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Entry Level Data Analyst Jobs in Ohio (NOW HIRING)

Aep

DMS / EMS / SCADA Analyst Associate

New Albany, OH

$74K - $99K/yr

Maintain and enhance real-time data interfaces, tools, and software for SCADA. * Stay updated on ... Demonstrates Entry Level understanding of operational practices of applicable equipment and ...

New

Proctor & Gamble

Data Scientist

Cincinnati, OH

$85K - $122K/yr

Data Analysis: Apply thorough technical knowledge to large datasets, conducting exploratory data ... Job Schedule Full time Job Number R000135859 Job Segmentation Entry Level Starting Pay / Salary ...

HR4Me

Entry Level Finance Analyst

Cincinnati, OH · On-site

Analyze financial data to identify trends, risks, and opportunities for growth, providing strategic recommendations to senior leadership. • Business Partnering: Collaborate with different ...

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All JobsData Analyst JobsEntry Level Data Analyst JobsEntry Level Data Analyst Jobs in Ohio

Entry Level Data Analyst information

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$12

$31

$58

How much do entry level data analyst jobs pay per hour?

As of Jul 14, 2026, the average hourly pay for entry level data analyst in Ohio is $31.30, according to ZipRecruiter salary data. Most workers in this role earn between $20.10 and $34.95 per hour, depending on experience, location, and employer.

Is 40 too late for data science?

Entry level data analysts and data scientists can start at any age, including 40, as long as they develop relevant skills such as programming, statistics, and data visualization. Many professionals successfully transition into data roles later in their careers by gaining certifications and practical experience.

Can you work as a data analyst without experience?

Entry level data analyst positions often do not require prior professional experience, but having skills in Excel, SQL, or data visualization tools can improve your chances. Many employers value relevant coursework, certifications, or internships that demonstrate your ability to analyze data effectively.

What does an Entry Level Data Analyst do?

An Entry Level Data Analyst is responsible for collecting, processing, and analyzing data to help organizations make informed decisions. They often work with spreadsheets, databases, and data visualization tools to identify trends and generate reports. Typical tasks include cleaning data, creating charts or dashboards, and supporting senior analysts or business teams with actionable insights. This role is ideal for individuals with strong analytical skills and a keen attention to detail, even if they have limited professional experience.

What is the difference between Entry Level Data Analyst vs Data Scientist?

AspectEntry Level Data AnalystData Scientist
Required CredentialsBachelor's degree in data-related field; basic knowledge of SQL, Excel, and data visualization toolsBachelor's or master's degree in data science, statistics, or related field; stronger programming and statistical skills
Work EnvironmentEntry-level roles in business, finance, marketing, or healthcare sectors; focus on data reporting and visualizationMore advanced roles often in tech, research, or large organizations; focus on predictive modeling and complex analysis
Employer & Industry UsageCommon in various industries for routine data analysis tasksUsed in industries requiring advanced analytics, machine learning, and predictive insights

While Entry Level Data Analysts focus on basic data collection, cleaning, and reporting, Data Scientists handle complex modeling, machine learning, and predictive analytics. The roles differ mainly in skill level, complexity, and scope of work, but both require a strong foundation in data handling and analysis.

What are some common challenges entry level data analysts face when transitioning from academic projects to real-world business environments?

Entry level data analysts often find that real-world datasets are messier and less structured than those in academic settings, requiring more time spent on data cleaning and preparation. Additionally, business environments may prioritize actionable insights over purely statistical rigor, so learning to communicate findings to non-technical stakeholders is crucial. Collaborating within cross-functional teams and managing multiple deadlines can also be a new challenge, but these experiences help analysts develop strong problem-solving and communication skills that are valuable for career growth.

Can I be a data analyst with no experience?

Entry level data analyst positions often do not require prior professional experience, but having foundational skills in Excel, SQL, or data visualization tools can improve your chances. Many employers value relevant coursework, certifications, or internships that demonstrate your ability to analyze data effectively.

Will AI replace a data analyst?

AI tools can automate routine data processing and basic analysis tasks, but data analysts are essential for interpreting complex data, making strategic decisions, and providing context. The role of a data analyst involves skills like critical thinking, communication, and domain knowledge that AI cannot fully replicate. Therefore, AI is more likely to augment rather than replace entry-level data analysts.

What are the 4 types of data analyst?

Data analysts can be categorized into four main types: business analysts, who focus on understanding business needs; data scientists, who develop advanced models and algorithms; data engineers, who build and maintain data pipelines; and operations analysts, who optimize processes using data insights. Entry-level data analysts often start with business or operations analysis, developing skills in tools like Excel, SQL, and visualization software.

What Does an Entry-Level Data Analyst Do?

The job duties of an entry-level data analyst include working to collect, manage, and analyze data. In this career, your responsibilities often revolve around performing research on business or industry data to define trends or assess performance in a particular sector. As an entry-level data analyst, you usually work as part of a team of analysts and statisticians who analyze data and then create reports to show their findings to relevant executives, stakeholders, and managers. In some situations, this analysis team may recommend actions based on research results.

Can a data analyst be entry-level?

Yes, entry-level data analyst positions are common and typically require basic skills in data analysis tools like Excel, SQL, or Python, along with a relevant degree such as in statistics, mathematics, or computer science. These roles often focus on learning and developing analytical skills under supervision and may require little to no prior professional experience.

What are the key skills and qualifications needed to thrive as an Entry Level Data Analyst, and why are they important?

To thrive as an Entry Level Data Analyst, you need strong analytical thinking, basic statistical knowledge, and proficiency in data management, typically supported by a bachelor’s degree in a quantitative field. Familiarity with tools such as Microsoft Excel, SQL, and data visualization platforms like Tableau or Power BI is commonly required. Attention to detail, effective communication, and a willingness to learn help set candidates apart in this role. These skills are vital for accurately interpreting data, generating actionable insights, and clearly conveying findings to support business decisions.
More about Entry Level Data Analyst jobs
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What job categories do people searching Entry Level Data Analyst jobs in Ohio look for? The top searched job categories for Entry Level Data Analyst jobs in Ohio are:
What cities in Ohio are hiring for Entry Level Data Analyst jobs? Cities in Ohio with the most Entry Level Data Analyst job openings:
Entry Level Data Analyst jobs near you
Infographic showing various Entry Level Data Analyst job openings in Ohio as of July 2026, with employment types broken down into 84% Full Time, 4% Part Time, and 12% Contract. Highlights an 100% In-person job distribution, with an average salary of $65,111 per year, or $31.3 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 15 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.

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