1

Data Analytics Internship Jobs in Ohio (NOW HIRING)

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 ...

next page

Showing results 1-20

Data Analytics Internship information

See Ohio salary details

$11

$21

$39

How much do data analytics internship jobs pay per hour?

As of Jul 19, 2026, the average hourly pay for data analytics internship 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 is the difference between Data Analytics Internship vs Data Analyst?

AspectData Analytics InternshipData Analyst
Required CredentialsTypically pursuing or recent graduate in related fieldBachelor's or higher in data-related field, some roles prefer certifications
Work EnvironmentEntry-level, learning-focused, often part-time or temporaryFull-time, professional setting, more responsibility
Employer & Industry UsageInternships offered by companies across industries for trainingFull-time roles in various industries, more specialized
Search & Comparison IntentLooking for entry-level opportunities or internshipsSeeking full-time data analysis roles

The main difference between a Data Analytics Internship and a Data Analyst role is experience level and responsibility. Internships are designed for students or recent graduates gaining initial exposure, while Data Analysts are full-time professionals handling complex data projects. Internships serve as a stepping stone toward a full Data Analyst career.

What type of internship can I get for data analyst?

A data analytics internship typically involves working with data analysis tools like Excel, SQL, or Python to support business decision-making. Interns often assist with data collection, cleaning, visualization, and reporting, gaining practical experience in data-driven environments. These internships are usually offered by companies across various industries and may require basic knowledge of statistics and data tools.

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 grasp of statistics, data analysis, and familiarity with programming languages like Python or R, often supported by coursework in data science or related fields. Experience with data visualization tools (such as Tableau or Power BI), SQL databases, and proficiency in Excel are commonly required. Strong problem-solving abilities, attention to detail, and effective communication skills help interns stand out in collaborative, data-driven environments. These skills are crucial for transforming data into actionable insights and supporting decision-making processes within organizations.

What are the big 4 internships?

The Big 4 internships typically refer to 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 and potential pathways to full-time roles in the field of data analytics and finance.

Can I do a data analyst internship?

Yes, a data analyst internship is available for students or entry-level candidates interested in developing skills in data analysis, statistics, and tools like Excel, SQL, or Python. Internships typically require relevant coursework or basic knowledge of data concepts and may be part-time or summer positions to gain practical experience.

What would 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 may help prepare reports or visualizations under supervision.

What is a Data Analytics Internship?

A Data Analytics Internship is a temporary position, often for students or recent graduates, that provides hands-on experience working with data to identify trends, create reports, and support decision-making within an organization. Interns typically assist with data collection, cleaning, analysis, and visualization, using tools like Excel, SQL, Python, or specialized analytics software. The internship offers practical exposure to real-world business problems and helps interns develop critical technical and analytical skills valuable for a future career in data analytics.

What types of projects do Data Analytics Interns typically work on during their internship?

Data Analytics Interns often work on projects involving data cleaning, exploratory data analysis, and visualization to support business decisions. They may assist in creating dashboards, conducting statistical analyses, or helping to automate data collection processes. Interns frequently collaborate with data analysts, engineers, or business teams to understand project goals and contribute meaningful insights. These projects help interns gain practical experience with industry-standard tools like Excel, SQL, Python, or Tableau, while learning to communicate findings effectively within a team setting.
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 Internship jobs? Cities in Ohio with the most Data Analytics Internship job openings:
Infographic showing various Data Analytics Internship job openings in Ohio as of July 2026, with employment types broken down into 1% Internship, 90% Full Time, 7% Part Time, and 2% Contract. Highlights an 79% Physical, 5% Hybrid, and 16% Remote job distribution, with an average salary of $44,501 per year, or $21.4 per hour.
Data Analytics & GIS Internship (Part-Time)

Data Analytics & GIS Internship (Part-Time)

City of Westerville

Westerville, OH

$33K - $44K/yr

Part-time

Posted 20 days ago


Job description

Description This position is open until filled. Applications are being reviewed as they are received. The purpose of the Data Analytics & Geographic Information Systems (GIS) Internship program is to provide students of Data Analytics & GIS-related studies with professional Data Analytics & GIS experience in a public sector organization.

This internship position will support citywide Data Analytics & GIS from the Information Technology (IT) department. This program is intended to provide part-time employment in the Data Analytics & GIS field. Upon the student's graduation and completion of the Data Analytics & GIS internship, the student should have received adequate training and experience necessary for an entry-level Data Analytics & GIS job.

SUPERVISION This position does not have any supervisory responsibilities. ESSENTIAL FUNCTIONS OF WORK A qualified candidate must be able to do the following: Perform entry level Data Analytics & GIS work, including the creation and maintenance of GIS data within ArcGIS Pro and ArcGIS Online. Assist in data clean-up and data quality testing.

Assist in producing printed and virtual maps for stakeholders. Assist in troubleshooting stakeholders' issues and training. Assist with creating and updating project documents and instructions.

Perform other related tasks as assigned. Careful review and attention to detail is a must. Data analysis and reporting from a variety of sources.

Use data visualization software to present findings. MINIMUM REQUIREMENTS OF WORK The applicant must be currently enrolled in a relevant undergraduate, graduate, professional certificate program such as Geography, Computer Science, Data Science, Management Information Systems, Environmental Sciences, Political Sciences, Public Administration, or other related fields. Applicants must have prior hands-on experience in an academic or project setting with Data Analytics or GIS Applications.

Must have effective time management and demonstrated ability to meet project deadlines and goals with minimal supervision. The position will require occasional travel within the municipality for field data collection and meetings with departments.