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Data Analytics Intern Jobs in Ohio (NOW HIRING)

Vertiv Co

Operations Intern (Summer 2027)

Westerville, OH

$14.75 - $19.25/hr

... Data and Analytics Intern. This internship offers exposure to various facets of operations ... Collect, analyze, and present data related to key performance indictors (KPIs) and operational ...

Novoco

Real Estate Analyst Intern

Columbus, OH

$18 - $20/hr

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 ...

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All JobsData Analytics Intern JobsData Analytics Intern Jobs in Ohio

Data Analytics Intern information

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How much do data analytics intern jobs pay per hour?

As of Aug 19, 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 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 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 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 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.

Can I do a data analytics intern internship?

A data analytics intern internship is typically available to students or recent graduates with skills in data analysis, statistics, and tools like Excel, SQL, or Python. Internships usually have age or educational requirements and may require a resume or interview process. They provide practical experience in data collection, cleaning, and reporting within a professional environment.

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 are popular job titles related to Data Analytics Intern jobs in Ohio?

For Data Analytics Intern jobs in Ohio, the most frequently searched job titles are:

What job categories do people searching Data Analytics Intern jobs in Ohio look for?

The top searched job categories for Data Analytics Intern 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:

Data Analytics Intern jobs near you
Infographic showing various Data Analytics Intern job openings in Ohio as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $44,501 per year, or $21.4 per hour.

Financial Planning & Analysis Intern

Metallus

Canton, OH

$19.25 - $33.50/hr

Internship

Re-posted 8 hours ago

Metallus rating

6.8

Company rating: 6.8 out of 10

Based on 27 frontline employees who took The Breakroom Quiz

Job description

Joining the Metallus team means becoming part of a legacy that dates back over a century. We are an industry leader, manufacturing the cleanest steel in the world for companies in the industrial, aerospace and defense, automotive, and energy markets. 

Metallus Internship Program

At Metallus, our internship program is designed to make you part of our team. You will have opportunities to grow your skills, develop as a leader, and network with our managers and leaders. Our program allows you to gain real work experience in a team environment. Metallus also supports your career readiness development through workshops with topics like resume building and interview prep.

Metallus Internship Includes:

  • Competitive salary ($19.25-$33.50 per hour)

    • Based upon major, degree type, and class status

  • Housing options (if eligible)

  • Free access to our 24/7 Wellness Center

  • Real-world experience that provides a competitive edge upon graduation

  • Casual work environment

  • Career planning and development workshops

  • Organized social activities and community service events

  • Networking with leadership, hiring managers, and early career colleagues

Internship Assignment: Full Time - Summer 2027

  • Start date: 05/17/2027

  • The FP&A Intern supports the finance team in budgeting, forecasting, and business analysis activities. This role provides exposure to core financial processes and cross-functional collaboration, with opportunities to contribute to real-time business decisions.

    • Assisting in monthly close, forecasting, and variance analysis

    • Supporting financial modeling, reporting, and data analysis

    • Partnering with operational teams to understand cost drivers and performance trends

    • Contributing to ad hoc analyses and small project Work across FP&A and related functions

Internship Qualifications: 

  • Minimum cumulative GPA of 2.5

  • Must have completed 30 or more credit hours by the end of the spring 2027 semester

  • Must be a full-time student attending an accredited two-year or four-year college/university

  • Strong Excel and data analysis skills

  • Familiarity with financial modeling and reporting

  • Experience with PowerPoint

  • Ability to manage multiple tasks in a fast-paced environment.

  • Preferred majors: Finance, Accounting, or related.

The company prohibits harassment or discrimination against any employee on the basis of any status protected by law, including, but not limited to, race, religion, color, national origin, ancestry, age, disability, genetic information, gender, sex or veteran status.

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