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Entry Level Business Intelligence Jobs in Ohio (NOW HIRING)

HR4Me

Entry Level Finance Analyst

Cincinnati, OH · On-site

... Business Intelligence platforms • Bachelor's degree in Finance, Accounting, or related field • 2+ years of experience in financial planning and analysis roles Equal Opportunity Employer This ...

Chick-fil-A

Entry-level Leader

Beachwood, OH

$14 - $20/hr

The experiences provided can be a great launching point into a business career, an opportunity to ... High emotional intelligence * Strong commitment to superior customer service * Ability to manage ...

Sogeti

Entry Level Technology Consultant

Columbus, OH · On-site

As an Entry-Level Technology Consultant at Sogeti , you wi ll join one of our core practices based ... business insight. Artificial Intelligence touches every part of our work, giving you the ...

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All JobsBusiness Intelligence JobsEntry Level Business Intelligence JobsEntry Level Business Intelligence Jobs in Ohio

Entry Level Business Intelligence information

See Ohio salary details

$28K

$108.6K

$159.2K

How much do entry level business intelligence jobs pay per year?

As of Jul 28, 2026, the average yearly pay for entry level business intelligence in Ohio is $108,627.00, according to ZipRecruiter salary data. Most workers in this role earn between $89,400.00 and $135,500.00 per year, depending on experience, location, and employer.

Is 40 too old to become a data analyst?

Entry Level Business Intelligence roles often value skills and relevant training over age, and many professionals transition into data analysis later in their careers. Gaining proficiency in tools like Excel, SQL, and visualization software, along with certifications, can help regardless of age. Employers typically focus on skills and experience rather than age when hiring for entry-level positions.

How to start a career in business intelligence?

To start a career in business intelligence, gain foundational skills in data analysis, SQL, and data visualization tools like Tableau or Power BI. Obtain relevant education such as a degree in business, computer science, or related fields, and consider certifications like Certified Business Intelligence Professional to enhance your qualifications.

Is business intelligence still in demand?

Business intelligence professionals are in high demand as organizations increasingly rely on data analysis and visualization tools like Power BI and Tableau to make informed decisions. The role requires skills in data management, analytics, and familiarity with databases, and job growth is expected to continue as data-driven strategies become more essential across industries.

How does an entry-level Business Intelligence professional typically interact with other departments within a company?

Entry-level Business Intelligence professionals often collaborate closely with departments such as marketing, finance, and operations to gather data requirements and understand business objectives. They may attend cross-functional meetings to discuss reporting needs, translate business questions into data queries, and present their findings to non-technical stakeholders. Building strong communication skills and learning to explain data insights in a straightforward manner are key to succeeding in this collaborative environment.

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

AspectEntry Level Business IntelligenceData Analyst
Required CredentialsBachelor's in IT, Business, or related field; basic knowledge of BI toolsBachelor's in Statistics, Math, or related field; proficiency in data analysis tools
Work EnvironmentBusiness intelligence teams, IT departments, data-driven projectsData teams, marketing, finance, or operations departments
Employer & Industry UsageUsed across industries for reporting and dashboardsUsed for data interpretation, reporting, and insights across sectors
Common Search & ComparisonYesYes

Entry Level Business Intelligence roles focus on creating dashboards, reports, and supporting data-driven decision-making using BI tools. Data Analysts interpret data, perform statistical analysis, and generate insights. While both roles require similar educational backgrounds and work in data-centric environments, Business Intelligence positions emphasize reporting and visualization, whereas Data Analysts focus more on data interpretation and analysis.

What are the key skills and qualifications needed to thrive as an Entry Level Business Intelligence professional, and why are they important?

To thrive as an Entry Level Business Intelligence professional, you need analytical thinking, data interpretation skills, and a bachelor's degree in business, computer science, or a related field. Familiarity with data visualization tools (such as Tableau or Power BI), SQL databases, and Excel is typically required, while certifications in BI platforms can be advantageous. Strong problem-solving abilities, attention to detail, and effective communication help you translate complex data into actionable insights for stakeholders. These skills are crucial for ensuring that organizations make informed, data-driven decisions that support business growth.

What are entry level business intelligence jobs?

Entry level business intelligence jobs are positions that involve collecting, analyzing, and interpreting data to help organizations make informed business decisions. These roles typically include job titles like BI Analyst, Data Analyst, or Junior BI Developer and are suitable for recent graduates or those new to the field. Responsibilities often include creating reports, managing data sets, and using tools like SQL, Excel, and BI software such as Tableau or Power BI. Entry level positions provide foundational experience in data analytics, reporting, and business strategy.

Are there any entry-level AI jobs?

