Analytics Engineer Jobs in Ohio
Analytics Engineer jobs in Ohio are in strong demand, with active hiring concentrated in financial services, healthcare IT, and manufacturing analytics, at levels from entry-level data associate through senior and staff engineer. Columbus, Cleveland, and Cincinnati anchor most of the openings, with established employers like JPMorgan Chase, Progressive, and Nationwide regularly recruiting analytics engineers to support large-scale data infrastructure and reporting pipelines. The most sought-after specialties in Ohio right now are dbt and Snowflake development, healthcare data modeling, and real-time pipeline engineering. Find a role that fits below and apply directly.
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As a Lead Software Engineer at JPMorganChase within the Employee Platforms, you are an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. As a core technical contributor, you are responsible for conducting critical technology solutions across multiple technical areas within various business functions in support of the firm's business objectives.
Job responsibilities
- Executes creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or breakdown technical problems
- Develops secure and high-quality production code, and reviews and debugs code written by others
- Drives team adoption of enterprise-authorized AI-assisted engineering practices within the work environment to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test strategy acceleration, incident/root-cause analysis support), while establishing consistent validation standards (secure coding, peer review, automated testing) and promoting reuse of effective patterns across the team.
- Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation.
- Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems
- Leads evaluation sessions with external vendors, startups, and internal teams to drive outcomes-oriented probing of architectural designs, technical credentials, and applicability for use within existing systems and information architecture
- Formal training, certification, or equivalent experience in Software Engineering with 5+ years of applied experience designing, developing, and delivering enterprise software solutions.
- Hands-on experience in system design, application development, testing, deployment, and operational support of scalable and resilient applications.
- Advanced proficiency in one or more programming languages, with demonstrated ability to develop high-quality, maintainable, and secure code.
- Demonstrated experience using AI-assisted software development tools to improve engineering efficiency, including code generation, code reviews, testing, troubleshooting, and documentation, while ensuring output quality, security, and performance standards.
- Strong understanding of Responsible AI practices within engineering workflows, including data sensitivity, secure handling of inputs and outputs, compliance with enterprise standards, and coaching team members on safe AI adoption.
- Proficient in all phases of the Software Development Life Cycle (SDLC), including requirements analysis, design, development, testing, deployment, monitoring, and support.
- Advanced understanding of Agile software development methodologies, CI/CD pipelines, application resiliency, observability, and security best practices.
- Experience developing and supporting technology solutions within the financial services industry or other highly regulated environments.
- Hands-on experience building and deploying cloud-native applications, leveraging modern cloud platforms, microservices, and distributed architectures.
- Strong server-side development experience with Java, JEE, Spring, Spring Boot, REST APIs, Kafka, JUnit, integration testing, and Behavior-Driven Development (BDD) practices.
- Proven programming and coding expertise with a passion for delivering high-quality, scalable, secure, and production-ready applications that drive business value.
- Strong analytical and problem-solving skills, with the ability to evaluate multiple solution options and make sound technical decisions with limited oversight.
- Working knowledge of financial services technology environments, controls, compliance expectations, and regulatory considerations.
- Experience in Computer Science, Computer Engineering, Mathematics, or a related technical field, or equivalent practical experience.
We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.
We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.
JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans
ABOUT THE TEAM
Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we're setting our businesses, clients, customers and employees up for success.
As a Lead Software Engineer at JPMorganChase within the Employee Platforms, you are an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. As a core technical contributor, you are responsible for conducting critical technology solutions across multiple technical areas within various business functions in support of the firm's business objectives.
Job responsibilities
- Executes creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or breakdown technical problems
- Develops secure and high-quality production code, and reviews and debugs code written by others
- Drives team adoption of enterprise-authorized AI-assisted engineering practices within the work environment to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test strategy acceleration, incident/root-cause analysis support), while establishing consistent validation standards (secure coding, peer review, automated testing) and promoting reuse of effective patterns across the team.
- Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation.
- Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems
- Leads evaluation sessions with external vendors, startups, and internal teams to drive outcomes-oriented probing of architectural designs, technical credentials, and applicability for use within existing systems and information architecture
- Formal training, certification, or equivalent experience in Software Engineering with 5+ years of applied experience designing, developing, and delivering enterprise software solutions.
- Hands-on experience in system design, application development, testing, deployment, and operational support of scalable and resilient applications.
- Advanced proficiency in one or more programming languages, with demonstrated ability to develop high-quality, maintainable, and secure code.
- Demonstrated experience using AI-assisted software development tools to improve engineering efficiency, including code generation, code reviews, testing, troubleshooting, and documentation, while ensuring output quality, security, and performance standards.
- Strong understanding of Responsible AI practices within engineering workflows, including data sensitivity, secure handling of inputs and outputs, compliance with enterprise standards, and coaching team members on safe AI adoption.
