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Data Analytics 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 ...

Intern (Intern Program)

Beachwood, OH · On-site

$17 - $21.50/hr

The Intern will also participate in Tremco's Summer Internship Program along with other fellow ... Interpret data and analyze results using statistical techniques. Provide ongoing reporting and ...

Intern (Intern Program)

Beachwood, OH · On-site

$17 - $21.50/hr

The Intern will also participate in Tremco's Summer Internship Program along with other fellow ... Interpret data and analyze results using statistical techniques. Provide ongoing reporting and ...

The Intern will also participate in Tremco's Summer Internship Program along with other fellow ... Interpret data and analyze results using statistical techniques. Provide ongoing reporting and ...

The Intern will also participate in Tremco's Summer Internship Program along with other fellow ... Interpret data and analyze results using statistical techniques. Provide ongoing reporting and ...

Intern (Intern Program)

Beachwood, OH · On-site

$17 - $21.50/hr

The Intern will also participate in Tremco's Summer Internship Program along with other fellow ... Interpret data and analyze results using statistical techniques. Provide ongoing reporting and ...

Intern (Intern Program)

Beachwood, OH · On-site

$17 - $21.50/hr

The Intern will also participate in Tremco's Summer Internship Program along with other fellow ... Interpret data and analyze results using statistical techniques. Provide ongoing reporting and ...

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Data Analytics Intern information

See Ohio salary details

$11

$21

$39

How much do data analytics intern jobs pay per hour?

As of Jun 16, 2026, the average hourly pay for data analytics 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 the key skills and qualifications needed to thrive as a Data Analytics Intern, and why are they important?

To thrive as a Data Analytics Intern, you need a solid understanding of statistics, data analysis, and proficiency in programming languages like Python or R, often supported by coursework in mathematics, computer science, or related fields. Familiarity with data visualization tools (such as Tableau or Power BI), SQL databases, and spreadsheet software is typically expected. Strong analytical thinking, attention to detail, and effective communication skills help interns interpret data and present findings clearly. These skills are crucial for drawing meaningful insights from data and supporting decision-making processes within an organization.

What are the big 4 internships?

The Big 4 internships typically refer to summer internship programs at Deloitte, PricewaterhouseCoopers (PwC), Ernst & Young (EY), and KPMG. These firms offer internships in areas like audit, consulting, tax, and advisory, providing valuable experience for aspiring professionals in fields such as data analytics, accounting, and finance.

What are some common challenges Data Analytics Interns face during their internship, and how can they overcome them?

Data Analytics Interns often encounter challenges such as working with large and complex datasets, learning new analytical tools and programming languages on the job, and translating data findings into actionable insights for non-technical stakeholders. To overcome these challenges, interns should proactively seek guidance from mentors, take advantage of available training resources, and communicate regularly with team members to clarify project goals. Developing strong problem-solving skills and being open to feedback also helps interns grow and succeed in the role.

What does a Data Analytics Intern do?

A Data Analytics Intern assists in collecting, processing, and analyzing data to help organizations make informed decisions. They typically work with tools like Excel, SQL, and data visualization software to identify trends, create reports, and support business objectives. Interns often collaborate with data analysts and other team members to gain practical experience and develop their technical skills. Their work may involve cleaning datasets, running basic analyses, and presenting findings to stakeholders.

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

AspectData Analytics InternData Analyst
Required CredentialsTypically pursuing or recent graduate in related fieldBachelor's or higher in data-related field, some certifications
Work EnvironmentInternship programs, entry-level tasks, supervisedFull-time, independent project work, more responsibility
Employer & Industry UsageInternships in various industries, training rolesFull-time roles across industries like finance, tech, healthcare
Common Search & Comparison IntentUnderstanding entry-level opportunities, learning rolesCareer progression, skill development, salary expectations

The main difference between a Data Analytics Intern and a Data Analyst lies in experience, responsibilities, and employment status. Interns are typically students or recent graduates gaining initial exposure, while Data Analysts are full-time professionals handling complex data projects. Internships serve as training grounds, whereas Data Analysts are expected to independently analyze data and contribute to decision-making processes.

How to get a data analyst intern?

