BI Analyst Jobs in Ohio
BI Analyst jobs in Ohio are actively posted across finance, healthcare, retail, and manufacturing sectors, with openings ranging from entry-level reporting roles through senior analytics positions. Columbus, Cleveland, and Cincinnati account for the largest share of hiring, where established employers like Nationwide, Progressive Insurance, and Fifth Third Bank have built out data and analytics teams over many years. The most sought-after specialties in Ohio right now are financial reporting, supply chain analytics, and healthcare operations intelligence. Find a role that fits below and apply directly.
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About the Role:
We are seeking a hands-on Business Intelligence Manager to develop reporting solutions, manage business analytics initiatives, and transform operational data into actionable insights. This is a full-time, on-site opportunity in Northeast Ohio. The Business Intelligence Manager will lead dashboard development, data integration, automated reporting, and data quality improvement projects across manufacturing, ecommerce, warehousing, and logistics operations. This is an individual contributor position with project leadership responsibilities, ideal for a business intelligence professional who enjoys working directly with SQL, Python, Power BI, data visualization, and database systems rather than focusing exclusively on people management.
Responsibilities:
- Design, develop, implement, and maintain business intelligence dashboards, automated reports, KPI scorecards, and analytical tools that support data-driven decision-making.
- Develop and optimize complex SQL queries, database views, reporting scripts, and data extraction processes to consolidate information from multiple operational systems.
- Analyze business performance data related to inventory management, order fulfillment, shipping expenses, warehouse productivity, operational costs, and process efficiency.
- Integrate data from ERP systems, warehouse management software, ecommerce platforms, shipping applications, and third-party data sources using APIs and database connections.
- Build and maintain automated reporting workflows, data transformation processes, and analytical solutions using Python, SQL, and business intelligence platforms.
- Collaborate with technology leadership, finance, operations, and department stakeholders to gather reporting requirements, define key performance indicators, and prioritize analytics projects.
- Identify data inconsistencies, perform data validation, troubleshoot reporting discrepancies, and implement quality controls to improve data accuracy and reliability.
- Lead business intelligence and reporting projects, including solution planning, development, testing, stakeholder review, implementation, and ongoing support.
- Evaluate opportunities to improve business intelligence capabilities through cloud analytics platforms, workflow automation, and AI-assisted data analysis.
- Develop and maintain documentation covering reporting logic, data sources, database relationships, dashboard definitions, and analytical processes.
Qualifications:
- Bachelor's degree in Data Analytics, Computer Science, Information Systems, Business Intelligence, Data Science, or a related field, or equivalent practical experience.
- 2 to 3 years of experience in business intelligence, data analytics, reporting development, data engineering, or a related analytical technology role.
- Strong SQL skills, including complex queries, joins, aggregations, data transformations, and database performance optimization.
- Hands-on experience developing dashboards, reports, and visualizations using Microsoft Power BI, Tableau, Looker, or comparable business intelligence platforms.
- Working knowledge of Python or a similar scripting language for data preparation, reporting automation, and analytical workflows.
- Experience integrating data from multiple software applications, relational databases, APIs, and enterprise systems.
- Understanding of data modeling, ETL processes, data validation, reporting logic, and data quality management.
- Ability to define business metrics, interpret operational data, identify trends, and translate analytical findings into actionable recommendations.
- Experience managing reporting initiatives, prioritizing analytics requests, and coordinating deliverables with business and technical stakeholders.
- Strong attention to detail, analytical problem-solving, communication, and technical documentation skills.
Desired Qualifications:
- Experience developing business intelligence solutions for manufacturing, supply chain, logistics, ecommerce, warehousing, or distribution operations.
- Familiarity with ERP platforms, warehouse management systems, inventory management tools, and order processing applications.
- Experience with Google BigQuery, cloud data warehouses, SQL-based analytics platforms, or related cloud technologies.
- Knowledge of Shopify, WooCommerce, ecommerce reporting, fulfillment analytics, or shipping cost analysis.
- Experience with advanced Power BI functionality, including DAX, Power Query, data modeling, and automated data refresh processes.
- Familiarity with data governance, workflow automation, AI-assisted analytics, internal application development, or low-code reporting tools.
About the Role:
We are seeking a hands-on Business Intelligence Manager to develop reporting solutions, manage business analytics initiatives, and transform operational data into actionable insights. This is a full-time, on-site opportunity in Northeast Ohio. The Business Intelligence Manager will lead dashboard development, data integration, automated reporting, and data quality improvement projects across manufacturing, ecommerce, warehousing, and logistics operations. This is an individual contributor position with project leadership responsibilities, ideal for a business intelligence professional who enjoys working directly with SQL, Python, Power BI, data visualization, and database systems rather than focusing exclusively on people management.
Responsibilities:
- Design, develop, implement, and maintain business intelligence dashboards, automated reports, KPI scorecards, and analytical tools that support data-driven decision-making.
- Develop and optimize complex SQL queries, database views, reporting scripts, and data extraction processes to consolidate information from multiple operational systems.
- Analyze business performance data related to inventory management, order fulfillment, shipping expenses, warehouse productivity, operational costs, and process efficiency.
- Integrate data from ERP systems, warehouse management software, ecommerce platforms, shipping applications, and third-party data sources using APIs and database connections.
- Build and maintain automated reporting workflows, data transformation processes, and analytical solutions using Python, SQL, and business intelligence platforms.
- Collaborate with technology leadership, finance, operations, and department stakeholders to gather reporting requirements, define key performance indicators, and prioritize analytics projects.
- Identify data inconsistencies, perform data validation, troubleshoot reporting discrepancies, and implement quality controls to improve data accuracy and reliability.
