Analytics Manager Jobs in Ohio
Analytics Manager jobs in Ohio are consistently active, with demand concentrated in financial services, healthcare, retail, and manufacturing sectors across a range from entry-level analyst leads to senior director-adjacent roles. Columbus, Cleveland, and Cincinnati are the three largest hiring metros, home to established employers such as Nationwide, Progressive, and Kroger, all of which maintain sizable analytics functions in Ohio. The most in-demand specialties are marketing analytics, business intelligence, and supply chain analytics. Find a role that fits below and apply directly.
Find Analytics Manager JobsOverview
Showing 5 of 26+ Analytics Manager 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 26 Analytics Manager Jobs in Ohio
Find roles in Ohio that match your experience and apply in just a few clicks.
Find Analytics Manager JobsAnalytics Manager Jobs by City in Ohio
Where Ohio roles are concentrated, by current openings.
Analytics Manager Job Market in Ohio
A snapshot from current Ohio openings, updated as new roles post.
Who's Hiring
Top Industries Hiring
- Retail
- Accounting & Auditing
- Investment & Asset Management
- Consulting & Professional Services
What Ohio Employers Look For
The qualifications that appear most often in analytics manager jobs across Ohio.
- Bachelor's degree in analytics, statistics, computer science, or a related quantitative field
- Proficiency in SQL and at least one analytics platform such as Tableau or Power BI
- Three or more years of experience leading analytics projects or managing analyst teams
- Demonstrated ability to translate data findings into strategic recommendations for business stakeholders
- Experience with Python, R, or similar scripting languages for data manipulation and modeling
- Familiarity with cloud data environments such as AWS, Google Cloud, or Microsoft Azure
Analytics Manager Jobs in Ohio: Frequently Asked Questions
How do you become a analytics manager in Ohio?
Becoming an analytics manager in Ohio typically starts with a bachelor's degree in statistics, data science, business analytics, or a closely related field, followed by several years of hands-on analyst work. No state-issued license is required for this role in Ohio. Ohio employers strongly favor candidates who have progressed through individual contributor analytics roles, built proficiency in tools like SQL and Tableau, and can demonstrate project leadership or team oversight experience.
Which companies hire analytics managers in Ohio?
Employers hiring analytics managers in Ohio right now include Procter & Gamble, Vertiv, and JPMorganChase, based on current listings on Migrate Mate as of November 2026. Ohio's concentration of insurance, financial services, and retail headquarters means many of these openings sit within large, established corporate analytics teams rather than startups.
Which Ohio cities have the most analytics manager jobs?
Cincinnati, Columbus, and Cleveland account for the largest share of analytics manager openings in Ohio. Columbus leads because of its dense cluster of insurance, retail, and financial services headquarters, while Cleveland's healthcare systems and manufacturing firms drive steady hiring, and Cincinnati's consumer goods and logistics companies round out the major demand centers.
Are there remote analytics manager jobs in Ohio?
Yes, and more than most fields. About 88% of analytics manager openings tied to Ohio are remote or hybrid as of November 2026, reflecting how naturally suited the role is to distributed work. Responsibilities focused on dashboard development, reporting, and data modeling are most commonly performed remotely, while roles requiring frequent executive presentations or cross-functional workshop facilitation tend to expect more in-person presence.
How can I get hired as a analytics manager in Ohio with little or no experience?
The most realistic entry path is moving up from a data analyst or business analyst role within an Ohio company that promotes from within, such as those in Columbus's insurance sector or Cleveland's healthcare systems. Building a portfolio of self-directed projects using public datasets and earning credentials like the Google Data Analytics Certificate or a Microsoft Power BI certification strengthens a candidate's profile. Applying for rotational analyst programs at larger Ohio employers is another concrete avenue for those newer to the field.
Where can I find and apply to analytics manager jobs in Ohio?
You can find and apply to analytics manager jobs in Ohio on Migrate Mate, which lists current Ohio openings from employers actively hiring. Find the roles that fit your experience and location, and apply directly to each one.
See All 26 Analytics Manager Jobs in Ohio
Find roles in Ohio that match your experience and apply in just a few clicks.
Find Analytics Manager Jobs