Data Analytics Engineer Jobs in Columbus, OH
Data Analytics Engineer jobs in Columbus are concentrated in the Short North, Downtown Columbus, and the Easton corridor, with strong demand across insurance, financial services, healthcare, and retail tech. Employers hiring right now include NiSource, JPMorganChase, and JobsOhio. Find a role that fits below and apply directly.
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About JobsOhio
JobsOhio is a private, nonprofit corporation designed to drive job creation and new capital investment in Ohio through business attraction, retention and expansion efforts. Economic development is about creating a place where companies can thrive and individuals can enjoy a higher standard of living. JobsOhio plays a leading role in economic development and serves as a catalyst to accelerate growth by investing in communities, helping Ohio’s businesses expand and attracting new companies to the state – all contributing to job creation, greater payrolls and more investment.
Summary of Position
The Director, Enterprise Data Analytics and Artificial Intelligence (EDA/AI) serves as a strategic leader responsible for the design and execution of the organization's comprehensive data and AI roadmap. This role bridges the gap between technical development and executive decision-making, overseeing a team to ensure that both Tableau-based Enterprise Data Analytics and AI-driven deliverables drive measurable organizational impact. The ideal candidate functions as a strategic leader, focusing on high-level adoption, program health, and the integration of advanced AI solutions into the core business lifecycle.
Duties and Responsibilities:
- Strategic Leadership & Roadmap Execution
- Program Alignment: Own and evolve the integrated data and AI roadmap to ensure all initiatives directly support overarching business objectives and the non-profit mission.
- Organizational Adoption: Spearhead organizational-wide adoption efforts to move both data-driven insights and AI-augmented workflows into the core of every department’s daily processes.
- Strategic Initiatives: Drive the execution of high-level analytics and AI projects from conception through delivery, ensuring high-impact results and operational efficiency.
- Technical & AI Management
- Team Leadership: Manage and mentor a team of contracted analytics and AI developers, providing technical direction, architectural guidance, and oversight of the development lifecycle.
- Tableau & BI Stewardship: Oversee the Tableau dashboard ecosystem, ensuring data integrity, visualization excellence, and scalable reporting structures that serve as the foundation for enterprise insights.
- AI Integration & Innovation: Lead the delivery of AI-related projects by identifying and implementing opportunities in accordance with JobsOhio’s AI Governance Policy.
- Executive Communication & Reporting
- Executive Briefings: Deliver high-impact reporting to leadership on program health, key milestones, and the ROI of both traditional data and AI-led initiatives.
- Strategic Communications: Curate and manage EDA and AI newsletters and communications to keep stakeholders apprised of the "why" behind the data strategy and recent technical wins.
- Liaison Role: Serve as the primary translator between technical staff and non-technical leadership to ensure project success, transparency, and clarity regarding AI strategy.
Experience Requirements:
- Experience: 10+ years of total professional experience, with 5+ years in Data Analytics or Business Intelligence, 2+ years in Artificial Intelligence, including leadership or management capacity.
- Technical Expertise: Significant experience managing Tableau-based platforms and dashboard ecosystems.
- AI Enabled: Practical, demonstrated understanding of AI principles—including LLMs and Agentic AI—and their application in enhancing enterprise-scale analytics and operational efficiency.
- Leadership: Proven ability to manage technical teams and drive cross-departmental tool adoption in a mid-sized organizational environment.
- Communication: Exceptional skills in translating complex technical and AI metrics into strategic business value for executive-level audiences.
Education Requirements
- Bachelor’s degree Analytics, Computer Science, Data Science, Information Systems, or a related quantitative field.
JobsOhio is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, gender identity or expression, sexual orientation, national origin, genetic information, disability, age, ancestry, familial status, or veteran status.
See All 35 Data Analytics Engineer Jobs in Columbus
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Find Data Analytics Engineer JobsData Analytics Engineer Job Market in Columbus
Who's Hiring
- NiSource13

- JPMorganChase9

- JobsOhio4

- Huntington Bank4

- Franklin University4
Data Analytics Engineer Jobs in Columbus: Frequently Asked Questions
How do I get a data analytics engineer job in Columbus?
Focus your search on Columbus's insurance and financial services sector, healthcare systems, and the retail and e-commerce companies headquartered near Easton and the Polaris area. Employers in these sectors consistently hire for pipeline and analytics engineering roles. Candidates who can demonstrate hands-on experience with cloud data platforms and a portfolio of production-level pipelines tend to stand out in the Columbus market over those with credentials alone.
Which companies hire data analytics engineers in Columbus?
Columbus data analytics engineer roles are posted by NiSource, JPMorganChase, and JobsOhio and others right now, based on current listings on Migrate Mate as of November 2026. Columbus's mix of large insurance carriers, regional banks, major health systems, and national retailers with local headquarters creates a broad and consistent base of employers hiring for this role across the metro.
Are there remote data analytics engineer jobs in Columbus?
Yes, data analytics engineering is among the more remote-compatible technical roles given its desk-based, code-and-query nature. About 100% of data analytics engineer openings tied to Columbus are remote or hybrid as of November 2026, reflecting broader tech-sector flexibility in the region. Pipeline build and maintenance work tends to be fully remote, while roles requiring close collaboration with local data or BI teams typically follow a hybrid schedule.
How can I get a data analytics engineer job in Columbus with little or no experience?
The most realistic entry path in Columbus is through a junior or associate data analyst role at one of the city's large insurance or healthcare employers, where internal mobility into analytics engineering is common once you've built pipeline and SQL skills on the job. Columbus-area fintech startups and mid-sized retail tech firms also hire entry-level candidates willing to work across both analytics and engineering tasks. Building a public portfolio with dbt, Spark, or Airflow projects and contributing to local tech meetups around the Columbus tech scene strengthens your candidacy considerably.
See All 35 Data Analytics Engineer Jobs in Columbus
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