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Non Exempt Cyber Security Data Analyst Jobs (NOW HIRING)

... quarter). • Maintain cybersecurity data for systems registered in the ITIPS IAW FISMA ... non-NC3 systems in a similar manger, but in accordance with SSC/ECP policies and schedule. • ...

Louis, MO - on site Time Type: Full time, Exempt Clearance Required to Start: Active TS/SCI (U.S ... cybersecurity missions for more than seventeen years. We are small on purpose: direct access to ...

Data Analyst

Lake City, FL · On-site

$65 - $90/hr

Non-Exempt Supervisory Responsibilities: None About the Role: As a Data Analyst at North Florida Pediatrics within the Health Care industry, you r esponsible for reporting, compiling and organizing ...

New

Data Analyst

Indianapolis, IN · On-site

$70 - $110/hr

Employee Type FT Non-Exempt * Required Degree 4 Year Degree Contact information Description We are seeking a Data Analyst to support data-driven initiatives across state healthcare programs ...

... non-technical stakeholders. Required Qualifications * Bachelor's degree in Cybersecurity ... Strong data analysis skills with the ability to assess large datasets for accuracy, completeness ...

This role focuses on data analysis, cybersecurity reporting, executive-level coordination, Zero Trust support, task management, and strategic communications across a broad enterprise organization.

Showing results 41-60

Non Exempt Cyber Security Data Analyst information

See salary details

$43K

$99.4K

$150K

How much do non exempt cyber security data analyst jobs pay per year?

As of Sep 4, 2026, the average yearly pay for non exempt cyber security data analyst in the United States is $99,400.00, according to ZipRecruiter salary data. Most workers in this role earn between $79,500.00 and $115,500.00 per year, depending on experience, location, and employer.

What is the difference between Non Exempt Cyber Security Data Analyst vs Non Exempt Cyber Security Analyst?

AspectNon Exempt Cyber Security Data AnalystNon Exempt Cyber Security Analyst
CertificationsOften requires certifications like CompTIA Security+ or CEHSimilar certifications, with additional emphasis on security tools
Work EnvironmentFocuses on data analysis, security metrics, and reportingHandles security monitoring, incident response, and threat detection
Employer & Industry UsageCommon in organizations with large data sets and compliance needsPrevalent in IT security teams across various industries

While both roles are non-exempt and involve cybersecurity tasks, the Non Exempt Cyber Security Data Analyst primarily focuses on analyzing security data and generating reports, whereas the Non Exempt Cyber Security Analyst concentrates on monitoring security systems and responding to threats. Understanding these differences helps in choosing the right career path or job listing.

Are there non exempt cyber security data analyst jobs that don't require a degree?

Non-exempt cybersecurity data analyst positions typically require some technical skills and experience, but a formal degree is not always mandatory. Employers may accept candidates with relevant certifications, such as CompTIA Security+ or Cisco's CCNA, and practical experience in data analysis, security tools, or scripting. However, having a degree can improve job prospects and advancement opportunities in this field.
More about Non Exempt Cyber Security Data Analyst jobs

What cities are hiring for Non Exempt Cyber Security Data Analyst jobs?

Cities with the most Non Exempt Cyber Security Data Analyst job openings:

Infographic showing various Non Exempt Cyber Security Data Analyst job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $99,400 per year, or $47.8 per hour.

Senior QA Analyst - Cybersecurity Data & Databricks Testing 3651658

Axiom Path

Charlotte, NC • On-site

$60 - $64/hr

Full-time

Posted 22 days ago


Job description

Be Part Of A High-Performing Team

Join the technology organization of a major global financial institution supporting highly regulated, security-sensitive enterprise environments. This opportunity sits within a cybersecurity data operations function responsible for ensuring that data warehouse platforms, security analytics, and reporting solutions deliver dependable information to business and technology stakeholders. The team operates in an Agile environment and works closely across data engineering, cybersecurity, development, and analytics functions.

What's In Store For You

  • Engagement: W2 only (no C2C/1099)
  • Hybrid opportunity in Charlotte, North Carolina
  • Work on enterprise-scale cybersecurity data platforms and analytics solutions.
  • Collaborate directly with data engineers, developers, cybersecurity stakeholders, and Agile delivery teams.
  • Gain exposure to modern cloud data technologies including Databricks, Spark, Python, and enterprise data warehouse environments.

How You Will Make An Impact

  • Lead quality assurance efforts supporting enterprise cybersecurity data warehouse and dashboard solutions.
  • Develop comprehensive test strategies, plans, cases, and scripts from business and technical requirements.
  • Validate complex ETL/ELT pipelines, data transformations, and source-to-target mappings.
  • Perform functional, integration, regression, system, performance, and user acceptance testing.
  • Use advanced SQL and Spark SQL to perform data reconciliation, validation, and root-cause analysis.
  • Build and execute automated data-validation solutions using Python, PySpark, and Pandas.
  • Test REST APIs using Postman or comparable API-testing technologies.
  • Identify, document, prioritize, and track defects while partnering with developers through resolution.
  • Maintain requirement-to-test traceability and supporting QA documentation.
  • Participate in Agile ceremonies and provide actionable feedback on system usability, data reliability, and platform stability.
  • Help improve testing processes, automation practices, and overall QA standards across cybersecurity data initiatives.

Do you bring proven success in enterprise data quality and Databricks testing?

  • 8+ years of experience across quality assurance, data testing, ETL/ELT testing, data engineering, or closely related disciplines.
  • 5+ years leading QA initiatives involving enterprise data warehouses, data lakes, or lakehouse environments.
  • Strong hands-on experience with Databricks and testing data pipelines within cloud-based data platforms.
  • Advanced SQL and Spark SQL capabilities, including complex data validation, reconciliation, and troubleshooting.
  • Hands-on programming experience with Python, PySpark, and Pandas for automation, profiling, analysis, and data-quality validation.
  • Demonstrated experience testing ETL/ELT pipelines, transformations, and source-to-target mappings.
  • Hands-on experience validating REST APIs, preferably with Postman or a similar tool.
  • Experience across functional, integration, regression, system, performance, and UAT testing.
  • Strong defect-management, documentation, and requirements-traceability skills.
  • Ability to collaborate effectively with engineers, developers, cybersecurity stakeholders, and Agile delivery teams.
  • Strong analytical and root-cause problem-solving capabilities.