ZipRecruiter

Log In

2

Entry Level Business Data Analyst Jobs in Ohio (NOW HIRING)

BrightView Health

Data Analyst I

Norwood, OH · On-site

$50K - $55K/yr

... Entry-level Data Analytics role. Works under regular guidance and review; supports existing ... Bachelor's degree in Data Analytics, Computer Science, Business, or related discipline Technical

New

Brightview Health

Data Analyst I

Norwood, OH · On-site

Entry-level Data Analytics role. Works under regular guidance and review; supports existing ... Bachelor's degree in Data Analytics, Computer Science, Business, or related discipline Technical

New

Professional Moving & Storage

Data Analyst

Columbus, OH · On-site

You will analyze data to understand business and market trends in order to increase company revenue and efficiency. Responsibilities: * Use data to understand business patterns and trends * Analyze ...

CapTech Consulting

Data Analyst

Columbus, OH · On-site

Quantify ambiguous business problems by analyzing business processes, data, and systems and gathering data requirements from clients * Implement data governance best practices by capturing data ...

CapTech Consulting

Data Analyst

Columbus, OH

Quantify ambiguous business problems by analyzing business processes, data, and systems and gathering data requirements from clients * Implement data governance best practices by capturing data ...

centralins

Data Analyst

Van Wert, OH · Hybrid

Join Central Insurance as a Data Analyst where you will play a pivotal role in transforming data into meaningful insights that drive business decisions and regulatory reporting. In this role, you ...

next page

Showing results 1-20

All JobsBusiness Data Analyst JobsEntry Level Business Data Analyst JobsEntry Level Business Data Analyst Jobs in Ohio

Entry Level Business Data Analyst information

See Ohio salary details

$13

$36

$65

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

As of Aug 29, 2026, the average hourly pay for entry level business data analyst in Ohio is $36.73, according to ZipRecruiter salary data. Most workers in this role earn between $24.66 and $45.91 per hour, depending on experience, location, and employer.

What does an entry level business data analyst do?

An Entry Level Business Data Analyst is responsible for collecting, processing, and analyzing data to help their organization make informed business decisions. They typically work with large datasets, create reports, and identify trends or patterns that can improve business processes. Their role often involves using software tools like Excel, SQL, and data visualization programs to present findings to management. Entry level analysts may also support senior analysts and collaborate with other departments to ensure data accuracy and relevance.

What are the key skills and qualifications needed to thrive as an entry level business data analyst?

To thrive as an Entry Level Business Data Analyst, you need a solid understanding of statistics, data analysis, and business fundamentals, often supported by a degree in business, mathematics, or a related field. Familiarity with Excel, SQL, and data visualization tools like Tableau or Power BI is typically required, and certifications such as Microsoft Certified Data Analyst Associate can be beneficial. Strong problem-solving abilities, attention to detail, and effective communication set standout analysts apart. These skills and qualities are vital for accurately interpreting data, conveying insights, and supporting data-driven decision making.

What are some typical challenges an entry level business data analyst might face when starting out, and how can they overcome them?

As an Entry Level Business Data Analyst, one common challenge is getting acquainted with complex datasets and understanding the business context behind the numbers. New analysts may also need to learn specialized tools and software quickly while adapting to the company's data processes. Collaborating with more experienced analysts and regularly seeking feedback can accelerate learning. Building strong communication skills to effectively present findings and ask clarifying questions ensures smoother integration into the team and more impactful analyses.

What is the difference between Entry Level Business Data Analyst vs Business Intelligence Analyst?

AspectEntry Level Business Data AnalystBusiness Intelligence Analyst
Required CredentialsBachelor's degree in Business, Data Science, or related field; basic SQL and Excel skillsBachelor's degree; often additional certifications in BI tools (e.g., Tableau, Power BI)
Work EnvironmentData analysis, reporting, and supporting decision-making in various industriesDesigning and developing BI solutions, dashboards, and data visualization
Employer & Industry UsageEntry-level roles in finance, healthcare, retail, and tech companiesMid-sized to large organizations focusing on data visualization and reporting

While both roles involve working with data to support business decisions, an Entry Level Business Data Analyst primarily focuses on data collection, cleaning, and basic analysis. In contrast, a Business Intelligence Analyst emphasizes creating dashboards and visualizations to communicate insights effectively. The roles often overlap, but BI Analysts typically require more specialized tools and experience.

What are the most commonly searched types of Business Data Analyst jobs in Ohio?

The most popular types of Business Data Analyst jobs in Ohio are:

What are popular job titles related to Entry Level Business Data Analyst jobs in Ohio?

For Entry Level Business Data Analyst jobs in Ohio, the most frequently searched job titles are:

What job categories do people searching Entry Level Business Data Analyst jobs in Ohio look for?

The top searched job categories for Entry Level Business Data Analyst jobs in Ohio are:

What cities in Ohio are hiring for Entry Level Business Data Analyst jobs?

