Data Analyst Lead Jobs in Ohio
Data Analyst Lead jobs in Ohio are concentrated in Columbus, Cleveland, and Cincinnati, where employers like Nationwide Insurance, Progressive, and Kroger run large data teams that require experienced leads. The role's most in-demand specialties in Ohio center on insurance analytics, retail and supply chain data, and healthcare intelligence, reflecting the state's dominant industries. Companies at this level typically expect candidates who can own data pipelines, manage junior analysts, and translate findings into business decisions. Scan the live roles below and apply to whichever ones fit.
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Showing 5 of 38+ Data Analyst Lead 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 38 Data Analyst Lead Jobs in Ohio
Find roles in Ohio that match your experience and apply in just a few clicks.
Find Data Analyst Lead JobsData Analyst Lead Jobs by City in Ohio
Where Ohio roles are concentrated, by current openings.
Data Analyst Lead 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 analyst lead jobs across Ohio.
- Bachelor's degree in data science, statistics, computer science, or a closely related field
- Five or more years of experience in data analytics with at least two in a lead role
- Advanced proficiency in SQL and at least one major business intelligence tool such as Tableau or Power BI
- Demonstrated experience mentoring analysts and owning end-to-end reporting workflows
- Strong Python or R skills for statistical modeling and data pipeline development
- Experience translating data insights into strategic recommendations for non-technical stakeholders
Data Analyst Lead Jobs in Ohio: Frequently Asked Questions
How do you become a data analyst lead in Ohio?
The path to a data analyst lead role in Ohio typically starts with a bachelor's degree in data science, statistics, computer science, or a related quantitative field, followed by several years of hands-on analytics work. There is no state-issued license required in Ohio for this role. Employers in Columbus, Cleveland, and Cincinnati look for candidates who have progressed from analyst to senior analyst and can demonstrate leadership over data projects, mentorship of junior team members, and ownership of analytics infrastructure.
How much do data analyst leads make in Ohio?
Data analyst leads 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 analyst leads in Ohio?
Employers hiring data analyst leads 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, large retailers, and health systems creates consistent demand for experienced data leads across the state.
Which Ohio cities have the most data analyst lead jobs?
Columbus, Westerville, and Cleveland account for the largest share of data analyst lead openings in Ohio. Columbus leads because of its density of insurance, financial services, and technology companies, while Cleveland and Cincinnati add substantial volume through healthcare systems, manufacturing analytics, and consumer goods headquarters that require senior data leadership.
Are there remote data analyst lead jobs in Ohio?
Yes, and more than most fields. Data analyst lead work is almost entirely desk-based and digital, making it well suited to remote and hybrid arrangements. About 89% of data analyst lead openings tied to Ohio are remote or hybrid as of November 2026, which is above average compared to most professional roles. Strategic planning and stakeholder-facing responsibilities are the parts most likely to require occasional in-person presence.
How can I get hired as a data analyst lead in Ohio with little or no experience?
The most realistic entry path is to join a large Ohio employer as a junior or mid-level data analyst and build toward a lead designation from within. Nationwide, Progressive, and Ohio State Wexner Medical Center, among others, run structured analytics teams where analysts can move into lead roles by taking ownership of projects and mentoring peers. Building a portfolio in SQL, Python, and a BI tool like Tableau, and earning a recognized certification such as the Google Data Analytics Certificate, gives candidates a meaningful edge when applying to these entry-level-to-lead pipelines.
Where can I find and apply to data analyst lead jobs in Ohio?
You can find and apply to data analyst lead jobs in Ohio on Migrate Mate, which lists current Ohio openings for this role. Search the listings to find roles that match your experience level, preferred location, and industry, then apply directly to the ones that fit.
See All 38 Data Analyst Lead Jobs in Ohio
Find roles in Ohio that match your experience and apply in just a few clicks.
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