- Lead business intelligence and reporting projects, including solution planning, development, testing, stakeholder review, implementation, and ongoing support.
- Evaluate opportunities to improve business intelligence capabilities through cloud analytics platforms, workflow automation, and AI-assisted data analysis.
- Develop and maintain documentation covering reporting logic, data sources, database relationships, dashboard definitions, and analytical processes.
Qualifications:
- Bachelor's degree in Data Analytics, Computer Science, Information Systems, Business Intelligence, Data Science, or a related field, or equivalent practical experience.
- 2 to 3 years of experience in business intelligence, data analytics, reporting development, data engineering, or a related analytical technology role.
- Strong SQL skills, including complex queries, joins, aggregations, data transformations, and database performance optimization.
- Hands-on experience developing dashboards, reports, and visualizations using Microsoft Power BI, Tableau, Looker, or comparable business intelligence platforms.
- Working knowledge of Python or a similar scripting language for data preparation, reporting automation, and analytical workflows.
- Experience integrating data from multiple software applications, relational databases, APIs, and enterprise systems.
- Understanding of data modeling, ETL processes, data validation, reporting logic, and data quality management.
- Ability to define business metrics, interpret operational data, identify trends, and translate analytical findings into actionable recommendations.
- Experience managing reporting initiatives, prioritizing analytics requests, and coordinating deliverables with business and technical stakeholders.
- Strong attention to detail, analytical problem-solving, communication, and technical documentation skills.
Desired Qualifications:
- Experience developing business intelligence solutions for manufacturing, supply chain, logistics, ecommerce, warehousing, or distribution operations.
- Familiarity with ERP platforms, warehouse management systems, inventory management tools, and order processing applications.
- Experience with Google BigQuery, cloud data warehouses, SQL-based analytics platforms, or related cloud technologies.
- Knowledge of Shopify, WooCommerce, ecommerce reporting, fulfillment analytics, or shipping cost analysis.
- Experience with advanced Power BI functionality, including DAX, Power Query, data modeling, and automated data refresh processes.
- Familiarity with data governance, workflow automation, AI-assisted analytics, internal application development, or low-code reporting tools.
See All 38 BI Analyst Jobs in Ohio
Find roles in Ohio that match your experience and apply in just a few clicks.
Find BI Analyst JobsBI Analyst Jobs by City in Ohio
Where Ohio roles are concentrated, by current openings.
BI Analyst Job Market in Ohio
A snapshot from current Ohio openings, updated as new roles post.
Who's Hiring
Top Industries Hiring
- Education
- Technology & Software
- Banking & Financial Services
What Ohio Employers Look For
The qualifications that appear most often in BI analyst jobs across Ohio.
- Bachelor's degree in business analytics, statistics, computer science, or a related field
- Proficiency in SQL for querying and managing relational databases
- Hands-on experience with BI tools such as Power BI, Tableau, or MicroStrategy
- Ability to translate complex data findings into clear business recommendations
- Experience working with large datasets and building automated reporting dashboards
- Familiarity with data warehousing concepts and ETL processes
BI Analyst Jobs in Ohio: Frequently Asked Questions
How do you become a bi analyst in Ohio?
A bachelor's degree in business analytics, information systems, statistics, or a related field is the standard entry point for bi analyst roles in Ohio. There is no state-issued license required to work as a bi analyst in Ohio. Most Ohio employers expect candidates to demonstrate proficiency with at least one major BI platform such as Power BI or Tableau, along with a working knowledge of SQL. Building a portfolio of dashboards or reports strengthens applications considerably.
How much do BI analysts make in Ohio?
BI analysts in Ohio earn a median of about $102,630 a year, based on May 2025 Bureau of Labor Statistics wage data, ranging from around $61,710 for the lowest 10% to over $160,650 for the top 10%. Pay rises with experience, specialty, and employer.
Which companies hire bi analysts in Ohio?
Employers hiring bi analysts in Ohio right now include Medpace, FlightSafety International, and Amend, based on current listings on Migrate Mate as of November 2026. Ohio's concentration of insurance carriers, regional banks, and large health systems means demand is spread across both corporate headquarters and major regional operations centers.
Which Ohio cities have the most bi analyst jobs?
Cincinnati, Columbus, and Cleveland have the most bi analyst openings in Ohio. Columbus leads because it serves as the headquarters city for major insurers and financial services firms, while Cleveland's presence of large health systems and manufacturing companies and Cincinnati's retail and consumer goods sector anchor hiring in those metros.
Are there remote bi analyst jobs in Ohio?
Yes, and more than most fields. About 53% of bi analyst openings tied to Ohio are remote or hybrid as of November 2026, reflecting how well the work translates to distributed settings. Reporting, dashboard development, and ad hoc analysis are the tasks most consistently performed remotely, though roles tied to operational teams often require some in-office presence for stakeholder collaboration.
How can I get hired as a bi analyst in Ohio with little or no experience?
The most realistic entry path is a reporting analyst or junior data analyst role, which many Ohio employers use as a stepping stone into dedicated BI work. Large Ohio health systems like OhioHealth and Cleveland Clinic run structured new-grad programs in healthcare analytics, and financial institutions such as Nationwide and KeyBank hire associates through rotational analyst tracks. Candidates coming from adjacent roles in accounting, operations coordination, or market research who can demonstrate SQL skills and a self-built Tableau or Power BI dashboard are consistently competitive.
Where can I find and apply to bi analyst jobs in Ohio?
You can find and apply to bi analyst jobs in Ohio on Migrate Mate, which lists current Ohio openings across industries and experience levels. Find roles that fit your background and apply directly to the ones that match.
See All 38 BI Analyst Jobs in Ohio
Find roles in Ohio that match your experience and apply in just a few clicks.
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