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Cybersecurity Data Analyst Jobs (NOW HIRING)

Upload the cyber security references and reports used for data input, visualization, or modeling to the customer's database. * Provide quality assurance review for all data to be input into MADSS or ...

Act as a thought leader within cybersecurity analytics, challenging legacy approaches and helping ... Work with data visualization and analytics. Design intuitive, executiveready dashboards at scale.

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

We specialize in advanced cybersecurity operations, AI/ML integration, cloud modernization, data ... Job Summary The Data Analyst supports a federal program by analyzing large, complex datasets ...

We specialize in advanced cybersecurity operations, AI/ML integration, cloud modernization, data ... Job Summary The Data Analyst supports a federal program by analyzing large, complex datasets ...

Data Analyst

Washington, DC · On-site

$70K - $100K/yr

... cybersecurity. We have also grown our customer base to include commercial clients. The company has ... Position OverviewThe Data Analyst supports the development of dashboards, reports, data ...

Data Analyst

Washington, DC · On-site

$70K - $100K/yr

... cybersecurity. We have also grown our customer base to include commercial clients. The company has ... Position Overview The Data Analyst supports the development of dashboards, reports, data ...

Get ready for an exciting adventure into the world of cybersecurity! The core mission of the Data Analyst As a Data Analyst, you will be the analytical engine behind our most important client ...

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Cybersecurity Data Analyst information

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$34K

$82.6K

$136K

How much do cybersecurity data analyst jobs pay per year?

As of Sep 10, 2026, the average yearly pay for cybersecurity data analyst in the United States is $82,640.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,500.00 and $97,000.00 per year, depending on experience, location, and employer.

What is a cybersecurity data analyst?

Cybersecurity Data Analysts are professionals who use data analytics techniques to identify, assess, and mitigate security threats within an organization’s information systems. They analyze large volumes of security data to detect anomalies, investigate incidents, and inform cybersecurity strategies. Their work helps organizations protect sensitive information, maintain compliance, and respond effectively to cyber attacks. Cybersecurity Data Analysts often collaborate with IT and security teams to ensure robust defense mechanisms are in place.

What are the key skills and qualifications needed to thrive as a cybersecurity data analyst?

To thrive as a Cybersecurity Data Analyst, you need a strong background in data analysis, cybersecurity principles, and a relevant degree such as computer science, information security, or data analytics. Familiarity with SIEM tools (like Splunk or QRadar), programming languages (Python, SQL), and industry certifications (such as CompTIA Security+ or CISSP) is highly valuable. Strong problem-solving, attention to detail, and effective communication skills help you interpret complex data and collaborate across teams. These competencies are crucial for identifying threats, mitigating risks, and ensuring an organization’s digital security.

How does a cybersecurity data analyst typically collaborate with other teams within an organization?

A Cybersecurity Data Analyst often works closely with IT, security operations, and risk management teams to detect, investigate, and respond to security threats. They regularly share insights from data analysis to help refine security policies, support incident response, and inform decision-making processes. Effective communication and collaboration are essential, as analysts must translate complex data findings into actionable recommendations for both technical and non-technical stakeholders. This cross-functional teamwork enhances the organization’s overall security posture.

What is the difference between Cybersecurity Data Analyst vs Cybersecurity Analyst?

AspectCybersecurity Data AnalystCybersecurity Analyst
CertificationsCompTIA Security+, CISSP, CEHCompTIA Security+, CISSP, CEH
Work EnvironmentData-focused, analyzing security data and logsSecurity monitoring, incident response
Employer & IndustryTech firms, finance, healthcareIT departments, security firms
Search & Comparison IntentUnderstanding data analysis roles in securitySecurity operations and threat mitigation

While both roles require similar certifications and often work in related environments, the Cybersecurity Data Analyst primarily focuses on analyzing security data to identify trends and vulnerabilities. In contrast, the Cybersecurity Analyst handles real-time security monitoring and incident response. Both roles are vital in protecting organizations but differ in their core responsibilities and daily tasks.

What does a cybersecurity data analyst do?

A cybersecurity data analyst examines security data to identify vulnerabilities, detect threats, and monitor network activity. They use tools like SIEM systems and perform data analysis to support security decisions, often requiring knowledge of cybersecurity principles and data analysis skills. Their work helps organizations prevent and respond to cyber attacks.
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Cities with the most Cybersecurity Data Analyst job openings:

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Infographic showing various Cybersecurity Data Analyst job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 83% Full Time, 12% Part Time, and 3% Contract. Highlights an 85% Physical, 3% Hybrid, and 12% Remote job distribution, with an average salary of $82,640 per year, or $39.7 per hour.

Manufacturing Cybersecurity Data Engineer

Warren, MI • On-site

General Motors
Transportation Equipment Manufacturing • 10K+ employees

$107K - $129K/yr

Full-time

Posted 12 days ago


Key responsibilities

  • Design, develop, operate, and maintain data ingestion and ETL pipelines that consolidate OT vulnerability, asset, configuration, and cyber-risk data from multiple sources.

  • Develop Python, SQL, and scripting solutions for data extraction, transformation, validation, enrichment, automation, and analysis.

  • Develop and maintain dashboards, reports, metrics, and visualizations that communicate exposure, trends, and remediation progress.


General Motors rating

8.2

Company rating: 8.2 out of 10

Based on 310 frontline employees who took The Breakroom Quiz


Job description

Job Description

The Role

General Motors is transforming the future of mobility while operating one of the world's most complex manufacturing environments. The Manufacturing Cybersecurity team helps protect the technology, systems, and data that keep GM plants safe, resilient, and productive.

