Data Analyst Jobs in Ohio
Data Analyst jobs in Ohio are in strong demand, concentrated in healthcare systems, financial services, manufacturing, and retail analytics, with openings at every level from entry-level reporting analyst through senior and principal roles. Columbus, Cleveland, and Cincinnati account for the largest share of hiring, with well-established employers such as Nationwide, Progressive, and the Cleveland Clinic regularly seeking data professionals. The most in-demand specialties are healthcare analytics, insurance and risk modeling, and supply chain data analysis. Find a role that fits below and apply directly.
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Showing 5 of 104+ Data Analyst jobs
About the Role:
We are seeking an analytical and technically skilled Data Analytics Project Manager to oversee data-driven initiatives, develop reporting solutions, and improve the accuracy and accessibility of operational information. This is a full-time, on-site opportunity in Northeast Ohio. The Data Analytics Project Manager will combine hands-on data analysis, SQL development, Python scripting, business intelligence reporting, and technical project coordination to deliver solutions that improve business performance. This opportunity is ideal for someone with experience in data analytics, reporting automation, data integration, and cross-functional project management who enjoys solving complex business problems through technology.
Responsibilities:
- Manage data analytics and reporting projects from initial business requirements and project planning through development, implementation, validation, and completion.
- Collaborate with leadership, operations, finance, inventory management, and technology teams to identify analytical needs, establish reporting priorities, and define measurable project objectives.
- Develop project schedules, track milestones, monitor deliverables, identify risks, and communicate progress to technical and non-technical stakeholders.
- Extract, clean, transform, and analyze data from multiple enterprise systems using SQL, Python, relational databases, and analytical tools.
- Design and maintain interactive dashboards, automated reports, KPI tracking systems, and data visualizations using Power BI, Tableau, Looker, or similar platforms.
- Integrate information from ecommerce platforms, ERP applications, warehouse management systems, shipping providers, and other operational databases.
- Develop reporting solutions that monitor inventory levels, order processing, fulfillment efficiency, shipping costs, operational productivity, and key business performance indicators.
- Identify opportunities to automate manual reporting processes, streamline data collection, improve analytical workflows, and reduce reporting errors.
- Investigate data quality issues, validate reporting outputs, troubleshoot database or integration problems, and implement improvements to ensure accurate business information.
- Maintain project documentation, analytical methodologies, data definitions, reporting procedures, and technical specifications while supporting continuous improvement initiatives.
Qualifications:
- Bachelor's degree in Data Analytics, Data Science, Computer Science, Information Technology, Business Analytics, or a related technical field, or equivalent relevant experience.
- 2 to 3 years of experience in data analytics, technical project management, business intelligence, reporting development, or data-focused IT operations.
- Strong SQL proficiency, including extracting information from relational databases, writing complex queries, and preparing datasets for reporting and analysis.
- Experience using Python or a comparable scripting language for data manipulation, automation, reporting, and technical troubleshooting.
- Hands-on experience with Power BI, Tableau, Looker, or similar data visualization and business intelligence technologies.
- Working knowledge of data integrations, REST APIs, database connections, data transformations, and automated reporting workflows.
- Experience gathering business requirements, organizing technical projects, coordinating stakeholders, and managing project deliverables.
- Understanding of data quality, data validation, KPI development, operational analytics, and reporting accuracy.
- Strong analytical thinking, problem-solving, organizational, and time management capabilities.
- Excellent written and verbal communication skills, including the ability to explain analytical findings and technical information to business stakeholders.
Desired Qualifications:
- Experience analyzing data within manufacturing, ecommerce, warehousing, inventory management, supply chain, or logistics operations.
- Familiarity with ERP platforms, warehouse management systems, fulfillment software, and inventory reporting applications.
- Experience with Google BigQuery, cloud-based data warehouses, or cloud analytics platforms.
- Knowledge of Shopify, WooCommerce, ecommerce integrations, or order and shipping analytics.
- Familiarity with ETL/ELT processes, data modeling, database optimization, and automated data pipelines.
- Experience using AI-assisted analytics tools, workflow automation platforms, Agile methodologies, or project management software.
About the Role:
We are seeking an analytical and technically skilled Data Analytics Project Manager to oversee data-driven initiatives, develop reporting solutions, and improve the accuracy and accessibility of operational information. This is a full-time, on-site opportunity in Northeast Ohio. The Data Analytics Project Manager will combine hands-on data analysis, SQL development, Python scripting, business intelligence reporting, and technical project coordination to deliver solutions that improve business performance. This opportunity is ideal for someone with experience in data analytics, reporting automation, data integration, and cross-functional project management who enjoys solving complex business problems through technology.
Responsibilities:
- Manage data analytics and reporting projects from initial business requirements and project planning through development, implementation, validation, and completion.
- Collaborate with leadership, operations, finance, inventory management, and technology teams to identify analytical needs, establish reporting priorities, and define measurable project objectives.
- Develop project schedules, track milestones, monitor deliverables, identify risks, and communicate progress to technical and non-technical stakeholders.
- Extract, clean, transform, and analyze data from multiple enterprise systems using SQL, Python, relational databases, and analytical tools.
- Design and maintain interactive dashboards, automated reports, KPI tracking systems, and data visualizations using Power BI, Tableau, Looker, or similar platforms.
- Integrate information from ecommerce platforms, ERP applications, warehouse management systems, shipping providers, and other operational databases.
