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Data Analytics Engineer Jobs in Ohio (NOW HIRING)

AndHealth

Analytics Engineer, Data Platform

Columbus, OH · On-site

$110K - $132K/yr

Analytics Engineer, Data Platform Full Time Columbus, Ohio AndHealth is on a mission to radically improve access and outcomes for the most challenging chronic health conditions, with the goal of ...

Palmer Holland

Analytics Engineer

Westlake, OH · On-site

Director of Data Enablement | Location: Westlake, OH | Hybrid Role Summary The Analytics Product Engineer designs and delivers trusted analytics products that help Palmer Holland make faster, clearer ...

New

OCLC, Inc.

Analytics Engineer

Dublin, OH · On-site

Bachelor's degree in computer science, data science, related discipline, or equivalent work experience * 2-4 years of relevant experience in software development, data engineering, or data analysis.

OCLC, Inc.

Analytics Engineer

Dublin, OH · On-site

Bachelor's degree in computer science, data science, related discipline, or equivalent work experience * 2-4 years of relevant experience in software development, data engineering, or data analysis.

Western Reserve Group

Data Analytic Engineer I

Wooster, OH · On-site

$99K - $119K/yr

A Data & Analytics Engineer I is a on the Data Management Team responsible for supporting the development, maintenance, and delivery of enterprise data solutions. This role focuses on building ...

Schaeffler

Data & Analytics Specialist

Wooster, OH · On-site

The Data & Analytics Specialist will be responsible for developing data concepts, analyzing data ... Qualifications : Required : • Bachelor's degree in Industrial Engineering, Logistics, or ...

Further

Data & Analytics Strategy

Cleveland, OH · Hybrid

What experience should you have: * 10-15 years of experience in full scale customer journey and data ecosystems, with a track record of designing comprehensive analytics, measurement, and ...

Aimpoint Digital

$99K - $136K/yr

Aimpoint Digital is a dynamic and fully remote data and analytics consultancy. We work alongside the most innovative software providers in the data analytics & engineering space to solve our clients ...

Schaeffler

Data & Analytics Specialist

Wooster, OH · On-site

Consolidate data rules, analyze, extract and enrich data, proceed with complex mass data changes ... Bachelor's degree in Industrial Engineering, Logistics, or Technical field of study * 3 to 5 years ...

Schaeffler

Data & Analytics Specialist

Wooster, OH

Consolidate data rules, analyze, extract and enrich data, proceed with complex mass data changes ... Bachelor's degree in Industrial Engineering, Logistics, or Technical field of study * 3 to 5 years ...

Hylant

Lead Data & Analytics Architect

Cleveland, OH

The position serves as a technical authority and strategic partner across data engineering, analytics, and business teams. This role will be measured by its contribution to business outcomes such as ...

Hylant

Lead Data & Analytics Architect

Toledo, OH

The position serves as a technical authority and strategic partner across data engineering, analytics, and business teams. This role will be measured by its contribution to business outcomes such as ...

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All JobsData Analytics Engineer JobsData Analytics Engineer Jobs in Ohio

Data Analytics Engineer information

See Ohio salary details

$42.3K

$123.3K

$168.7K

How much do data analytics engineer jobs pay per year?

As of Jun 21, 2026, the average yearly pay for data analytics engineer in Ohio is $123,321.00, according to ZipRecruiter salary data. Most workers in this role earn between $108,900.00 and $130,700.00 per year, depending on experience, location, and employer.

How do Data Analytics Engineers typically collaborate with data scientists and business stakeholders on projects?

Data Analytics Engineers play a crucial role in bridging the gap between raw data and actionable insights by building, optimizing, and maintaining data pipelines. They often work closely with data scientists to ensure data is clean, accessible, and structured for advanced analytics or machine learning models. Additionally, they collaborate with business stakeholders to understand reporting requirements and ensure that data solutions align with organizational objectives. Regular communication and cross-functional teamwork are essential aspects of this role, as engineers must translate business needs into technical specifications and deliver reliable data products.

Can I be a data analyst in 3 months?

Becoming a data analyst in three months is challenging but possible with intensive study of core skills such as SQL, Excel, and data visualization tools like Tableau or Power BI. Success depends on prior experience, learning pace, and dedication, but typically, developing proficiency takes longer than three months for most individuals.

What engineers make $500,000?

Senior data analytics engineers with extensive experience, advanced skills in data modeling, and proficiency in tools like Python, SQL, and cloud platforms can earn $500,000 or more annually, especially in high-cost-of-living areas or within large tech companies. Achieving this level often requires a combination of technical expertise, leadership roles, and sometimes stock options or bonuses.

What are the key skills and qualifications needed to thrive as a Data Analytics Engineer, and why are they important?

