Business Intelligence Intern Jobs in Ohio
Business Intelligence Intern jobs in Ohio concentrate in financial services, healthcare analytics, retail technology, and manufacturing operations, with the largest share of openings in Columbus, Cleveland, and Cincinnati. Companies like Nationwide, Progressive, and Kroger maintain active internship pipelines in the state and regularly bring on business intelligence interns for data pipeline, dashboard development, and predictive analytics work. Ohio ranks among the more active Midwestern markets for early-career BI talent, with demand at both the undergraduate and graduate levels. See the openings below and apply to the ones that match your experience.
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At MPC, we’re committed to being a great place to work – one that welcomes new ideas, encourages diverse perspectives, develops our people, and fosters a collaborative team environment.
Position Summary
The Senior Business Intelligence Developer leads the design, development, and delivery of enterprise BI solutions that support strategic business objectives and data-driven decision making. This role manages BI projects from initiation through implementation, collaborates with Data Engineers to optimize data pipelines and ETL processes, and develops complex data models that transform structured and unstructured data into meaningful insights.
Working closely with business stakeholders, Data Governance teams, and technical partners, the Senior BI Developer translates analytical findings into actionable recommendations, ensures compliance with data governance and security standards, and drives continuous improvement of BI platforms and infrastructure. The role also provides technical leadership, mentors team members on BI best practices, and helps shape the organization's Business Intelligence strategy to maximize business value.
This position belongs to a family of jobs with increasing responsibility, competency, and skill level. Actual position title and pay grade will be based on the selected candidate’s experience and qualifications.
Key Responsibilities
- Leads Business Intelligence projects from initiation to completion.
- Collaborates with Data Engineers to optimize data pipelines and ETL processes.
- Executes data extraction from diverse sources, including structured and unstructured data.
- Collaborates cross-functionally to drive business decisions using Business Intelligence.
- Collaborates with Data Governance teams to ensure data compliance and security.
- Mentors and guides less experienced professionals in Business Intelligence best practices.
- Develops and maintains complex data models to extract meaningful business insights.
- Recommends improvements to existing Business Intelligence infrastructure.
- Interprets data findings and translates them into actionable business strategies.
- Oversees the integration of Business Intelligence tools with other business systems.
- Drives Business Intelligence strategies aligned with the company's business goals.
Education and Experience
- Bachelor’s Degree in Information Technology, related field or equivalent experience.
- 5+ years of relevant Business Intelligence Developer experience required.
- SQL: Proficient in writing table joins, aggregation, indexes, views, and nested queries
- Power BI: Proficient in Power Query transformations, writing measures in DAX, defining STAR schema models, creating user-friendly business visualizations using AI copilots to author and review code, and using Git to version control Power BI code.
Skills
- Analytical Thinking - Strong problem-solving skills to identify architectural challenges, analyze requirements, evaluate options, and propose effective solutions.
- Dashboard Reporting – The ability to access information from databases, forms, and other sources, and prepare reports according to requirements.
- Data Analysis – The process of measuring and managing organizational data, identifying methodological best practices, and conducting statistical analyses.
- Data Interpretations – Data interpretation involves analyzing and extracting meaningful insights from raw data, transforming it into a comprehensible and actionable format. It often requires the application of statistical methods, visualization techniques, and domain knowledge to derive informed conclusions and make data-driven decisions.
- Data Mining – Data mining is sorting through data to identify patterns and establish relationships. Data mining parameters include: Association - looking for patterns where one event is connected to another event Sequence or path analysis - looking for patterns where one event leads to another later event Classification - looking for new patterns [May result in a change in the way the data is organized but that's ok] Clustering - finding and visually documenting groups of facts not previously known Forecasting - discovering patterns in data that can lead to reasonable predictions about the future Data mining techniques are used in mathematics, cybernetics, and genetics. Web mining, a type of data mining used in customer relationship management [CRM], takes advantage of the huge amount of information gathered by a Web site to look for patterns in user behavior.
- Data Preparation – Data preparation, data wrangling, also known as data munging, refers to the process of cleaning, structuring, and transforming raw data into a suitable format for analysis or other purposes. It involves tasks such as handling missing values, standardizing formats, and merging datasets to ensure data quality and usability.
- Data Privacy – Ability to understand and implement practices that ensure the protection and confidential handling of personal and sensitive information. This includes knowledge of relevant laws and regulations (such as GDPR or HIPAA), the ability to design and enforce policies that safeguard data, and the skills to manage data access rights and consent protocols.
- Data Quality Management – Strong understanding of data quality dimensions, methodologies, and best practices to establish and maintain data quality standards and processes.
- Data Visualization – Skill in designing and creating compelling visualizations and data stories that effectively communicate insights and facilitate decision-making.
- Predictive Analytics – Augmented Analytics refers to the use of artificial intelligence and machine learning technologies to enhance data preparation, insight generation, and decision-making within analytics processes. It automates data analysis, identifies patterns, and provides natural language processing interfaces to empower non-technical users with actionable insights, making the analytics process more accessible and efficient.
- Structured Query Language (SQL) – SQL (Structured Query Language) is a standardized programming language designed for managing and manipulating relational databases. It enables users to interact with databases by defining, querying, updating, and managing data stored in a relational database management system (RDBMS). SQL allows users to perform various operations such as retrieving data, inserting new records, updating existing records, and deleting records, as well as creating and modifying database structures like tables, indexes, views, and stored procedures.