Cities in Ohio with the most Entry Level Business Data Analyst job openings:

Entry Level Business Data Analyst jobs near you
Infographic showing various Entry Level Business Data Analyst job openings in Ohio as of August 2026, with employment types broken down into 78% Full Time, 17% Part Time, and 5% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $76,388 per year, or $36.7 per hour.

Business Data Analyst Intern - Hybrid

TransTech Group

Cleveland, OH • On-site

Other

Posted 10 days ago

Job description

TransTech Group

Internship – Business Data Analyst, AI & Fabric

Position Title: Internship – Business Data Analyst, AI & Fabric

Reports To: Manager of Business Analysis and Process

Location: Chagrin Falls, OH (Hybrid)

Hours: 32 hours/week

Compensation: Paid internship

Company Overview

TransTech is a leading provider of specialized infrastructure and custom-engineered equipment for diverse industries. Our expansive capacity and technical expertise enable large-scale production of complex, high-quality equipment while meeting rigorous quality and safety standards.

TransTech’s companies provide comprehensive solutions for gas and liquid processing, storage, transfer, and utilization, adhering to ASME, API, and TEMA standards to ensure reliability and precision in every project.

From individual services to full project solutions, TransTech’s teams deliver expert engineering, fabrication, construction, operations and maintenance, supporting projects nationally and internationally. We help customers achieve impactful, sustainable results with a commitment to safety, community, and environmental responsibility.

Job Summary

TransTech is seeking a Business Data Analyst Intern to support reporting, analytics, automation, and emerging AI initiatives in our Microsoft Fabric environment. With core business data now centralized in Fabric, this role will help turn that data into useful reporting, insights, and scalable business solutions.

The intern will work closely with the Manager of Business Analysis and Process and the Business Data Analyst, collaborating with both business and technical teams. You'll support Power BI reporting, help validate and organize data, assist with automation opportunities, and contribute to early AI-related projects — hands-on experience with modern enterprise analytics tools in a manufacturing and engineering environment.

What You'll Gain

  • Hands-on experience working in a live Microsoft Fabric and Power BI environment
  • Exposure to real business reporting and analytics across Finance, Operations, Supply Chain, and Project Management
  • Direct experience supporting data quality, automation, and emerging AI initiatives
  • The chance to contribute to meaningful business solutions in a manufacturing and engineering setting
  • Practical, cross-functional experience as part of a broader digital transformation effort
  • Mentorship from a Manager of Business Analysis and Process and a Business Data Analyst

Key Responsibilities

Reporting and Analytics Support

  • Assist in developing, updating, and maintaining Power BI dashboards and reports for business users.
  • Support reporting and analysis across Finance, Operations, Supply Chain, Project Management, and other functions.
  • Help users validate report outputs and confirm that business requirements are met.
  • Assist with recurring reporting, KPI tracking, and ad hoc analysis to support decision-making.

Microsoft Fabric Support

  • Work with curated data already available in Microsoft Fabric to support reporting and analysis needs.
  • Assist with organizing and maintaining Fabric assets such as semantic models, dataflows, reports, and related objects.
  • Help validate data accuracy, consistency, and usability for business reporting.
  • Support documentation of data definitions, report logic, and business rules used within the Fabric environment.

Data Quality and Business Support

  • Help identify data issues, missing values, inconsistencies, and opportunities to improve reporting reliability.
  • Assist in reconciling data across business processes and reports.
  • Support meetings with business users to understand reporting needs and follow up with analysis.
  • Help document metrics, requirements, and process improvements related to analytics initiatives.

Automation and AI Support

  • Assist with business process improvement opportunities that use Power Automate, reporting workflows, or AI-enabled solutions.
  • Support early AI use cases by helping organize source data, document needs, and participate in testing.
  • Assist with document-based or workflow-based pilot efforts where AI may help improve efficiency or reduce manual effort.
  • Work with internal teams and external partners to support implementation and testing of new analytics and AI solutions.

General Analytics Support

  • Help answer business questions using Excel, SQL, Power BI, or Fabric-based datasets.
  • Assist with special projects related to digital transformation, enterprise reporting, and operational analytics.
  • Contribute to a growing data and AI program by supporting both day-to-day reporting needs and longer-term capability building.

Preferred Qualifications

  • Familiarity with Excel, Power BI, SQL, Python, or other data analysis tools.
  • Strong attention to detail and interest in business data, reporting, and process improvement.
  • Exposure to Microsoft Fabric, Power Platform, SharePoint, or related Microsoft technologies is a plus.
  • Curious, detail-oriented, and eager to learn about data systems in a real-world business setting.

Education / Experience

  • Currently pursuing a Bachelor's degree in Data Analytics, Information Systems, Computer Science, Business, Finance, Engineering, or a related field.


This organization provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.


#TTE


Apply