To become a data analyst intern, candidates should develop skills in data analysis tools like Excel, SQL, or Python, and build a strong understanding of statistics and data visualization. Gaining relevant experience through coursework, projects, or certifications can improve chances, and applying to internships through company career portals or job boards is essential. Strong communication skills and a willingness to learn are also important for securing an internship in this field.

What does a data analyst intern do?

A data analyst intern assists in collecting, cleaning, and analyzing data to identify trends and support decision-making. They often use tools like Excel, SQL, or Python and work under supervision to develop reports and visualizations that help organizations understand their data.

Is AI replacing data analysts?

AI tools are automating certain tasks in data analysis, such as data cleaning and basic reporting, but data analysts are still essential for interpreting complex data, making strategic decisions, and providing context. The role of a data analyst involves skills like critical thinking and domain knowledge that AI cannot fully replicate, making the profession unlikely to be fully replaced by AI in the near future.
What are the most commonly searched types of Data Analytics jobs in Ohio? The most popular types of Data Analytics jobs in Ohio are:
What cities in Ohio are hiring for Data Analytics Intern jobs? Cities in Ohio with the most Data Analytics Intern job openings:

Catastrophe Modeling & Data Analytics Intern (Fall 2026)

Great American Insurance Group

Cincinnati, OH • On-site

Part-time

Medical, Dental, Vision, Retirement, PTO

Posted 7 days ago


Great American Insurance Group rating

8.8

Company rating: 8.8 out of 10

Based on 27 frontline employees who took The Breakroom Quiz

53rd of 261 rated insurance


Job description

Be Here. Be Great. Working for a leader in the insurance industry means opportunity for you. Great American Insurance Group's member companies are subsidiaries of American Financial Group. We combine a "small company" culture where your ideas will be heard with "big company" expertise to help you succeed. With over 30 specialty and property and casualty operations, there are always opportunities here to learn and grow.
At Great American, we value and recognize the benefits derived when people with different backgrounds and experiences work together to achieve business results. Our goal is to create a workplace where all employees feel included, empowered, and enabled to perform at their best.
Are you a data-driven problem solver looking to explore the world of catastrophe modeling? Our Reinsurance Division is offering an exciting internship opportunity for individuals eager to learn and contribute to real-world projects in a supportive team environment. This internship offers hands-on experience with real-world projects that support our catastrophe modeling, data engineering, and visualization efforts.
What You'll Work On
You'll collaborate with experienced modelers and analysts on projects such as:
Modeling & Geospatial Analysis
  • Learn to use modeling software to evaluate catastrophe risk.
  • Run analyses and identify high-risk catastrophe regions.

SQL & Data Engineering
  • Update and maintain databases, tables, queries and processes in SQL.
  • Review, update and maintain data engineering code in Python.
  • Consolidate and clean up redundant reference tables across multiple databases.

Visualization & Reporting
  • Create Tableau/Power BI dashboards.
  • Map wildfire, hurricane, convective storm, and earthquake events for visual insights.

Process Optimization
  • Help streamline repeatable modeling processes.
  • Learn and apply Python for automation and data prep tasks.
  • Collaborate with teams to share tools and insights.

What We're Looking For
  • Currently pursuing a degree in Mathematics, Statistics, Data Science, Risk Management, or a related field.
  • Proficient with Excel and a willingness to learn SQL, Tableau, Power BI and Python.
  • Looking for someone who is detail-oriented, curious, and an effective communicator to join our collaborative team.

Business Unit:
Reinsurance
Benefits:
We offer competitive benefits packages for full-time and part-time employees*. Full-time employees have access to medical, dental, and vision coverage, wellness plans, parental leave, adoption assistance, and tuition reimbursement. Full-time and eligible part-time employees also enjoy Paid Time Off and paid holidays, a 401(k) plan with company match, an employee stock purchase plan, and commuter benefits.
Compensation varies by role, level, and location and is influenced by skills, experience, and business needs. Your recruiter will provide details about benefits and specific compensation ranges during the hiring process. Learn more at http://www.gaig.com/careers.
*Excludes seasonal employees and interns.

What Great American Insurance Group employees say

Pay

Benefits

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