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Executive Cyber Security Data Analyst Jobs (NOW HIRING)

... data platforms for the Cybersecurity Data Lakehouse (CyberDW). The goal of the CyberDW is to ... analysts within the IT and CDAO departments as well as other stakeholders aligned with the ...

MRT-C Data Analyst

Colorado Springs, CO ยท On-site

$70K - $95K/yr

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 ...

Cyber Data Analyst

Alexandria, VA ยท On-site

$55 - $65/hr

Knowledge of cybersecurity principles and best practices * Knowledge of threat and user activity ... Demonstrated ability to communicate effectively with senior-level executives. Preferred ...

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Executive Cyber Security Data Analyst information

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$43K

$99.4K

$150K

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

As of Jul 20, 2026, the average yearly pay for executive 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 are some common challenges faced by Executive Cyber Security Data Analysts when translating technical findings for non-technical stakeholders?

One of the main challenges for Executive Cyber Security Data Analysts is communicating complex data-driven security insights to executives and business leaders who may not have a technical background. This often requires simplifying technical jargon, focusing on business impact, and providing actionable recommendations that align with organizational goals. Analysts must balance accuracy with clarity, ensuring stakeholders understand both risks and the rationale behind proposed security measures. Building effective communication skills and developing tailored reporting tools are crucial for success in this aspect of the role.

What is an Executive Cyber Security Data Analyst?

An Executive Cyber Security Data Analyst is a specialized professional who analyzes and interprets complex cyber security data to help organizations make informed strategic decisions. They work closely with senior leadership to provide insights on threats, vulnerabilities, and risk trends, often translating technical information into actionable business recommendations. Their role typically involves data analysis, reporting, and developing strategies to improve the organization's overall security posture. They also support executive decision-making by presenting key findings in a clear and concise manner. This position requires both technical expertise in cyber security and strong communication skills.

What are the key skills and qualifications needed to thrive as an Executive Cyber Security Data Analyst, and why are they important?

To thrive as an Executive Cyber Security Data Analyst, you need deep expertise in cybersecurity principles, data analytics, risk assessment, and a relevant degree in computer science or information security. Familiarity with SIEM tools (such as Splunk), data visualization platforms, and industry certifications like CISSP or CISM are highly beneficial. Strong analytical thinking, attention to detail, and the ability to communicate complex findings to executive leadership distinguish top performers in this role. These skills are critical for identifying vulnerabilities, enabling informed decision-making, and protecting organizational assets in a rapidly evolving threat landscape.

What is the difference between Executive Cyber Security Data Analyst vs Cyber Security Data Analyst?

AspectExecutive Cyber Security Data AnalystCyber Security Data Analyst
CertificationsOften requires advanced certifications like CISSP, CISATypically holds certifications like CompTIA Security+, CEH
Work EnvironmentStrategic roles, executive meetings, policy developmentOperational roles, data analysis, security monitoring
Employer & Industry UsageUsed in large corporations, government agenciesCommon across various industries, including tech and finance

The Executive Cyber Security Data Analyst focuses on strategic security initiatives, policy, and leadership, often requiring advanced certifications and experience. In contrast, the Cyber Security Data Analyst handles day-to-day data analysis, monitoring, and technical security tasks. Both roles are vital but differ mainly in scope, responsibilities, and seniority level.

What cities are hiring for Executive Cyber Security Data Analyst jobs? Cities with the most Executive Cyber Security Data Analyst job openings:
What are the most commonly searched types of Cyber Security Data Analyst jobs? The most popular types of Cyber Security Data Analyst jobs are:
What states have the most Executive Cyber Security Data Analyst jobs? States with the most job openings for Executive Cyber Security Data Analyst jobs include:

Data Analyst

Amicis Global

Jersey City, NJ โ€ข On-site

Contractor

Re-posted 17 days ago


Job description

Title: Data Analyst
Location:ย Jersey City, NJ
Duration: 6+ Months
ย 
Summary:
This important role will be responsible for defining and creating the Data Quality rules within the AD Information Security department. This is part of the overall cyber data initiative focusing on building the security and risk data platforms for the Cybersecurity Data Lakehouse (CyberDW). The goal of the CyberDW is to centralize the ISDAD data as well as establish effective data governance around the data sources and its data lineage.
This newly formed role will collaborate with developers, data owners, governance leads and business analysts within the IT and CDAO departments as well as other stakeholders aligned with the applications owned by ISDAD.
Summary:
- Partner with the data owners and stakeholders to create KDEs and DQ rules needed for ISDAD data. Partner with the Data Owners and Data Stewards to understand what critical metrics and data fields are needed for Metric Dashboards.
- Perform data validations and reconciliations to assess validity and effectiveness of the DQ rules, conduct QA and UAT, create and maintain detailed test plans, execute test cases, and test scripts to validate CDQ results.
- Defines, tests, and deploys data quality rules to monitor and enforce data integrity across enterprise systems. Responsibilities: Collaborate with data stewards to define rules | Implement validation logic in tools or code | Track rule coverage and effectiveness
07311- Collibra DIP and CDQ products. Important Knowledge of data profiling and validation tools
- Proficiency in SQL or rule based engines
- Understanding of master and reference data management