As a Manufacturing Cybersecurity Engineer, you'll build and operate the data foundation that enables OT cyber-risk visibility across GM manufacturing. You'll develop reliable data-ingestion and ETL solutions that consolidate vulnerability, asset, configuration, and security telemetry from plant systems, cybersecurity tools, enterprise platforms, and other sources into the Databricks Lakehouse Platform. Using Python, SQL, scripting, and data-quality practices, you'll transform, validate, monitor, and troubleshoot pipelines, then translate complex technical data into actionable insights through Power BI or similar dashboards and reports.

This is a hands-on Level 6 individual contributor role. You'll exercise independent judgment to resolve non-routine data and cybersecurity problems, propose process improvements, and coordinate delivery across cybersecurity, manufacturing, plant, data engineering, and technology stakeholders. Your work will help plant teams prioritize remediation, reduce OT exposure, and make informed decisions without disrupting production.

What You'll Do

  • Design, develop, operate, and maintain dependable data ingestion and ETL pipelines that consolidate OT vulnerability, asset, configuration, and cyber-risk data from multiple sources.

  • Develop Python, SQL, and scripting solutions for data extraction, transformation, validation, enrichment, automation, and analysis.

  • Establish data-quality checks, reconciliation routines, monitoring, alerting, and troubleshooting procedures that improve data completeness, accuracy, timeliness, and reliability.

  • Identify, assess, track, and report OT cybersecurity risks and vulnerabilities across plant systems and networks, supporting risk-based prioritization and remediation planning.

  • Develop and maintain Power BI or similar dashboards, reports, metrics, and visualizations that communicate exposure, trends, control coverage, remediation progress, and operational performance.

  • Translate complex technical and security data into clear insights and recommendations for plant teams, cybersecurity stakeholders, manufacturing leadership, and technology partners.

  • Partner with cybersecurity, manufacturing engineering, plant operations, data engineering, and technology teams to define requirements, resolve data issues, and deliver cross-functional solutions.

  • Document data sources, data models, pipeline logic, controls, lineage, operating procedures, and troubleshooting guidance in a clear and maintainable format.

  • Automate repeatable data preparation, analysis, and reporting processes while applying appropriate security, privacy, access-control, and data-governance practices.

  • Propose and deliver process improvements that increase visibility, reduce manual effort, improve reporting consistency, and strengthen OT vulnerability management.

  • Communicate status, risks, dependencies, findings, and recommendations clearly; follow issues through resolution and escalate potential impacts early.

Your Skills & Abilities (Required Qualifications)

  • Bachelor's degree in Computer Science, Cybersecurity, Information Technology, Data Engineering, Engineering, or a related field, or equivalent relevant experience.

  • 3+ years of professional experience in cybersecurity, data engineering, analytics, software engineering, manufacturing technology, or a related field.

  • Hands-on experience developing and supporting production data pipelines using Python, SQL, scripting, ETL, or data-ingestion technologies.

  • Experience integrating and validating data from multiple enterprise, plant, cybersecurity, or operational technology sources, with the ability to diagnose data-quality and pipeline issues.

  • Experience with OT or industrial control system cybersecurity, vulnerability management, asset inventory, security telemetry, or cyber-risk reporting.

  • Ability to work independently, exercise sound judgment, and resolve non-routine data and cybersecurity problems in a complex environment.

  • Ability to communicate technical findings clearly and collaborate effectively with cybersecurity, manufacturing, plant, data engineering, and technology stakeholders.

What Can Give You A Competitive Advantage (Preferred Qualifications)

  • Experience with Databricks, Delta Lake, Spark, cloud data platforms, Lakehouse architecture, or similar technologies.

  • Experience developing Power BI or similar dashboards, reports, metrics, and visualizations for technical, operational, or executive audiences.

  • Experience working in a manufacturing, plant, industrial automation, or other operational technology environment.

  • Familiarity with PLCs, HMIs, SCADA, industrial networks, or comparable systems.

  • Knowledge of data-governance practices, including data ownership, metadata, lineage, access controls, retention, quality standards, and documentation.

  • Familiarity with cybersecurity risk-management principles and frameworks such as the NIST Cybersecurity Framework, NIST SP 800-53, or ISO/IEC 27001/27002.

#LI-SB3

GM does not provide immigration-related sponsorship for this role. Do not apply for this role if you will need GM immigration sponsorship now or in the future. This includes direct company sponsorship, entry of GM as the immigration employer of record on a government form, and any work authorization requiring a written submission or other immigration support from the company (e.g., H1-B, OPT, STEM OPT, CPT, TN, J-1, etc). This role is categorized as hybrid. This means the selected candidate is expected to report to a specific location at least 3 times a week {or other frequency dictated by their manager}. This job may be eligible for relocation benefits.

About GM

Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.

Why Join Us

We believe we all must make a choice every day - individually and collectively - to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team.

Benefits Overview

From day one, we're looking out for your well-being-at work and at home-so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources.

Non-Discrimination and Equal Employment Opportunities (U.S.)

General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers.

All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws.

We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire.

Accommodations

General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email us or call us at 1-800-865-7580. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.


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About General Motors

Sourced by ZipRecruiter

General Motors is a company with global scale and capabilities, headquartered in Detroit, Michigan, with employees around the world. The company employs over 165,000 people, serves six continents, operates across 22 time zones, and has a diverse workforce speaking 75 languages1. GM’s vision is to drive the world forward by pioneering innovations that move and connect people to what matters. The company is working towards an all-electric future with its new Ultium Platform and is pushing transportation options beyond our wildest imaginations with autonomous vehicles. GM is also committed to becoming the most inclusive company in the world.

Industry

Transportation equipment manufacturing

Company size

10,000+ Employees

Headquarters location

Detroit, MI, US

Year founded

1908