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Engineering Data Analytics Lead Jobs in Ohio (NOW HIRING)

ADP, Inc.

Engineering Data Architect

Beavercreek, OH · On-site

$110K - $135K/yr

This position will lead the development of a next-generation Digital Engineering Environment that ... Knowledge of thermal, structural, or multiphysics analyses * Appreciation for uncertainty ...

ARCTOS

Engineering Data Architect

Dayton, OH · On-site

$110K - $135K/yr

This position will lead the development of a next-generation Digital Engineering Environment that ... Knowledge of thermal, structural, or multiphysics analyses * Appreciation for uncertainty ...

Modern Technology Solutions, Inc.

Key Responsibilities • Apply 8-10 years of technical data analytics and systems engineering ... lead for the PAE Scorecard effort, collaborating with OSW and DAF teams to build, evolve, and ...

CYNET SYSTEMS

Data Analytics

Mason, OH · On-site

$50 - $55/hr

Lead technical teams and mentor developers, analysts, and BI engineers. * Participate in BI architecture reviews and data platform strategy discussions. * Ensure optimal report performance ...

ALLOBAAS

Data Engineering Lead

Lakewood, OH

Lead and mentor a team of Data Engineering and Analyst staff, providing coaching, performance feedback, and professional development opportunities. * Serve as the primary escalation point for complex ...

AlloBaas

Data Engineering Lead

Lakewood, OH · On-site

Lead and mentor a team of Data Engineering and Analyst staff, providing coaching, performance feedback, and professional development opportunities. * Serve as the primary escalation point for complex ...

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Engineering Data Analytics Lead information

What does an engineering data analytics lead do?

An Engineering Data Analytics Lead oversees the collection, analysis, and interpretation of data to support engineering projects and decision-making. They manage data analytics teams, develop strategies to leverage data for process improvements, and ensure data quality. Their role bridges the gap between engineering and data science, providing insights that drive efficiency, innovation, and business growth. They also collaborate closely with engineers, stakeholders, and leadership to align data initiatives with organizational goals.

How does an engineering data analytics lead typically collaborate with engineering and business teams to drive data-driven decisions?

As an Engineering Data Analytics Lead, you'll regularly bridge the gap between technical engineering teams and business stakeholders. You’ll translate complex data findings into actionable insights, guide data collection strategies, and ensure analytics align with broader organizational goals. Collaboration often involves leading cross-functional meetings, designing data dashboards for engineers, and advising business leaders on how data can inform project priorities. This role requires strong communication skills, as you'll need to distill technical details for non-technical audiences and foster a culture of data-driven decision-making across departments.

What are the key skills and qualifications needed to thrive as an engineering data analytics lead, and why are they important?

To excel as an Engineering Data Analytics Lead, you need expertise in data analysis, statistical modeling, and engineering principles, typically supported by a degree in engineering, mathematics, or a related field. Proficiency with analytics tools such as Python, R, SQL, and data visualization platforms, as well as experience with big data systems like Hadoop or Spark, is crucial. Strong leadership, problem-solving abilities, and clear communication are essential soft skills for guiding teams and translating complex data into actionable insights. These skills enable effective decision-making, drive innovation, and ensure successful data-driven strategies within engineering projects.
Infographic showing various Engineering Data Analytics Lead job openings in Ohio as of August 2026, with employment types broken down into 83% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution.

Data Analytics Specialist (20076136)

Columbus, OH • On-site

Ohio Department of Taxation
Public Administration
Learn more about Ohio Department of Taxationexternal

Full-time

Posted 3 days ago

New

Job description

Where We Need You: 

Ohio EPA wants you to serve in this role within the Division of Surface Water (DSW) at our Central Office in Columbus, Ohio.

Why We Need You: 

Ohio EPA is looking for a detail-oriented, knowledgeable team player to help protect Ohio's water resources through efficient data management and meaningful crossagency collaboration.

What You'll Do:

You'll work hands-on with our biological and water-quality databases to organize, manage, and extract relevant data to support the division's programs. You'll build SQLbased reports and data visualizations to support program performance, identify trends to guide decision-making, and maintain our reference data libraries.

You'll be the go-to person for data requests and trend analysis and provide support and training to system users and staff. With a goal of continuous improvements, you'll act as lead for special projects that increase program efficiency, and collaborate with contractors, IT teams, and staff to enhance and strengthen our information systems.

You'll also represent the agency at conferences, workgroups, and technical meetings and speak to the public and interested parties on surface water information technology.

Let's sum it up:

  • Work with biological and water-quality databases to organize, manage, extract data.

  • Build SQL-based reports/data visualizations.

  • Provide support and training to system users/staff.

  • Act as lead for special projects that increase program efficiency; collaborate with contactors, IT teams, and staff.

If you enjoy turning complex data into clear insights and want to support meaningful environmental work, we'd love to see your application!

  • 48 mos. exp. in data analytics or statistical analysis or research methods.

  • OR completion of associate core program in data analytics, applied mathematics, statistics, industrial/systems engineering, or related field; 30 mos. exp. in data analytics, statistical analysis, or research methods.

  • OR completion of undergraduate core program in data analytics, applied mathematics, statistics, industrial/systems engineering, or related field; 24 mos. exp. in data analytics, statistical analysis, or research methods.

  • OR completion of graduate core program in data analytics, applied mathematics, statistics, industrial/systems engineering, or related field; 12 mos. exp. in data analytics, statistical analysis, or research methods.

  • OR 36 mos. exp as a Data Analytics Associate, 66930.

  • OR equivalent of Minimum Class Qualifications For Employment noted above. 

Job Skills: Data Analytics, Law, Public Relations, Equipment Operations, Data Visualization, Leading Others, Reasoning, Verbal Communication, Written Communication, Presenting, Public Speaking, Customer Focus

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