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Data Analytics Engineer Jobs in Ohio (NOW HIRING)

Medpace, Inc.

Analytics Engineer

Cincinnati, OH · On-site

Job Summary The Medpace Data & Analytics team is growing and is focused on building a data-driven ... This role serves as a bridge between data engineering, business stakeholders, and analytics ...

Medpace, Inc.

Analytics Engineer

Cincinnati, OH · On-site

Job Summary The Medpace Data & Analytics team is growing and is focused on building a data-driven ... This role serves as a bridge between data engineering, business stakeholders, and analytics ...

CYNET SYSTEMS

Data Analytics

Mason, OH · On-site

$50 - $55/hr

Bachelor's degree in Computer Science, Information Technology, Engineering, Mathematics, Statistics, or related field. * 8+ years of experience in Data Analytics, Business Intelligence, Reporting, 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 ...

OH.io

GTM Engineer - Data & Analytics

Columbus, OH · On-site

$110K - $132K/yr

The GTM Engineer (Data & Analytics) will build data-driven GTM systems, automate pipelines, and provide actionable intelligence to drive revenue for OH.io and its portfolio companies.

OH.io

GTM Engineer - Data & Analytics

Columbus, OH · On-site

$110K - $132K/yr

The GTM Engineer (Data & Analytics) will build data-driven GTM systems, automate pipelines, and provide actionable intelligence to drive revenue for OH.io and its portfolio companies.

AndHealth

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 ... This is an embedded data partner role that sits close to Care Delivery. You'll be just as ...

AndHealth

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 ... This is an embedded data partner role that sits close to Care Delivery. You'll be just 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 Aug 25, 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.

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.

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 develop insights and reports.

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 August 2026, with employment types broken down into 1% As Needed, 79% Full Time, 15% Part Time, and 5% Contract. Highlights an 82% Physical, 4% Hybrid, and 14% Remote job distribution, with an average salary of $123,321 per year, or $59.3 per hour.

Data Analytics Engineer

Cincinnati, OH • On-site

Kanak Elite Services Inc
See more jobs at Kanak Elite Services Incexternal

$109K - $131K/yr

Contractor

Re-posted 20 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.