- Develop reporting solutions that monitor inventory levels, order processing, fulfillment efficiency, shipping costs, operational productivity, and key business performance indicators.
- Identify opportunities to automate manual reporting processes, streamline data collection, improve analytical workflows, and reduce reporting errors.
- Investigate data quality issues, validate reporting outputs, troubleshoot database or integration problems, and implement improvements to ensure accurate business information.
- Maintain project documentation, analytical methodologies, data definitions, reporting procedures, and technical specifications while supporting continuous improvement initiatives.
Qualifications:
- Bachelor's degree in Data Analytics, Data Science, Computer Science, Information Technology, Business Analytics, or a related technical field, or equivalent relevant experience.
- 2 to 3 years of experience in data analytics, technical project management, business intelligence, reporting development, or data-focused IT operations.
- Strong SQL proficiency, including extracting information from relational databases, writing complex queries, and preparing datasets for reporting and analysis.
- Experience using Python or a comparable scripting language for data manipulation, automation, reporting, and technical troubleshooting.
- Hands-on experience with Power BI, Tableau, Looker, or similar data visualization and business intelligence technologies.
- Working knowledge of data integrations, REST APIs, database connections, data transformations, and automated reporting workflows.
- Experience gathering business requirements, organizing technical projects, coordinating stakeholders, and managing project deliverables.
- Understanding of data quality, data validation, KPI development, operational analytics, and reporting accuracy.
- Strong analytical thinking, problem-solving, organizational, and time management capabilities.
- Excellent written and verbal communication skills, including the ability to explain analytical findings and technical information to business stakeholders.
Desired Qualifications:
- Experience analyzing data within manufacturing, ecommerce, warehousing, inventory management, supply chain, or logistics operations.
- Familiarity with ERP platforms, warehouse management systems, fulfillment software, and inventory reporting applications.
- Experience with Google BigQuery, cloud-based data warehouses, or cloud analytics platforms.
- Knowledge of Shopify, WooCommerce, ecommerce integrations, or order and shipping analytics.
- Familiarity with ETL/ELT processes, data modeling, database optimization, and automated data pipelines.
- Experience using AI-assisted analytics tools, workflow automation platforms, Agile methodologies, or project management software.
See All 104+ Data Analyst Jobs in Ohio
Find roles in Ohio that match your experience and apply in just a few clicks.
Find Data Analyst JobsData Analyst Jobs by City in Ohio
Where Ohio roles are concentrated, by current openings.
Data Analyst Job Market in Ohio
A snapshot from current Ohio openings, updated as new roles post.
Who's Hiring
Top Industries Hiring
- Healthcare & Medical Services
- Insurance
- Banking & Financial Services
- Accounting & Auditing
- Chemicals & Materials
What Ohio Employers Look For
The qualifications that appear most often in data analyst jobs across Ohio.
- Bachelor's degree in statistics, mathematics, computer science, or a related field
- Proficiency in SQL for querying and managing relational databases
- Experience with data visualization tools such as Tableau or Power BI
- Working knowledge of Python or R for data cleaning and analysis
- Familiarity with Excel and data modeling for business reporting purposes
- Strong written and verbal communication skills for presenting findings to stakeholders
Data Analyst Jobs in Ohio: Frequently Asked Questions
How do you become a data analyst in Ohio?
Data analyst work in Ohio does not require a state-issued license or registration, so the path runs through education and demonstrated skills. Most Ohio employers expect at least a bachelor's degree in a quantitative field such as statistics, computer science, or business analytics. Building proficiency in SQL, Python, and a visualization tool like Tableau, then completing a portfolio project or internship with an Ohio employer, is the most reliable way to move into a first role.
Which companies hire data analysts in Ohio?
Employers hiring data analysts in Ohio right now include Vertiv, NiSource, and JPMorganChase, based on current listings on Migrate Mate as of November 2026. Ohio's concentration of insurance carriers, major health systems, and large manufacturers means demand is spread across several industries rather than dominated by a single sector.
Which Ohio cities have the most data analyst jobs?
Columbus, Cleveland, and Cincinnati have the most data analyst openings in Ohio. Columbus drives volume through its dense concentration of insurance and financial services headquarters, Cleveland's large hospital networks and manufacturing firms generate consistent demand, and Cincinnati's consumer goods and logistics companies round out the market.
Are there remote data analyst jobs in Ohio?
Yes, and more than most fields. About 65% of data analyst openings tied to Ohio are remote or hybrid as of November 2026, reflecting how naturally suited the role is to desk-based, screen-driven work. Fully remote positions are most common in business intelligence, marketing analytics, and enterprise reporting, where outputs are delivered digitally and on-site presence adds little.
How can I get hired as a data analyst in Ohio with little or no experience?
The most realistic entry path is an internship or co-op with a large Ohio employer while completing a degree, since institutions such as Nationwide, Huntington Bancshares, and the major Ohio health systems run structured programs for students and recent graduates. Candidates without a degree can move laterally from adjacent roles such as business analyst associate or reporting coordinator. A portfolio of two or three completed data projects, along with a Google Data Analytics or similar credential, meaningfully strengthens an application for entry-level roles.
Where can I find and apply to data analyst jobs in Ohio?
You can find and apply to data 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 employers posting them.
See All 104+ Data Analyst Jobs in Ohio
Find roles in Ohio that match your experience and apply in just a few clicks.
Find Data Analyst Jobs