MINIMUM QUALIFICATIONS:
Bachelor’s Degree in Information Technology, related field or equivalent experience.
5+ years of relevant BI developer experience.
As an energy industry leader, our career opportunities fuel personal and professional growth.
Location:
Findlay, OhioAdditional locations:
Houston, Texas, San Antonio, TexasJob Requisition ID:
00024021Location Address:
539 S Main StEducation:
Bachelors: Information TechnologyEmployee Group:
Full timeEmployee Subgroup:
Regular
Marathon Petroleum Company LP is an Equal Opportunity Employer and gives consideration for employment to qualified applicants without discrimination on the basis of race, color, religion, creed, sex, gender (including pregnancy, childbirth, breastfeeding or related medical conditions), sexual orientation, gender identity, gender expression, reproductive health decision-making, age, mental or physical disability, medical condition or AIDS/HIV status, ancestry, national origin, genetic information, military, veteran status, marital status, citizenship or any other status protected by applicable federal, state, or local laws. If you would like more information about your EEO rights as an applicant, click here.
If you need a reasonable accommodation for any part of the application process at Marathon Petroleum LP, please contact our Human Resources Department at talentacquisition@marathonpetroleum.com. Please specify the reasonable accommodation you are requesting, along with the job posting number in which you may be interested. A Human Resources representative will review your request and contact you to discuss a reasonable accommodation. Marathon Petroleum offers a total rewards program which includes, but is not limited to, access to health, vision, and dental insurance, paid time off, 401k matching program, paid parental leave, and educational reimbursement. Detailed benefit information is available at https://mympcbenefits.com.The hired candidate will also be eligible for a discretionary company-sponsored annual bonus program.
Equal Opportunity Employer: Veteran / Disability
We will consider all qualified Applicants for employment, including those with arrest or conviction records, in a manner consistent with the requirements of applicable state and local laws. In reviewing criminal history in connection with a conditional offer of employment, Marathon will consider the key responsibilities of the role.
See All 19 Business Intelligence Intern Jobs in Ohio
Find roles in Ohio that match your experience and apply in just a few clicks.
Find JobsBusiness Intelligence Intern Jobs by City in Ohio
Where Ohio roles are concentrated, by current openings.
Business Intelligence Intern Job Market in Ohio
A snapshot from current Ohio openings, updated as new roles post.
Who's Hiring



Top Industries Hiring
- Education
- Banking & Financial Services
What Ohio Employers Look For
The qualifications that appear most often in business intelligence intern jobs across Ohio.
- Currently enrolled in a bachelor's or master's program in business analytics, data science, or information systems
- Proficiency in SQL for querying relational databases and manipulating large datasets
- Hands-on experience with BI tools such as Tableau, Power BI, or Looker
- Familiarity with Python or R for data cleaning, analysis, and visualization
- Ability to communicate data findings clearly to non-technical business stakeholders
- Experience with Microsoft Excel including pivot tables, VLOOKUP, and advanced formulas
Business Intelligence Intern Jobs in Ohio: Frequently Asked Questions
How do you become a business intelligence intern in Ohio?
The most direct path is enrolling in a business analytics, data science, management information systems, or statistics program at an Ohio university, then applying to internships during your sophomore or junior year. Ohio does not require a state-issued license to work as a business intelligence intern. Strong candidates complete coursework in SQL, data visualization, and statistics before applying, and many Ohio employers look for evidence of hands-on project work through coursework, capstone projects, or self-directed portfolio pieces.
Which companies hire business intelligence interns in Ohio?
Ohio business intelligence intern roles are posted by Great American Insurance, Quanex, and STERIS and others right now, based on current listings on Migrate Mate as of September 2026. Ohio's concentration of insurance carriers, large retailers, and regional health systems makes it a particularly active state for BI internship programs across multiple industries.
Which Ohio cities have the most business intelligence intern jobs?
Cincinnati, Akron, and Columbus lead Ohio for business intelligence intern openings. Columbus drives the largest share thanks to its dense cluster of insurance, fintech, and retail headquarters, while Cleveland's healthcare and manufacturing anchors generate consistent analytical internship demand, and Cincinnati's consumer goods and logistics employers round out the market.
Are there remote business intelligence intern jobs in Ohio?
Yes, and more than most fields, since business intelligence work is largely desk-based and centered on data systems that are accessible remotely. About 50% of business intelligence intern openings tied to Ohio are remote or hybrid as of September 2026, reflecting the role's compatibility with distributed work. Dashboard development, report building, and data cleaning tasks are the parts of the role most commonly performed fully remotely.
How can I get hired as a business intelligence intern in Ohio with little or no experience?
The most realistic entry path is applying directly to structured internship programs at large Ohio employers before accumulating significant professional experience. Companies like Nationwide, Huntington Bancshares, and the major Ohio health systems run formal intern cohorts designed for students without prior work history. Building a portfolio of SQL queries, Tableau dashboards, or Python notebooks from university coursework or public datasets gives Ohio hiring managers something concrete to evaluate, and targeting companies in Columbus or Cincinnati that post multiple intern roles each cycle increases your chances considerably.
Where can I find and apply to business intelligence intern jobs in Ohio?
You can find and apply to business intelligence intern jobs in Ohio on Migrate Mate, which lists current Ohio openings across industries and metro areas. Search the roles that fit your background, skills, and availability, then apply directly to the ones that match.
See All 19 Business Intelligence Intern Jobs in Ohio
Find roles in Ohio that match your experience and apply in just a few clicks.
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