Data And Analytics Jobs in Ohio
Data And Analytics jobs in Ohio concentrate in financial services, healthcare, retail, and manufacturing, with the state ranking among the Midwest's most active markets for analytics talent at every level from entry-level analyst to senior data scientist. Columbus, Cleveland, and Cincinnati drive the bulk of hiring, where major employers such as Nationwide, Progressive, and Kroger maintain large analytics functions. The most consistently in-demand specialties are business intelligence, predictive modeling, and data engineering. Scan the live roles below and apply to whichever ones fit.
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Showing 5 of 32+ Data And Analytics 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 32 Data And Analytics Jobs in Ohio
Find roles in Ohio that match your experience and apply in just a few clicks.
Find Data And Analytics JobsData And Analytics Jobs by City in Ohio
Where Ohio roles are concentrated, by current openings.
Data And Analytics Job Market in Ohio
A snapshot from current Ohio openings, updated as new roles post.
Who's Hiring
Top Industries Hiring
- Accounting & Auditing
- Investment & Asset Management
- Consulting & Professional Services
What Ohio Employers Look For
The qualifications that appear most often in data and analytics jobs across Ohio.
- Bachelor's degree in data science, statistics, computer science, or a related quantitative field
- Proficiency in SQL and at least one programming language such as Python or R
- Experience with business intelligence tools like Tableau, Power BI, or Looker
- Ability to translate complex data findings into clear recommendations for business stakeholders
- Familiarity with cloud data platforms such as AWS, Azure, or Google Cloud
- Strong communication skills and demonstrated experience working cross-functionally with business teams
Data And Analytics Jobs in Ohio: Frequently Asked Questions
How do you become a data and analytics professional in Ohio?
Most data and analytics roles in Ohio require at least a bachelor's degree in a quantitative field such as statistics, mathematics, computer science, or information systems, and no state-issued license applies to this profession. Employers typically want candidates who can demonstrate proficiency in SQL, a scripting language, and at least one visualization tool. Earning a recognized certification such as a Google Data Analytics Certificate or a Microsoft Certified: Data Analyst Associate credential strengthens applications considerably in the Ohio market.
Which companies hire data and analytics professionals in Ohio?
Companies currently hiring data and analytics professionals in Ohio include Vertiv, NiSource, and JPMorganChase, per current listings on Migrate Mate as of November 2026. Ohio's concentration of insurance headquarters, large health systems, and consumer-goods companies means demand for analytics talent is consistent and broad across industries.
Which Ohio cities have the most data and analytics jobs?
Columbus, Westerville, and Cleveland account for the most data and analytics openings in Ohio. Columbus leads because it is home to the headquarters of major insurers and retailers that run large analytics divisions, while Cleveland's healthcare systems and financial firms drive consistent demand there, and Cincinnati's consumer-goods and banking sector anchors hiring in the southwest part of the state.
Are there remote data and analytics jobs in Ohio?
Yes, and more than most fields. About 89% of data and analytics openings tied to Ohio are remote or hybrid as of November 2026, reflecting how well this work translates to distributed teams. Roles focused on reporting, modeling, and business intelligence tend to be the most remote-friendly, while positions requiring close collaboration with on-site operations or data infrastructure teams are more likely to require in-office presence.
How can I get hired as a data and analytics professional in Ohio with little or no experience?
The most realistic entry path is through a business analyst, data associate, or reporting analyst role, which large Ohio employers such as Nationwide, Ohio State University Wexner Medical Center, and Fifth Third Bank regularly post as junior-level openings. Building a portfolio of projects using public datasets and earning an entry-level certification strengthens an application significantly. Adjacent roles in marketing analytics, financial reporting, or quality assurance at Ohio manufacturers also serve as common lateral entry points into a dedicated analytics career.
Where can I find and apply to data and analytics jobs in Ohio?
You can find and apply to data and analytics jobs in Ohio on Migrate Mate, which lists current Ohio openings across industries and experience levels. Search the listings to find roles that match your background and apply directly to the ones that fit.
See All 32 Data And Analytics Jobs in Ohio
Find roles in Ohio that match your experience and apply in just a few clicks.
Find Data And Analytics Jobs