Data Analytics Lead Jobs in Ohio
Data Analytics Lead jobs in Ohio are consistently in demand, with strong hiring concentrated in financial services, healthcare, retail, and manufacturing sectors and openings at every level from analyst-to-lead transitions through senior and principal positions. Columbus, Cleveland, and Cincinnati drive the bulk of hiring, where established employers like JPMorgan Chase, Progressive, and Nationwide have long-standing analytics practices. The most sought-after specialties in Ohio are predictive modeling, business intelligence, and customer analytics. Find a role that fits below and apply directly.
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Showing 5 of 38+ Data Analytics 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 Analytics Lead Jobs in Ohio
Find roles in Ohio that match your experience and apply in just a few clicks.
Find Data Analytics Lead JobsData Analytics Lead Jobs by City in Ohio
Where Ohio roles are concentrated, by current openings.
Data Analytics 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 analytics lead jobs across Ohio.
- Bachelor's or master's degree in data science, statistics, mathematics, or a related field
- Five or more years of experience in analytics with at least two years in a lead or supervisory capacity
- Proficiency in SQL, Python, or R alongside visualization tools such as Tableau or Power BI
- Demonstrated ability to translate complex data findings into actionable business recommendations
- Experience leading cross-functional analytics projects and mentoring junior analysts
- Familiarity with cloud data platforms such as Snowflake, AWS, or Azure in an enterprise environment
Data Analytics Lead Jobs in Ohio: Frequently Asked Questions
How do you become a data analytics lead in Ohio?
Data analytics lead roles in Ohio require no state-issued license or registration, so the path runs through education and experience. Most Ohio employers expect a bachelor's degree in a quantitative field such as statistics, computer science, or business analytics, with a master's degree preferred at larger firms. Candidates typically spend several years as an analyst or senior analyst before moving into a lead role, building proficiency in SQL, Python, and a major BI platform along the way.
How much do data analytics leads make in Ohio?
Data analytics 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 analytics leads in Ohio?
Employers hiring data analytics 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 large financial services firms, insurance carriers, and integrated health systems means analytics lead roles appear consistently throughout the year rather than only in seasonal bursts.
Which Ohio cities have the most data analytics lead jobs?
Columbus, Westerville, and Cleveland account for the most data analytics lead openings in Ohio. Columbus leads because it is home to major insurance and financial services headquarters, while Cleveland's strength in healthcare systems and manufacturing analytics and Cincinnati's consumer goods and retail sector bring steady demand across all three metros.
Are there remote data analytics lead jobs in Ohio?
Yes, and more than most fields. Analytics lead work is largely desk-based and deliverable-driven, making it well suited to remote arrangements. About 89% of data analytics lead openings tied to Ohio are remote or hybrid as of November 2026, reflecting how broadly Ohio employers have adopted flexible work for this role. Strategic planning, stakeholder reporting, and model development are the functions most commonly performed fully remotely.
How can I get hired as a data analytics lead in Ohio with little or no experience?
The most realistic entry path is securing an analyst or business intelligence analyst role first, then building toward a lead title from within. Ohio's large healthcare systems, including OhioHealth and Cleveland Clinic, and insurers such as Medical Mutual run structured analytics rotational or associate programs that accept candidates with strong academic backgrounds but limited work history. Building a portfolio of end-to-end projects using publicly available datasets and earning a recognized certification in a BI platform or cloud data tool significantly strengthens applications at this level.
Where can I find and apply to data analytics lead jobs in Ohio?
You can find and apply to data analytics lead jobs in Ohio on Migrate Mate, which lists current Ohio openings from employers actively hiring for this role. Find the roles that fit your background and apply directly without creating a profile or signing up first.
See All 38 Data Analytics Lead Jobs in Ohio
Find roles in Ohio that match your experience and apply in just a few clicks.
Find Data Analytics Lead Jobs