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Data Intelligence Jobs in Ohio (NOW HIRING)

Title: Data Governance Specialist Belong. Connect. Grow. with KBR! KBR's National Security ... the intelligence and national security communities. In this position, your work will have a ...

Title: Data Governance Specialist Belong. Connect. Grow. with KBR! KBR's National Security ... the intelligence and national security communities. In this position, your work will have a ...

$110K - $143K/yr

Serves as a team lead, planning and implementing appropriate collection methods to gather semi-complex to complex technical intelligence data in the Chinese language for analysis and production ...

$110K - $143K/yr

Serves as a GEOSPATIAL Intelligence (GEOINT) Imagery Analyst ... Processes raw imagery, data, and information from a variety of sensors and sources to develop ...

Data Analytics - Operations

Cincinnati, OH · Hybrid

$82K - $104K/yr

Join Data Intelligence within WCIB Operations and become part of a high-impact team that helps shape strategic decisions across Operations. This isn't just reporting-it's an opportunity to influence ...

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Data Intelligence information

What is a data intelligence?

A Data Intelligence job involves collecting, analyzing, and interpreting data to support decision-making and business strategy. Professionals in this field use various tools and techniques, including data mining, machine learning, and visualization, to uncover insights and trends. They work closely with stakeholders to translate data into actionable recommendations, improving efficiency and innovation. Roles may vary from data analysts to data scientists, depending on the organization's needs and complexity.

What are the typical daily responsibilities of a data intelligence professional?

A Data Intelligence professional typically spends their workday collecting, processing, and analyzing large datasets to uncover trends and actionable insights. They often collaborate with cross-functional teams, such as business analysts, product managers, or IT professionals, to define data requirements and support ongoing projects. Additional responsibilities may include creating dashboards or reports, ensuring data accuracy and integrity, and communicating findings to both technical and non-technical stakeholders. Frequent problem-solving, adapting to shifting priorities, and keeping up with the latest analytical tools are also common aspects of the role.

What are the key skills and qualifications needed to thrive in the data intelligence position, and why are they important?

To thrive in Data Intelligence, you need strong analytical skills, a solid understanding of data science principles, and a background in fields such as statistics, computer science, or information systems. Familiarity with tools like SQL, Python, Tableau, and experience with data warehousing and business intelligence platforms are highly valuable, as are certifications such as Certified Analytics Professional (CAP) or related credentials. Excellent problem-solving abilities, effective communication, and a collaborative mindset help drive actionable insights from complex datasets. These skills are essential for translating raw data into meaningful intelligence that guides business strategy and decision-making.

Infographic showing various Data Intelligence job openings in Ohio as of July 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, 1% Temporary, and 3% Contract. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution.

Data Scientist - Advanced Analytics

Scalence L.L.C.

Columbus, OH • On-site

Full-time

Re-posted 27 days ago


Job description

Job Summary:
Scalence L.L.C. is currently seeking a Data Scientist - Advanced Analytics. The role requires strong skills in Deep Learning, Visual Analytics, NLP, and relevant tools in ML/Ops.
Qualifications:
Required:
• strong skills in Deep Learning
• strong skills in Visual Analytics
• strong skills in NLP
• strong skills in all the relevant tools
• strong skills in ML/Ops
Company:
In today’s dynamic and competitive market, success hinges on mastering three key areas: Data Intelligence, Business Resilience, and Digital Experience. Founded in , the company is headquartered in Morristown, USA, with a team of 501-1000 employees. The company is currently Late Stage.