Entry-level AI jobs include roles such as AI analyst, data analyst, or machine learning assistant, often requiring skills in programming, data analysis, and familiarity with AI tools like Python or TensorFlow. These positions typically require a bachelor's degree in a related field and may involve internships or certifications to build relevant experience.
What are the most commonly searched types of Business Intelligence jobs in Ohio? The most popular types of Business Intelligence jobs in Ohio are:
What cities in Ohio are hiring for Entry Level Business Intelligence jobs? Cities in Ohio with the most Entry Level Business Intelligence job openings:
Entry Level Business Intelligence jobs near you
Infographic showing various Entry Level Business Intelligence job openings in Ohio as of July 2026, with employment types broken down into 81% Full Time, 13% Part Time, and 6% Contract. Highlights an 94% In-person, and 6% Remote job distribution, with an average salary of $108,627 per year, or $52.2 per hour.
Business Intelligence Analyst

Business Intelligence Analyst

Formica Corporation

Cincinnati, OH • On-site

Full-time

This job post has expired 1 day ago. Applications are no longer accepted.

Job description

We are seeking a curious, motivated, earlycareer Business Intelligence Analyst to join our growing analytics team. This role is ideal for candidates with strong academic or internship experience in data analytics, business analytics, or related fields who are excited to apply and expand their skills in real-world problem solving. While fluent in all things related to data analytics, the candidate should have a desire to understand business or operations workflows and fundamentals.

The ideal candidate brings strong academic or internship experience in business analytics, enjoys problem solving, and is eager to learn tools such as Qlik Sense and Alteryx.  They should also have a foundation in analytics concepts, an eye for detail, and a desire to understand new technologies and business processes. This role will directly support ongoing improvements to our analytics environment, including data modeling, dashboard development, and enabling self-service analytics for end users in multiple departments, with a specific focus on Operations.

Key Responsibilities

Business Intelligence Development

  • Build, maintain, and enhance dashboards and visualizations in Qlik (prior Qlik experience not required).
  • Develop repeatable data preparation workflows in Alteryx to support reporting and analysis needs.
  • Assist with creating automated reporting solutions and data pipelines.
  • Validate data logic, calculations, and visualizations for consistency and accuracy.

Data Analysis & Problem Solving

  • Perform exploratory data analysis to identify patterns, anomalies, and actionable insights.
  • Perform data validation and troubleshooting analysis to understand trends, errors, or anomalies.
  • Assist with data modeling tasks, including preparing new fields, refining dimensions, and supporting fact table logic.
  • Support analytics projects by translating business questions into analytical approaches with research, data validation, and clear documentation.

Collaboration & Communication

  • Work with cross-functional teams to understand requirements, refine user needs, and deliver data-driven recommendations.
  • Present findings in a clear, concise manner to business stakeholders.
  • Contribute to team best practices related to version control, visualization standards, and workflow management.
  • Respond to ad-hoc data and reporting requests, helping stakeholders find answers through self-service tools where possible.

Quality, Accuracy & Continuous Improvement

  • Contribute to larger BI initiatives such as data warehouse updates, dashboard redesigns, or analytics process improvements.
  • Support iterative development cycles by gathering user feedback, testing solutions, and documenting changes.
  • Proactively suggest enhancements to reports, workflows, or data structures.

 

Qualifications

Required

  • Bachelor’s degree in Business Analytics, Data Analytics, Information Systems, Statistics, or related field.
  • Academic or internship experience with data analysis, business analytics, or BI coursework.
  • Exposure to at least one visualization tool (Qlik Sense, Tableau, Power BI, Looker, etc.).
  • Familiarity with data modeling concepts (dimensions, facts, star schemas).
  • Strong analytical mindset, curiosity, and willingness to learn new tools and methods to break down ambiguous problems.
  • Foundational understanding of data modeling, structured problem solving, and analytics concepts.
  • Ability to communicate clearly with both technical and nontechnical users.

Preferred

  • Master’s degree or coursework in Business Analytics and/or major minor in Operations Management .
  • Previous BI or analytics internship or entry-level work experience.
  • Exposure to Manufacturing Operations
  • Understanding of best practices for data visualization, UX for dashboards, and data storytelling.
  • Experience working with data preparation tools (e.g., Alteryx, KNIME, SSIS).
  • Basic experience with SQL, Python, R, or another scripting/query language (coursework or project-based experience accepted).

 

Key Competencies

  • Analytical and critical thinking
  • Strong attention to detail and data accuracy
  • Ability to learn new tools and frameworks quickly
  • Problem-solving mindset and ability to break down complex issues
  • Professional curiosity and effective communication
  • Collaborative mindset and service-oriented approach
  • Comfort working with multiple stakeholders and shifting priorities

Apply