To thrive as a Data Analytics Engineer, you need strong proficiency in data modeling, SQL, and statistical analysis, typically supported by a degree in computer science, statistics, or a related field. Familiarity with tools such as Python, R, Apache Spark, Tableau, and cloud data platforms like AWS or Google BigQuery is essential, along with relevant certifications. Excellent problem-solving, communication, and collaboration skills help you translate data insights into actionable business solutions. These skills and qualities are crucial for designing robust data pipelines and enabling data-driven decision-making across organizations.

Is AI replacing data analysts?

AI is transforming the role of data analysts by automating routine tasks such as data cleaning and basic analysis, allowing analysts to focus on more complex insights and strategic decision-making. However, data analysts are still essential for interpreting results, understanding business context, and communicating findings, making their skills valuable alongside AI tools. Continuous learning in data visualization, programming, and machine learning remains important for the role.

What is the difference between Data Analytics Engineer vs Data Scientist?

AspectData Analytics EngineerData Scientist
CredentialsBachelor's or master's in CS, Data Science, or related fields; certifications like Google Data AnalyticsBachelor's or master's in CS, Statistics, or related fields; certifications like Certified Data Scientist
Work EnvironmentFocus on building data pipelines, dashboards, and analytics toolsFocus on statistical modeling, machine learning, and data exploration
Employer & Industry UsageUsed across tech, finance, healthcare for data infrastructure and analyticsCommon in research, product development, and advanced analytics teams

While both roles work with data, Data Analytics Engineers primarily develop data infrastructure and tools for analysis, whereas Data Scientists focus on statistical modeling and machine learning to generate insights. They often collaborate but have distinct technical focuses.

What does a data analytics engineer do?

A data analytics engineer designs, builds, and maintains data pipelines and infrastructure to collect, process, and analyze large datasets. They use tools like SQL, Python, and cloud platforms to enable data-driven decision-making and often collaborate with data scientists and business teams to deliver actionable insights.
What are the most commonly searched types of Data Analytics Engineer jobs in Ohio? The most popular types of Data Analytics Engineer jobs in Ohio are:
What are popular job titles related to Data Analytics Engineer jobs in Ohio? For Data Analytics Engineer jobs in Ohio, the most frequently searched job titles are:
What job categories do people searching Data Analytics Engineer jobs in Ohio look for? The top searched job categories for Data Analytics Engineer jobs in Ohio are:
What cities in Ohio are hiring for Data Analytics Engineer jobs? Cities in Ohio with the most Data Analytics Engineer job openings:
Data Analytics Engineer jobs near you
Infographic showing various Data Analytics Engineer job openings in Ohio as of June 2026, with employment types broken down into 60% Full Time, 33% Part Time, and 7% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $123,321 per year, or $59.3 per hour.

Data Analytics Engineer

Kanak Elite Services Inc

Cincinnati, OH • On-site

$109K - $131K/yr

Contractor

Posted 15 days ago

Job description

Hi,
Hope your are doing well. 

My name is Anjali, and I am a Sr Technical Recruiter at Kanak IT Services LLC. I am reaching out to you regarding the following job opportunity. If you are interested, share me your updated resume on anjali08@kanakits.com.  


Role: DATA ANALYTICS ENGINEER

Location: Cincinnati, OH (onsite)

We are forward-thinking organization committed to harnessing the power of data to drive business success. We are seeking a skilled Data Visualization Developer with expertise in Spotfire and AWS Redshift to join our team and help us build and maintain robust data infrastructure.

 

Responsibilities:

  • Design, develop, and maintain reports using Tibco Spotfire
  • Optimize and manage existing reports.
  • Collaborate with data engineers, analysts, and other stakeholders to understand data requirements and deliver solutions.
  • Ensure data quality and integrity through rigorous testing and validation.
  • Monitor and troubleshoot data pipeline issues, ensuring timely resolution.
  • Develop and maintain documentation for data processes and architecture.
  • Stay updated with the latest trends and best practices in data engineering and AWS technologies.

 

Requirements:

  • Bachelor's degree in computer science, Information Technology, or related field.
  • Proven experience as a Data Engineer, with a focus on AWS Redshift.
  • Strong proficiency in SQL and database management.
  • Strong proficiency in Tibco Spotfire.
  • Familiarity with AWS services such as AWS Quick sight, AWS redshift
  • Knowledge of data warehousing concepts and best practices.
  • Excellent problem-solving skills and attention to detail.
  • Strong communication skills and ability to work collaboratively.
  • Knowledge on CICD process

 

Preferred Qualifications:

  • Certifications in Tibco Spotfire
  • Knowledge of programming languages such as Python, SQL etc.
  • Understanding of data governance and security practices.