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Data Analytics Engineer Jobs in Columbus, OH (NOW HIRING)

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 ...

iSpace, Inc

Data Engineer/Analyst

Raymond, OH · On-site

$57/hr

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 ...

Pwc

Data Engineer - Senior Manager

Columbus, OH · On-site

$124K - $280K/yr

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Manager & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced technologies ...

Hillenbrand

Vice President, Data & Analytics

Columbus, OH · On-site +1

$173K - $224K/yr

The Vice President, Data & Analytics provides executive leadership for the organization's data ... engineering * Expert-level Databricks (or similar technology): Delta Lake internals (MERGE/CDC ...

Pwc

Data Engineer - Manager

Columbus, OH

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Manager & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and ...

EASE Logistics

Senior Data Analyst

Dublin, OH · On-site

$81K - $102K/yr

Experience with ADF or analytics engineering practices for building and testing data models preferred. * Python or R for exploratory analysis and data prep preferred. * Azure DevOps or Git-based ...

EASE Logistics

Senior Data Analyst

Dublin, OH · On-site

$81K - $102K/yr

Experience with ADF or analytics engineering practices for building and testing data models preferred. * Python or R for exploratory analysis and data prep preferred. * Azure DevOps or Git-based ...

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Showing results 1-20

All JobsData Analytics Engineer JobsData Analytics Engineer Jobs in Columbus, OH

Data Analytics Engineer information

See Columbus, OH salary details

$43K

$125.3K

$171.4K

How much do data analytics engineer jobs pay per year?

As of Aug 23, 2026, the average yearly pay for data analytics engineer in Columbus, OH is $125,293.00, according to ZipRecruiter salary data. Most workers in this role earn between $110,600.00 and $132,800.00 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 Columbus, OH?

The most popular types of Data Analytics Engineer jobs in Columbus, OH are:

What are popular job titles related to Data Analytics Engineer jobs in Columbus, OH?

For Data Analytics Engineer jobs in Columbus, OH, the most frequently searched job titles are:

What job categories do people searching Data Analytics Engineer jobs in Columbus, OH look for?

The top searched job categories for Data Analytics Engineer jobs in Columbus, OH are:

What cities near Columbus, OH are hiring for Data Analytics Engineer jobs?

Cities near Columbus, OH with the most Data Analytics Engineer job openings:

Data Analytics Engineer jobs near you
Infographic showing various Data Analytics Engineer job openings in Columbus, OH as of August 2026, with employment types broken down into 77% Full Time, and 23% Contract. Highlights an 100% In-person job distribution, with an average salary of $125,293 per year, or $60.2 per hour.

Data Analytics Supervisor

Ohio Department of Taxation

Columbus, OH • On-site

Full-time

Posted 12 days ago

Job description

Join Our Team!

Accepting applications for a Data Analytics Supervisor

Who Are We?

The Ohio Department of Developmental Disabilities (DODD) mission is to partner with people and communities to support Ohioans with developmental disabilities and their families in realizing their version of a good life. 

Ohio is the heart of opportunity, and we envision Ohio as the best place in the nation for people with developmental disabilities to thrive. Our core values reflect our focus on the experience of each person we support:

  • Inclusion 

  • Partnership

  • Respect

What does a Data Analytics Supervisor do?

  • Serves as data analyst supporting Major Unusual Incidents (MUI) and Compliance operations within the Department of Developmental Disabilities (DODD). 

  • Develops and maintains Tableau dashboards, reports, automated reporting solutions, and ad hoc analyses related to MUI activities, compliance reviews, provider oversight, county board oversight, and operational performance. 

  • Supports reporting and analytics activities using data from multiple DODD systems, including ITMS and RDS, as well as Medicaid claims and other health-related data sources. 

  • Analyzes data trends, patterns, and operational issues to support program staff, leadership, county boards, providers, and other stakeholders. 

  • Generates, tracks, and automates performance measures, ensuring timely tracking of agency goals, outcomes, and reporting requirements. 

  • Validates data accuracy and assists with identifying reporting, data quality, and system concerns. 

  • Responds to questions from county boards, providers, internal staff, and other stakeholders. 

  • Works independently to identify reporting needs, prioritize assignments, and develop data solutions that support agency operations and decision-making. 

  • Utilizes reporting and analytics tools including Tableau, SQL, Python, and other technologies, as appropriate.

  • Develops and maintains documentation, report definitions, business rules, and reporting standards.

  • Participates in office hours and provides guidance and support to report and dashboard users and stakeholders. 

  • Participates in agency-wide data committees, reporting workgroups, and data governance and data quality initiatives.

  • Coordinates with program areas and information technology staff to improve reporting processes, data quality, and understanding of DODD systems and business processes.

  • Maintains working knowledge of DODD systems, Medicaid and health-related data, and how data connects and flows across systems.

  • Supports emerging analytics, automation, and agentic AI initiatives that improve reporting, data access, operational efficiency, and user support.

  • Participates in and provides cross-training across reporting and analytics functions to promote knowledge sharing, ensure continuity of operations, provide backup coverage, and reduce reliance on single-person subject matter expertise.

  • Oversees data analytics college intern.

  • Serves as the primary data coordination contact for public records requests (PRR) under Ohio's Public Records Act (R.C. 149.43) involving reports, analytics, and DODD data.

  • Coordinates with program staff, leadership, legal staff, and other stakeholders to identify, review, prepare, validate, and deliver requested data and reporting materials.

  • Performs other related duties as assigned.

72 months' experience or training in data analytics, statistical analysis, or research methods AND 12 months' experience in supervisory &/or management principles & techniques. 
OR
Completion of associate core program in data analytics, computer science, information systems, computer engineering, applied mathematics, statistics, industrial/systems engineering, or related field AND 54 months' experience or training  in data analytics, statistical analysis, or research methods AND 12 months' experience  in supervisory &/or management principles & techniques. 
OR
Completion of undergraduate core program in data analytics, computer science, information systems, computer engineering, applied mathematics, statistics, industrial/systems engineering, or related field AND 48 months' experience or training in data analytics, statistical analysis, or research methods AND 12 months' experience in supervisory &/or management principles & techniques. 

OR

Completion of graduate core program in data analytics, computer science, information systems, computer engineering, applied mathematics, statistics, industrial/systems engineering, or related field AND 36 months' experience or training in data analytics, statistical analysis, or research methods; 12 mos. exp. in supervisory &/or management principles & techniques. 
OR
Equivalent of Minimum Class Qualifications For Employment noted above. 

Job Skill: Data Analytics, Data Visualization, Operational and Administrative Support, Leading Others, Developing Others, Confidentiality, Analyzation

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