Data Analytics Specialist Jobs in Ohio
Data Analytics Specialist jobs in Ohio are consistently active across healthcare, financial services, manufacturing, and retail sectors, with openings at every level from entry-level analyst to senior specialist. Columbus, Cleveland, and Cincinnati drive the largest share of hiring, with established employers like Nationwide, Progressive Insurance, and Kroger maintaining substantial analytics teams in the state. Demand is strongest in predictive modeling, business intelligence, and healthcare data analytics. Find a role that fits below and apply directly.
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Showing 5 of 34+ Data Analytics Specialist 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 34 Data Analytics Specialist Jobs in Ohio
Find roles in Ohio that match your experience and apply in just a few clicks.
Find JobsData Analytics Specialist Jobs by City in Ohio
Where Ohio roles are concentrated, by current openings.
Data Analytics Specialist 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 analytics specialist jobs across Ohio.
- Bachelor's degree in data analytics, statistics, computer science, or a related quantitative field
- Proficiency in SQL and at least one analytics or visualization tool such as Tableau or Power BI
- Experience with Python or R for data manipulation, analysis, and reporting
- Demonstrated ability to translate complex datasets into clear business recommendations for non-technical audiences
- Familiarity with cloud data platforms such as AWS, Azure, or Google Cloud in an analytics context
- Strong communication and stakeholder management skills for cross-functional Ohio team environments
Data Analytics Specialist Jobs in Ohio: Frequently Asked Questions
How do you become a data analytics specialist in Ohio?
A bachelor's degree in data analytics, statistics, computer science, or a related quantitative field is the standard entry point for this role in Ohio. No state-issued license is required. Ohio employers consistently expect demonstrated proficiency in SQL, a visualization tool such as Tableau or Power BI, and at least one programming language like Python. Earning a credential such as the Google Data Analytics Certificate or a Microsoft Power BI certification strengthens applications for competitive roles at Ohio's larger employers.
How much do data analytics specialists make in Ohio?
Data analytics specialists 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 data analytics specialists in Ohio?
Employers hiring data analytics specialists 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, regional banks, and large healthcare systems means analytics roles appear across a wider range of industries here than in many other states.
Which Ohio cities have the most data analytics specialist jobs?
Columbus, Westerville, and Cleveland have the most data analytics specialist openings in Ohio. Columbus leads because it is home to major insurance and financial services headquarters, a large state government employer base, and a growing technology sector, while Cleveland and Cincinnati contribute through their healthcare systems, manufacturing firms, and regional corporate headquarters that all maintain in-house analytics teams.
Are there remote data analytics specialist jobs in Ohio?
Yes, and more than most fields. About 89% of data analytics specialist openings tied to Ohio are remote or hybrid as of November 2026, reflecting how well-suited desk-based analytical work is to distributed arrangements. Roles focused on reporting, dashboard development, and business intelligence tend to be the most consistently remote, while positions requiring close collaboration with on-site operations teams are more likely to require in-person presence.
How can I get hired as a data analytics specialist in Ohio with little or no experience?
The most realistic entry path is applying for junior analyst or data analyst associate roles at Ohio's large healthcare systems, insurance carriers, and retail corporations, which regularly hire candidates from new-graduate pools. Employers like major Ohio health networks and regional banks offer rotational analyst programs designed for recent graduates. Building a portfolio of independent projects using publicly available datasets and earning a foundational credential such as the Google Data Analytics Certificate gives candidates a concrete edge when competing against others with similar academic backgrounds.
Where can I find and apply to data analytics specialist jobs in Ohio?
You can find and apply to data analytics specialist jobs in Ohio on Migrate Mate, which lists current Ohio openings across Columbus, Cleveland, Cincinnati, and smaller markets throughout the state. Find roles that fit your experience and specialization and apply directly to the employers posting them.
See All 34 Data Analytics Specialist Jobs in Ohio
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