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Data Analytics Engineer Jobs in Ohio (NOW HIRING)

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 ...

Data Analytics Lead

Walbridge, OH ยท On-site

$100K/yr

Two or more years of experience leading analysts, BI developers, or data-focused project teams. * Experience supporting a data warehouse, reporting modernization, system integration, or data ...

Data Analytics Lead

Walbridge, OH ยท On-site

$100K/yr

The Data Analytics Lead drives enterprise analytics across construction operations, project ... developers, or data-focused project teams. -Experience supporting a data warehouse, reporting ...

GCP Cloud Analytics Engineer

Cincinnati, OH ยท On-site

$53.50 - $71.50/hr

As a Data Engineer II, GCP Cloud Analytics, you will help clients design, build, and scale Google Cloud Platform-enabled data ecosystems that support enterprise decision-making, analytics, and ...

GCP Cloud Analytics Engineer

Columbus, OH ยท On-site

$53.75 - $72/hr

As a Data Engineer II, GCP Cloud Analytics, you will help clients design, build, and scale Google Cloud Platform-enabled data ecosystems that support enterprise decision-making, analytics, and ...

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 ...

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 ...

Senior Analytics Engineer

Columbus, OH ยท On-site

$97K - $134K/yr

The Senior Analytics Engineer is responsible for designing, building, and maintaining the enterprise data models that power reporting and analytics across C3 Industries and High Profile Cannabis ...

Senior Analytics Engineer

Columbus, OH ยท On-site

$100K - $138K/yr

The Senior Analytics Engineer is responsible for designing, building, and maintaining the enterprise data models that power reporting and analytics across C3 Industries and High Profile Cannabis ...

Analytics Engineer, Care Operations

Columbus, OH ยท 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 ...

Analytics Engineer, Care Operations

Columbus, OH ยท 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 ...

Analytics Engineer, Care Operations

Columbus, OH ยท On-site

$64K - $87K/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 ...

Showing results 21-40

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 Sep 14, 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 cities in Ohio are hiring for Data Analytics Engineer jobs?

Cities in Ohio with the most Data Analytics Engineer job openings:

Infographic showing various Data Analytics Engineer job openings in Ohio as of September 2026, with employment types broken down into 83% Full Time, and 17% Contract. Highlights an 100% In-person job distribution, with an average salary of $123,321 per year, or $59.3 per hour.

Data & Analytics Strategy

Cleveland, OH โ€ข Hybrid

Further
Telecommunicationsย โ€ขย 201 - 500 employees

Full-time

Re-posted 8 days ago


Job description

WE'RE HIRING! If you love data and are looking for unlimited growth opportunities, we want to talk with you about joining Further.

Further is a data, cloud, and AI company whose focus is helping companies turn raw data into the right decisions. We have an award winning culture of extraordinary people. Our purpose is to enable people to thrive so that businesses can thrive. We believe that the work you do should matter - it should be meaningful to you professionally and personally, and it should have a positive impact on both you and our clients.ย  If this sounds exciting to you, let's chat!

Associate Strategy Director

You'll sit at the intersection of strategy, data, and client impact, shaping the firm's growth, maturing its offerings, and leaving a measurable mark on the clients you serve. This is a leadership role in the organization, and you would not only be a senior SME on client accounts, but be responsible for teaching others how to identify opportunities for strategic growth and impact on client accounts. You will drive business growth, lead strategic client relationships, and mentor the next generation of practitioners, all while applying our Hypothesis-Driven Approach to some of the most complex data and digital challenges our clients face. You will sit in one of our office locations on a hybrid schedule. The team is in office on Tuesdays, Wednesdays and Thursdays.ย 

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 optimization programs.
  • Experience developing complex data strategies and leading cross-functional data initiatives at enterprise scale.
  • Proven ability to lead client-facing workshops, discovery sessions, and executive presentations, including with net-new prospects.
  • Strong change management skills and comfort navigating ambiguity at the senior client level.
  • Demonstrated success mentoring teams and driving measurable results on multi-workstream projects.

What you'll be doing in this role:

  • Champion and apply our Hypothesis-Driven Approach across large, complex engagements, communicating it clearly to both internal teams and senior client stakeholders.
  • Translate client goals into measurable business outcomes; plan, delegate, and lead team execution while crafting a compelling value narrative for every engagement.
  • Lead business development - from pitches and scoping to proposals and pricing - building trusted partnerships that extend and expand client relationships over time.
  • Provide strategic direction and mentorship to cross-functional teams, championing the firm's vision, values, and evolving solution offerings.
  • Own major client engagements end-to-end: influence decision-making, navigate change management, and communicate the downstream impact of new information or constraints on the client's ecosystem.
  • Partner with Client Services and Business Development to pursue new opportunities and shape the direction of ongoing engagements

Our total rewards program is designed for your protection, peace of mind, and overall well-being. In addition to our outstanding basics, we offer a net-zero cost medical option, company contributions to your HSA, fertility support, fully-paid parental leave, a monthly stipend for your lifestyle spending account, and much more.

Apply today or check out all our opportunities!

#LI-Hybrid
Applicants must be currently authorized to work in the United States on a full-time basis. The company does not anticipate providing sponsorship for employment visa status (e.g., H-1B, TN, etc.) for this individual position.