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Data Analytics Engineer Jobs in Ohio (NOW HIRING)

Palmer Holland

Data Analytics Engineer

Westlake, OH · On-site

$106K - $127.30K/yr

Description Position Summary The Data Analytics Engineer is responsible for designing, developing, and delivering high-impact data visualizations, dashboards, and analytical products that enable ...

AndHealth

Analytics Engineer, Data Platform

Columbus, OH · On-site

$110.60K - $132.80K/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 ...

AndHealth

Analytics Engineer, Data Platform

Columbus, OH · On-site

$110.60K - $132.80K/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 ...

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 II

Wooster, OH · On-site

$99.80K - $119.80K/yr

Data Engineering & Architecture * Design, build, and maintain data pipelines, data marts, and ... Reporting & Analytics * Create and maintain standard and ad hoc reports, dashboards, and analytics ...

Winick Realty Group

Data Analytic Engineer II

Wooster, OH · On-site

$99.80K - $119.80K/yr

Data Engineering & Architecture * Design, build, and maintain data pipelines, data marts, and ... Reporting & Analytics * Create and maintain standard and ad hoc reports, dashboards, and analytics ...

Western Reserve Group

Data Analytic Engineer I

Wooster, OH

$99.80K - $119.80K/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 ...

Winick Realty Group

Data Analytic Engineer I

Wooster, OH · On-site

$99.80K - $119.80K/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 ...

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

$99.10K - $136.10K/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 ...

OH.io

GTM Engineer - Data & Analytics

Columbus, OH · On-site

$110.60K - $132.80K/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.

New

OH.io

GTM Engineer - Data & Analytics

Columbus, OH · On-site

$110.60K - $132.80K/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.

New

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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 May 29, 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.

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.

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 does a Data Analytics Engineer do?

A Data Analytics Engineer designs, builds, and maintains the systems and infrastructure needed to collect, store, and analyze large sets of data. They work closely with data scientists, analysts, and business stakeholders to ensure data is accessible, reliable, and organized for analysis. Their responsibilities typically include building data pipelines, optimizing database performance, and ensuring data quality and security. Data Analytics Engineers play a crucial role in transforming raw data into actionable insights that drive business decisions.

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 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
Data Analytics Engineer

Data Analytics Engineer

Palmer Holland

Westlake, OH • On-site

$106K - $127.30K/yr

Full-time

Posted 24 days ago

Job description

Description
Position Summary
The Data Analytics Engineer is responsible for designing, developing, and delivering high-impact data visualizations, dashboards, and analytical products that enable informed decision-making across Palmer Holland. Positioned within the Information Technology Department, this role works horizontally across Business Analysis, FP&A, Commercial, and Executive teams to create a cohesive and trusted analytics experience.
This role combines strong business acumen, foundational data modeling knowledge, and exceptional visualization craft to translate complex data into clear, actionable insights. The Engineer plays a key role in unifying Palmer Holland's analytics standards while supporting the organization's evolving data, AI, and automation strategy.
The Data Analytics Engineer partners closely with the Data Solutions Administrator, IT Application & Development team, vertical Business Analysts, and strategic external partners as Palmer Holland builds its next-generation data lakehouse and prepares for advanced analytics, generative AI, and agentic AI use cases.
This is a hybrid role, based in Westlake, OH.
Essential tasks of the position
• Lead the design and development of dashboards, visual analytics, and data products that enable fast, accurate decision-making across all business units.
• Translate ambiguous business questions into clear analytical requirements and high-value visual solutions.
• Create executive-caliber dashboards that are both aesthetically refined and highly functional, including content used for principal-facing applications and the Principal Portal.
• Iterate with Business Analysts, Commercial leaders, and the Executive team to ensure analytics products are intuitive, actionable, and aligned to business needs.
• Build semantic layers, data views, and analytical models in partnership with the Data Solutions Administrator and IT development teams.
• Write and maintain SQL queries, data extraction logic, and lightweight transformations needed to support visualizations.
• Ensure data definitions, filters, hierarchies, and calculations are consistent across dashboards.
• Establish and maintain visualization standards, UX patterns, naming conventions, and data storytelling best practices to ensure consistency and clarity.
• Act as a center-of-excellence partner who coaches Business Analysts in design quality, user experience, and dashboard performance.
• Support rationalization of dashboard/report sprawl and improve overall analytics adoption across the organization.
• Contribute to the design of analytics structures that support future GenAI use cases, including semantic models, governed datasets, and narrative insights.
Qualifications:
Required
• Advanced Knowledge of IT security best practices.
• Comfortable public speaking and effective communication skills.
• Ability to present complex information in a clear and concise manner, avoiding unnecessary jargon and technical terms.
• 5+ years of experience designing and developing advanced dashboards and data visualizations in Tableau, Power BI, or similar BI platforms.
• Exceptional design, UX, and data storytelling skills with a portfolio of executive-quality dashboards.
• Strong SQL skills for data extraction and semantic modeling.
• Experience working with data from complex enterprise systems.
• Proven ability to collaborate cross-functionally and influence without authority.
• Ability to simplify complex analytical concepts into intuitive, consumable visual outputs.
• Comfort working in hybrid environments with SQL databases, cloud data platforms, and modern analytics tools.
Preferred
  • Experience with Snowflake, Databricks, or other data lakehouse technologies.
  • Understanding of LLMs, narrative insights, or AI-assisted analytics (working knowledge is a plus but not required).
  • Experience in B2B distribution, chemicals, ingredients, or manufacturing.
  • Familiarity with dashboard migration and modernization projects.

Education:
Bachelor's degree in Information Systems, Computer Science, Business Technology, or related field preferred.

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