Data Analytics Engineer Jobs in Ohio
Data Analytics Engineer jobs in Ohio are in strong demand, with active hiring concentrated in financial services, healthcare, manufacturing, and logistics sectors and openings at every level from entry-level associate through senior staff engineer. Columbus, Cleveland, and Cincinnati are the primary hiring hubs, where established employers like Nationwide, Progressive Insurance, and Kroger have built out substantial data teams. Pipeline tooling, cloud data warehousing, and business intelligence integration are the most consistently sought specialties across Ohio postings. 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 35 Data Analytics Engineer Jobs in Ohio
Find roles in Ohio that match your experience and apply in just a few clicks.
Find Data Analytics Engineer JobsData Analytics Engineer Jobs by City in Ohio
Where Ohio roles are concentrated, by current openings.
Data Analytics Engineer 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 engineer jobs across Ohio.
- Bachelor's degree in computer science, information systems, or a related quantitative field
- Proficiency in SQL and at least one scripting language such as Python or Scala
- Hands-on experience building and maintaining ETL or ELT data pipelines
- Familiarity with cloud data platforms such as Snowflake, BigQuery, or Azure Synapse
- Experience with dbt, Apache Spark, or comparable data transformation and orchestration tools
- Strong communication skills to translate technical findings for non-technical Ohio business stakeholders
Data Analytics Engineer Jobs in Ohio: Frequently Asked Questions
How do you become a data analytics engineer in Ohio?
Data analytics engineering in Ohio carries no state-issued license or registration requirement, so the path runs through education and demonstrated technical skills. Most Ohio employers expect at least a bachelor's degree in computer science, information systems, mathematics, or a related field, though some accept equivalent bootcamp or associate-degree backgrounds paired with a strong portfolio. Building projects that show end-to-end pipeline work, earning cloud certifications, and targeting Ohio's finance and healthcare sectors first gives candidates a concrete starting point.
How much do data analytics engineers make in Ohio?
Data analytics engineers 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 engineers in Ohio?
Employers hiring data analytics engineers 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, regional banks, health systems, and legacy manufacturers means data engineering roles here often focus on operational reporting, claims analytics, and supply-chain data flows.
Which Ohio cities have the most data analytics engineer jobs?
Columbus, Westerville, and Cleveland hold the most data analytics engineer openings in Ohio. Columbus leads because it is home to the headquarters of major insurers and financial services firms, while Cleveland's health system and manufacturing base drives consistent demand, and Cincinnati benefits from Kroger's large corporate data function and a growing cluster of consumer-goods companies.
Are there remote data analytics engineer jobs in Ohio?
Yes, and more than most fields. About 80% of data analytics engineer openings tied to Ohio are remote or hybrid as of November 2026, reflecting the desk-based, cloud-centric nature of the work. Pipeline development, data modeling, and BI reporting tasks are the parts of the role most commonly performed fully remote, while on-site presence is more likely when a role involves close collaboration with embedded business teams.
How can I get hired as a data analytics engineer in Ohio with little or no experience?
The most realistic entry path is securing a data analyst or business intelligence analyst role first, then transitioning once you have demonstrated pipeline experience. Ohio's large health systems and insurance carriers, including the Cleveland Clinic, OhioHealth, and Nationwide, run structured new-grad and rotational analytics programs that accept candidates without prior industry experience. Building a public portfolio on GitHub showing dbt models or Airflow pipelines, and earning an entry-level cloud data certification, materially improves a candidate's standing with Ohio hiring managers.
Where can I find and apply to data analytics engineer jobs in Ohio?
You can find and apply to data analytics engineer jobs in Ohio on Migrate Mate, which lists current Ohio openings across all major hiring metros and industries. Find roles that fit your background and apply directly to each one without creating an account.
See All 35 Data Analytics Engineer Jobs in Ohio
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Find Data Analytics Engineer Jobs