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Analytic Engineer Jobs in Ohio (NOW HIRING)

Produce and analyze engineering data using pre-set tools, methods, and formats. Involves working independently. * Responsible for planning, preparing, and coordinating various aspects of exterior ...

Data Analyst / Engineer Location: Raymond, OH (Hybrid 4 days/week onsite and 1 day/week remote) Contract Duration: 14+ months Rate: $57/hr on W2 What will this person be working on In this role ...

Analytics Engineer, Care Operations

Columbus, OH · On-site

$67K - $90K/yr

Analytics Engineer, Care Operations Full Time - Exempt Columbus, Ohio AndHealth is on a mission to radically improve access and outcomes for the most challenging chronic health conditions, with the ...

Analytics Engineer, Care Operations

Columbus, OH · On-site

$67K - $90K/yr

Analytics Engineer, Care Operations Full Time - Exempt Columbus, Ohio AndHealth is on a mission to radically improve access and outcomes for the most challenging chronic health conditions, with the ...

Analytics Engineer, Care Operations Full Time - Exempt Columbus, Ohio AndHealth is on a mission to radically improve access and outcomes for the most challenging chronic health conditions, with the ...

Showing results 41-60

Analytic Engineer information

See Ohio salary details

$37.1K

$96.7K

$130.7K

How much do analytic engineer jobs pay per year?

As of Sep 7, 2026, the average yearly pay for analytic engineer in Ohio is $96,736.00, according to ZipRecruiter salary data. Most workers in this role earn between $79,900.00 and $110,800.00 per year, depending on experience, location, and employer.

What is the difference between Analytic Engineer vs Data Engineer?

AspectAnalytic EngineerData Engineer
CredentialsTypically requires a degree in data science, statistics, or related fields; often certifications in SQL, Python, or cloud platformsRequires a degree in computer science, software engineering, or related fields; certifications in cloud services, SQL, and data pipeline tools
Work EnvironmentFocuses on analyzing data, building data models, and creating dashboards; collaborates with data scientists and business teamsBuilds and maintains data pipelines, databases, and infrastructure; works closely with data engineers and software developers
Industry UsageCommonly found in analytics teams, business intelligence, and data-driven decision-making rolesPrimarily in data infrastructure, big data projects, and data platform development

In summary, Analytic Engineers focus on transforming data into insights through analysis and modeling, while Data Engineers build the infrastructure to support data collection and storage. Both roles are essential in data teams but serve different functions within the data ecosystem.

Are analytic engineers in demand?

Analytic engineers are in high demand due to the increasing reliance on data-driven decision making across industries. They often require skills in SQL, data modeling, and tools like Python or Spark, and employment opportunities are expected to grow as organizations prioritize analytics and data infrastructure.

Do analytics engineers make good money?

Analytics engineers typically earn competitive salaries that vary by experience, location, and industry. They often have skills in SQL, data modeling, and tools like dbt or Looker, which can contribute to higher compensation. Overall, the role is considered well-paying within the data and analytics field.

What does an analytic engineer do?

An analytic engineer designs, develops, and maintains data pipelines and systems to collect, process, and analyze large datasets. They often work with tools like SQL, Python, and cloud platforms to ensure data quality and accessibility for business insights and decision-making.

What cities in Ohio are hiring for Analytic Engineer jobs?

Cities in Ohio with the most Analytic Engineer job openings:

Infographic showing various Analytic Engineer job openings in Ohio as of August 2026, with employment types broken down into 90% Full Time, 4% Part Time, 1% Temporary, and 5% Contract. Highlights an 86% Physical, 5% Hybrid, and 9% Remote job distribution, with an average salary of $96,736 per year, or $46.5 per hour.

Other

Re-posted 9 days ago


Job description

The User Experience Development Test Engineer supports a global automotive company in Raymond, OH by validating the exterior marketability of vehicles against model-specific targets to meet or exceed customer expectations. This role leads testing activities, gathering both computational and physical vehicle data for exterior systems. When performance issues arise, the engineer develops and implements countermeasures in collaboration with cross-functional stakeholders, ensuring alignment with performance, business, and project goals.
Responsibilities:

  • Produce and analyze engineering data using pre-set tools, methods, and formats. Involves working independently.
  • Responsible for planning, preparing, and coordinating various aspects of exterior performance tests including arrangement of facilities, requesting technician support, and acquiring testing materials.
  • Physically support tests including confirmation that test setups are correct and that test plans are understood and executed to intent.
  • Prepare moderately complex documentation for review by technical leadership to record and submit all necessary development / testing / research information per the determined schedule.
  • Help coordinate and execute root cause analysis, countermeasure activites, and improvement intiatives to technical leadership.


Required Qualifications: 

  • 1+ years engineering experience based on education, co-op/internship included.
  • Bachelor of Science Degree in Mechanical, Aerospace Engineering, or equivalent.
  • Proficient in Microsoft Excel, Word, and Powerpoint.
  • Experience or knowledge with any of the following software or similar:
    • 3D CAD surface modeling CATiA or SolidWorks
    • Data acquisition software
    • FEA Software Abaqus, Nastran, Hypermesh, Ansa, Meta, LS-DYNA
    • Scripting in Java, Python, MATLAB


Preferred Qualifications:

  • Experience in data analysis and communication of complex information to engineering management is desired.