- Proficient in all phases of the Software Development Life Cycle (SDLC), including requirements analysis, design, development, testing, deployment, monitoring, and support.
- Advanced understanding of Agile software development methodologies, CI/CD pipelines, application resiliency, observability, and security best practices.
- Experience developing and supporting technology solutions within the financial services industry or other highly regulated environments.
- Hands-on experience building and deploying cloud-native applications, leveraging modern cloud platforms, microservices, and distributed architectures.
- Strong server-side development experience with Java, JEE, Spring, Spring Boot, REST APIs, Kafka, JUnit, integration testing, and Behavior-Driven Development (BDD) practices.
- Proven programming and coding expertise with a passion for delivering high-quality, scalable, secure, and production-ready applications that drive business value.
- Strong analytical and problem-solving skills, with the ability to evaluate multiple solution options and make sound technical decisions with limited oversight.
- Working knowledge of financial services technology environments, controls, compliance expectations, and regulatory considerations.
- Experience in Computer Science, Computer Engineering, Mathematics, or a related technical field, or equivalent practical experience.
We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.
We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.
JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans
ABOUT THE TEAM
Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we're setting our businesses, clients, customers and employees up for success.
See All 8 Analytics Engineer Jobs in Ohio
Find roles in Ohio that match your experience and apply in just a few clicks.
Find Analytics Engineer JobsAnalytics Engineer Jobs by City in Ohio
Where Ohio roles are concentrated, by current openings.
Analytics Engineer Job Market in Ohio
A snapshot from current Ohio openings, updated as new roles post.
Who's Hiring
What Ohio Employers Look For
The qualifications that appear most often in analytics engineer jobs across Ohio.
- Bachelor's degree in computer science, statistics, mathematics, or a related analytical field
- Proficiency in SQL and at least one programming language such as Python or Scala
- Experience with modern data transformation tools like dbt, Spark, or Airflow
- Hands-on work with cloud data platforms such as Snowflake, BigQuery, or Redshift
- Ability to translate business requirements into data models and analytical pipelines
- Familiarity with version control, CI/CD practices, and collaborative engineering workflows
Analytics Engineer Jobs in Ohio: Frequently Asked Questions
How do you become an analytics engineer in Ohio?
The most direct path into analytics engineering in Ohio is a bachelor's degree in computer science, data science, statistics, or a related field, followed by hands-on experience with SQL and a transformation tool like dbt. Ohio does not require a state-issued license or certification for this role. Large Ohio employers typically expect candidates to demonstrate proficiency through a portfolio of data modeling projects, and many prefer candidates who hold a vendor certification from Snowflake, dbt Labs, or a major cloud provider.
How much do analytics engineers make in Ohio?
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 analytics engineers in Ohio?
Employers hiring analytics engineers in Ohio right now include Medpace, Vertiv, and ANDHealth, based on current listings on Migrate Mate as of September 2026. Ohio's concentration of large financial services firms, regional health systems, and manufacturing headquarters means consistent demand for analytics engineers who can support complex, multi-source data environments.
Which Ohio cities have the most analytics engineer jobs?
Cincinnati, Columbus, and Beachwood have the most analytics engineer openings in Ohio. Columbus leads due to its dense cluster of insurance, financial services, and technology companies, while Cleveland and Cincinnati draw demand from regional health systems, consumer brands, and manufacturing firms that maintain significant analytics functions in those metros.
Are there remote analytics engineer jobs in Ohio?
Yes, and more than most fields. Analytics engineering is almost entirely desk-based work, which makes it one of the more remote-friendly disciplines in technology. About 0% of analytics engineer openings tied to Ohio are remote or hybrid as of September 2026, reflecting how widely employers have adopted distributed data teams. The portions of the role most likely to remain fully remote are pipeline development, data modeling, and documentation work.
How can I get hired as an analytics engineer in Ohio with little or no experience?
The most realistic entry path is moving from a data analyst or business intelligence analyst role into analytics engineering as you build SQL and dbt skills. Ohio employers such as large health systems, regional banks, and insurance carriers regularly hire junior data analysts or reporting analysts as stepping stones into the engineering track. Building a public portfolio with documented dbt models and a Snowflake or BigQuery project gives candidates without professional analytics engineering experience a concrete way to demonstrate readiness. Associate or new-graduate rotational programs at Columbus-based financial institutions and Cleveland-area health networks are also a practical entry point.
Where can I find and apply to analytics engineer jobs in Ohio?
You can find and apply to analytics engineer jobs in Ohio on Migrate Mate, which lists current Ohio openings across Columbus, Cleveland, Cincinnati, and surrounding areas. Find roles that fit your experience and specialization and apply directly through the listings on this page.
See All 8 Analytics Engineer Jobs in Ohio
Find roles in Ohio that match your experience and apply in just a few clicks.
Find Analytics Engineer Jobs