Director Of Data Analytics Jobs in Ohio
Director Of Data Analytics jobs in Ohio are in strong and consistent demand, concentrated in financial services, healthcare systems, retail, and manufacturing analytics across organizations that range from growing mid-market firms to Fortune 500 headquarters. Columbus, Cleveland, and Cincinnati account for the largest share of openings, with established employers such as Nationwide, Cleveland Clinic, and Procter and Gamble regularly hiring at this level. The most sought-after specialties in Ohio include enterprise analytics strategy, healthcare data governance, and customer and commercial analytics. Find a role that fits below and apply directly.
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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 Director Of Data Analytics Jobs in Ohio
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Find JobsDirector Of Data Analytics Jobs by City in Ohio
Where Ohio roles are concentrated, by current openings.
Director Of Data 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 director of data analytics jobs across Ohio.
- Bachelor's or master's degree in data science, statistics, business analytics, or a related field
- Seven or more years of progressive analytics experience including people management responsibilities
- Proven ability to build and lead cross-functional data and analytics teams at scale
- Deep proficiency in SQL, Python, or R alongside BI platforms such as Tableau or Power BI
- Experience translating complex data insights into executive-level strategy and business decisions
- Familiarity with cloud data platforms including Snowflake, Azure, or AWS in an enterprise environment
Director Of Data Analytics Jobs in Ohio: Frequently Asked Questions
How do you become a director of data analytics in Ohio?
There is no state-issued license required to work as a director of data analytics in Ohio. Most Ohio employers expect a bachelor's degree at minimum, with a master's in data science, business analytics, or information systems giving candidates a meaningful edge. Ohio universities including Ohio State, Case Western Reserve, and University of Cincinnati offer strong graduate programs in these fields. From there, progression typically moves through analyst, senior analyst, and manager roles before reaching the director level.
Which companies hire director of data analyticss in Ohio?
Employers hiring director of data analyticss 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, health systems, and consumer goods companies means demand for analytics leadership is distributed across a wide range of industries rather than being limited to tech-sector employers.
Which Ohio cities have the most director of data analytics jobs?
Columbus, Westerville, and Cleveland have the most director of data analytics openings in Ohio. Columbus leads because it is home to major financial services and insurance headquarters, Columbus's growing tech sector, and Ohio State's affiliated research and health system, while Cleveland's concentration of healthcare institutions and manufacturing corporations and Cincinnati's consumer goods and retail analytics presence drive strong demand in those metros as well.
Are there remote director of data analytics jobs in Ohio?
Yes, and more than most fields, since director of data analytics work is largely desk-based and output-driven rather than tied to a physical location. About 89% of director of data analytics openings tied to Ohio are remote or hybrid as of November 2026, reflecting how normalized distributed analytics leadership has become. Strategy, reporting, and team oversight functions are the most consistently offered in remote formats, while roles requiring close coordination with on-site operations teams tend to be hybrid.
How can I get hired as a director of data analytics in Ohio with little or no experience?
The most realistic entry path is building depth as a senior analytics manager or analytics engineering lead, then positioning for a director role once you have direct reports and a cross-functional project portfolio. Large Ohio employers such as Cleveland Clinic, Nationwide, and Huntington Bancshares run internal analytics rotational and leadership development programs that move high-performing managers into director-track roles. A graduate degree in analytics or data science, combined with a demonstrable portfolio of business-impact projects, is the credential that most consistently opens the door.
Where can I find and apply to director of data analytics jobs in Ohio?
You can find and apply to director of data analytics jobs in Ohio on Migrate Mate, which lists current Ohio openings updated regularly. Find the roles that fit your background and apply directly to the ones that match.
See All 34 Director Of Data Analytics Jobs in Ohio
Find roles in Ohio that match your experience and apply in just a few clicks.
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