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Data Intelligence Jobs in Ohio (NOW HIRING)

Experience with business intelligence/data analytics tools (Microsoft Power BI, Tableau, etc.)and proficiency in SQL including complex queries, stored procedures, and performance tuning. * Experience ...

The Business Intelligence Analyst will support data-informed decision-making by analyzing business operations data, generating actionable insights, and designing and maintaining data infrastructure ...

Responsibilities The Business Intelligence Analyst performs routine business analysis using various ... Turns data into critical information and knowledge that can be used to make sound business ...

Responsibilities The Business Intelligence Analyst performs routine business analysis using various ... Turns data into critical information and knowledge that can be used to make sound business ...

... data warehouse/data store • apply proven communication skills, problem-solving skills, and ... intelligence best practices • Strong data visualization skills within Power BI (or other data ...

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Data Intelligence information

Is 40 too old to become a data analyst?

Age is not a barrier to becoming a data analyst; many professionals transition into this field later in life. Success depends on acquiring relevant skills such as data visualization, SQL, and statistical analysis, often through online courses or certifications. Employers value experience and analytical ability regardless of age.

Will AI replace a data analyst?

AI tools can automate routine data processing and analysis tasks, but data analysts are essential for interpreting complex insights, making strategic decisions, and communicating findings. The role of a data analyst evolves with technology, emphasizing skills in data storytelling, domain knowledge, and tool proficiency like SQL and visualization software. AI complements rather than replaces the human element in data analysis roles.

What is a Data Intelligence job?

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 does data intelligence do?

Data intelligence involves analyzing large volumes of data to extract meaningful insights that support decision-making. Professionals in this field use tools like data visualization, statistical analysis, and machine learning to identify patterns, trends, and opportunities within data sets. They often work with data management platforms and require skills in programming, data analysis, and critical thinking.

What is the highest paying job in data analytics?

The highest paying roles in data analytics typically include Data Science Managers, Data Architects, and Chief Data Officers, with salaries often exceeding six figures. These positions require advanced skills in machine learning, data modeling, and leadership, and they usually involve overseeing large data teams and strategic initiatives.

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, 15% Part Time, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.
Intelligence Program Analyst

Full-time

Re-posted 6 days ago


Job description

WiSC Enterprises is seeking a highly analytical and mission-focused Intelligence Program Analyst to support Department of Defense (DoD), Intelligence Community (IC), and Federal mission partners in advancing intelligence operations, strategic initiatives, and mission capability development.

This role provides technical analysis and advisory support across critical intelligence disciplines including Geospatial Intelligence (GEOINT), Measurement and Signature Intelligence (MASINT), Foreign Materiel Exploitation (FME), and all-source intelligence operations. The Intelligence Program Analyst will support operational planning, cross-organizational collaboration, strategic analysis, and mission modernization initiatives aligned with national defense priorities.

The successful candidate will work closely with government stakeholders, analysts, engineers, and operational teams to support intelligence mission execution and organizational objectives in dynamic national security environments.


  • Provide analytical and advisory support for intelligence programs, operational initiatives, and mission capability development efforts
  • Collaborate across DoD, IC, and mission partner organizations to enhance operational coordination, mission integration, and strategic alignment
  • Support intelligence activities related to GEOINT, MASINT, FME, cyber, air, missile, and space threat analysis
  • Conduct research, operational analysis, and strategic assessments supporting mission planning and decision-making
  • Assist with identifying, developing, and executing analytic, process improvement, and modernization strategies to enhance mission effectiveness
  • Support cross-organizational operational activities informing resource allocation, strategic planning, and mission priorities
  • Develop executive-level briefings, reports, white papers, and analytical products for senior leadership and mission stakeholders
  • Analyze intelligence methodologies, operational processes, mission requirements, and organizational capabilities
  • Support operational readiness initiatives, intelligence modernization efforts, and technology integration activities
  • Coordinate with engineers, analysts, scientists, and operational personnel to support mission execution and capability development
  • Provide recommendations supporting policy implementation, organizational initiatives, and long-range mission objectives

  • Bachelor’s degree in Intelligence Studies, National Security Studies, International Relations, Political Science, Engineering, Computer Science, Data Analytics, or related discipline
  • 6+ years of experience supporting DoD, IC, or Federal intelligence programs
  • Experience providing analytical or advisory support within intelligence or national security environments
  • Familiarity with intelligence disciplines including GEOINT, MASINT, SIGINT, OSINT, or all-source intelligence analysis
  • Strong analytical, organizational, research, and problem-solving capabilities
  • Experience developing executive briefings, analytical reports, and strategic recommendations
  • Strong written and verbal communication skills with the ability to present information to senior personnel
  • Ability to work independently and collaboratively in fast-paced mission environments
  • Active Top Secret clearance with SCI eligibility required

  • Master’s degree in a related technical, intelligence, or national security discipline
  • Experience supporting organizations such as NASIC, DIA, NGA, NSA, or other Intelligence Community agencies
  • Familiarity with intelligence modernization initiatives, operational analysis, or mission systems integration efforts
  • Experience supporting defense acquisition, capability development, or strategic planning activities
  • Knowledge of advanced analytics, AI/ML-enabled intelligence platforms, or data-driven mission support tools
  • Experience supporting senior government leadership and executive stakeholders
  • Relevant certifications such as:
    • PMP
    • Security+
    • Certified Threat Intelligence Analyst (CTIA)
    • SAFe Agilist
    • Lean Six Sigma
  • Experience supporting proposal development, capture activities, or business development initiatives