Data Analytics Manager Jobs in Ohio
Data Analytics Manager jobs in Ohio are in strong demand, with consistent openings concentrated in healthcare, financial services, retail, and manufacturing analytics across seniority levels from senior analyst promotions to director-track leadership roles. Columbus, Cleveland, and Cincinnati account for the largest share of hiring, where major employers like JPMorgan Chase, Nationwide, and the Cleveland Clinic have established analytics practices. The most sought-after specialties in Ohio include customer and marketing analytics, supply chain data management, and healthcare performance reporting. 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 104+ Data Analytics Manager Jobs in Ohio
Find roles in Ohio that match your experience and apply in just a few clicks.
Find Data Analytics Manager JobsData Analytics Manager Jobs by City in Ohio
Where Ohio roles are concentrated, by current openings.
Data Analytics Manager 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 analytics manager jobs across Ohio.
- Bachelor's degree in data science, statistics, computer science, or a related quantitative field
- Demonstrated experience leading analytics teams and managing end-to-end data projects
- Proficiency in SQL, Python, or R alongside BI platforms such as Tableau or Power BI
- Ability to translate complex data findings into actionable recommendations for business stakeholders
- Experience with cloud data platforms such as AWS, Azure, or Google Cloud is frequently preferred
- Strong cross-functional collaboration skills working with finance, operations, or product teams
Data Analytics Manager Jobs in Ohio: Frequently Asked Questions
How do you become a data analytics manager in Ohio?
Most data analytics manager roles in Ohio require a bachelor's degree in data science, statistics, computer science, or a related field, with many employers preferring a master's degree or MBA. No state-issued license is required for this role in Ohio. Candidates typically advance by building several years of hands-on analytics experience, developing team leadership skills, and earning recognized credentials such as a Certified Analytics Professional designation to stand out in a competitive market.
How much do data analytics managers make in Ohio?
Data analytics managers 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 managers in Ohio?
Employers hiring data analytics managers in Ohio right now include Vertiv, NiSource, and JPMorganChase, based on current listings on Migrate Mate as of November 2026. Ohio's concentration of major insurance carriers, health systems, and retail headquarters makes it one of the more active Midwest states for analytics leadership roles.
Which Ohio cities have the most data analytics manager jobs?
Columbus, Cleveland, and Cincinnati have the most data analytics manager openings in Ohio. Columbus leads because of its density of insurance, financial services, and tech employers, while Cleveland's large health systems and manufacturing firms drive demand there, and Cincinnati's consumer goods and retail headquarters account for a consistent share of openings across the state.
Are there remote data analytics manager jobs in Ohio?
Yes, and more than most fields. About 65% of data analytics manager openings tied to Ohio are remote or hybrid as of November 2026, reflecting how naturally this desk-based, output-driven role translates to distributed work. Strategic reporting, model development, and stakeholder presentations are the parts of the role most commonly performed fully remotely.
How can I get hired as a data analytics manager in Ohio with little or no experience?
The most realistic path is moving into a data analytics manager role from a senior analyst or data engineer position within the same Ohio organization. Large Ohio employers such as Nationwide, Progressive, and OhioHealth run rotational analyst programs and internal leadership development tracks that prepare analysts for people management. Building a portfolio of end-to-end projects, earning a Certified Analytics Professional credential, and targeting team lead roles at mid-size Columbus or Cleveland firms are the most concrete steps toward your first manager title.
Where can I find and apply to data analytics manager jobs in Ohio?
You can find and apply to data analytics manager jobs in Ohio on Migrate Mate, which lists current Ohio openings updated regularly. Find the roles that fit your experience and location and apply directly to each one without creating a profile or signing up.
See All 104+ Data Analytics Manager Jobs in Ohio
Find roles in Ohio that match your experience and apply in just a few clicks.
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