams, responding to requests for analysis, and investigating data discrepancies. You collect information and review the model to offer recommendations.

What does a Data Analysis Intern do?

A Data Analysis Intern assists in collecting, processing, and interpreting data to help organizations make informed decisions. They often use tools like Excel, SQL, or Python to analyze datasets, create visualizations, and generate reports. Interns work under the supervision of experienced data analysts or data scientists, learning to apply statistical techniques and solve real-world business problems. This role provides hands-on experience in data analytics and helps interns develop valuable technical and analytical skills.

What are the key skills and qualifications needed to thrive as a Data Analysis Intern, and why are they important?

To thrive as a Data Analysis Intern, you should have a solid understanding of statistics, data management, and analytical thinking, often supported by coursework in mathematics, statistics, or a related field. Familiarity with tools like Excel, SQL, Python, or R, as well as data visualization platforms such as Tableau or Power BI, is typically expected. Attention to detail, problem-solving abilities, and effective communication help interns interpret data accurately and present insights clearly. These skills are vital for transforming raw data into actionable insights that support business decision-making.
What are the most commonly searched types of Data Analysis jobs in Ohio? The most popular types of Data Analysis jobs in Ohio are:
What cities in Ohio are hiring for Data Analysis Intern jobs? Cities in Ohio with the most Data Analysis Intern job openings:
Infographic showing various Data Analysis Intern job openings in Ohio as of June 2026, with employment types broken down into 56% Internship, 11% Full Time, and 33% Part Time. Highlights an 100% In-person job distribution, with an average salary of $44,501 per year, or $21.4 per hour.
Data Engineer Intern

Data Engineer Intern

Americhem

Cuyahoga Falls, OH • On-site

Other

Posted 7 days ago


Americhem rating

9.0

Company rating: 9.0 out of 10

Based on 15 frontline employees who took The Breakroom Quiz

2nd of 79 rated plastic manufacturers


Job description

Position Summary:

We are seeking a motivated and detail-oriented Data Engineer Intern to support the design, preparation, integration, and improvement of enterprise data assets. This role is ideal for a candidate who is currently pursuing an Associate’s, Bachelor’s, or Master’s degree in Computer Science, Information Systems, Data Analytics, Software Engineering, or a related field, or who has completed such a degree within the last year. 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 practices. This is a hands-on learning opportunity for someone who wants to build practical experience in databases, SQL, data transformation, and modern ETL/ELT processes.

Position Requirements/Preferred Qualifications:

Education:

  • Currently pursuing or completed within the last 12 months an Associate’s, Bachelor’s, or master’s degree in computer science, Information Technology, Information Systems, Data Engineering, Data Analytics, Software Engineering, or a related field

Experience:

  • Academic coursework, internship experience, training, certification, or hands-on project work related to databases, SQL, data integration, analytics, or cloud-based data platforms
  • Working knowledge of relational databases, data structures, and data modeling fundamentals
  • Ability to write and understand SQL queries for data extraction, transformation, validation, and analysis
  • Exposure to ETL/ELT concepts and frameworks through coursework, labs, bootcamps, or projects
  • Familiarity with one or more data integration or cloud data tools from Microsoft, IBM, or AWS is preferred (for example, Azure Data Factory, Microsoft Fabric, IBM DataStage, AWS Glue, or related services)
  • Knowledge of reporting, dashboards, scripting, or data warehouse concepts is a plus

Skills:

  • Strong analytical, problem-solving, and organizational skills
  • Strong verbal and written communication skills, with the ability to explain technical concepts.
  • Attention to detail and commitment to data accuracy, consistency, and documentation
  • Collaborative mindset with the ability to work effectively across technical and business teams

Essential Duties:

  • Assist in collecting, profiling, cleansing, and validating data from enterprise systems and other internal or external sources
  • Support the development, testing, and maintenance of SQL queries, data transformations, and data integration workflows
  • Participate in ETL/ELT activities to move and prepare data for reporting, analytics, and operational use
  • Work with analysts, developers, and business stakeholders to understand data requirements and support scalable solutions
  • Assist with data loading, integration, and pipeline activities using modern platforms and tools, including Microsoft, IBM, or AWS technologies where applicable
  • Create and maintain documentation for data sources, field definitions, mappings, transformations, and process flows
  • Support reporting, dashboarding, and basic data analysis needs by preparing trusted datasets and validating outputs

Desired Qualities/Attributes

  • Curiosity about data, technology, and how information can improve business decisions.
  • Detail-oriented approach with a strong focus on accuracy, completeness, and repeatable processes.
  • Willingness to learn data engineering concepts, tools, and best practices in a fast-paced environment.
  • Ability to work independently on assigned tasks while also collaborating effectively with mentors and teammates.
  • Commitment to documentation, continuous improvement, and delivering reliable results.

Safety Compliance

The safety of our employees takes precedence over all other initiatives and considerations. All employees are required to comply with established safety protocols as outlined in our policies, procedures, and corporate communications. All employees are responsible for complying with the most current safety practices as communicated by the Company.


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