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Contractual Cyber Security Data Analyst Jobs (NOW HIRING)

AIG

Lead Cyber Security Data Visualizer

Dallas, TX · On-site

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.

Novul Solutions

Cyber Data Analyst

Alexandria, VA · On-site

$120K - $140K/yr

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

Novul Solutions

Cyber Data Analyst

Alexandria, VA · On-site

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

Hack The Box

Data Analyst

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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Contractual Cyber Security Data Analyst information

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$43K

$99.4K

$150K

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

As of Jul 17, 2026, the average yearly pay for contractual 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 Contractual Cyber Security Data Analysts?

Contractual Cyber Security Data Analysts are professionals hired on a contract basis to analyze and interpret data related to an organization's cyber security. They assess threats, monitor network activity, identify vulnerabilities, and help develop strategies to protect sensitive information. Unlike permanent employees, contractual analysts are typically brought in for specific projects or to address immediate security needs. They work with various security tools and collaborate with IT teams to ensure robust cyber defense. Their expertise is crucial in helping organizations mitigate risks and respond effectively to cyber incidents.

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

A Contractual Cyber Security Data Analyst requires strong analytical abilities, knowledge of cybersecurity principles, and expertise in data analysis, usually supported by a degree in computer science or a related field. Familiarity with tools such as SIEM platforms (e.g., Splunk), scripting languages (like Python), and relevant certifications (such as CompTIA Security+ or CISSP) is typical. Attention to detail, problem-solving skills, and effective communication distinguish top performers in this role. These competencies are crucial for accurately identifying threats, protecting organizational assets, and ensuring clear reporting in dynamic, project-based environments.

What are some common challenges a Contractual Cyber Security Data Analyst may face when working with multiple clients?

As a Contractual Cyber Security Data Analyst, you'll often juggle projects for several clients, each with unique security protocols and data formats. Adapting quickly to different network environments and compliance standards can be challenging, especially when switching between clients with varying levels of cyber maturity. Effective communication and time management are key, as you'll need to deliver actionable insights while coordinating with in-house IT and security teams remotely. Staying organized and flexible helps ensure you meet deadlines and maintain high-quality analysis across diverse engagements.
What cities are hiring for Contractual Cyber Security Data Analyst jobs? Cities with the most Contractual 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:
Contractual Cyber Security Data Analyst jobs near you
Cybersecurity Data Engineer - HYBRID

Cybersecurity Data Engineer - HYBRID

Chandra Technologies, Inc.

Raleigh, NC • On-site

$111K - $133K/yr

Other

Posted yesterday

Job description

Job Description:

***Crop to Crop resumes are accepted

***The manager would like the candidate to be onsite regularly throughout the position. The amount of onsite time per week will be negotiable. However, weekly onsite time will be required.

Job Summary - Data Engineer:

We are seeking a skilled mid-level+ Data Engineer to join our team and focus on quality assurance, quality checking, and ETL processes. The successful candidate will be responsible for ensuring the integrity and accuracy of data transferred from a shared file transfer service to an S3 bucket and subsequently into and through our Snowflake data platform. This data will be utilized by downstream applications and reporting systems. These applications and the corresponding consumed data are critical to business process execution.

Key Responsibilities:

  • Quality Assurance & Quality Checking:  Implement and maintain data quality to ensure the accuracy and reliability of data throughout the ETL process.
  • ETL Processes: Design, develop, and optimize ETL workflows to efficiently transfer data from file transfer services to S3 buckets and Snowflake.
  • Data Integration: Ensure seamless data integration into data platform, enabling efficient consumption by downstream applications and reporting tools.
  • Data Quality Management: Address data quality challenges, including inconsistencies in source data that do not meet ingestion requirements, which can lead to load failures or data backouts.
  • Collaboration: Work closely with business owners, data analysts, business intelligence teams, and other stakeholders to understand data requirements and deliver high-quality data solutions.
  • Monitoring & Troubleshooting: To preserve data flow and integrity, monitor pipelines, identify issues, and implement solutions.

Qualifications (Knowledge/Skills/Abilities):

  • Demonstrated mid-level+ experience in data engineering, with a emphasis on data quality assurance and ETL processes.
  • Expertise in Python, PyPI, and SQL
  • Expert analytical and problem-solving skills.
  • Demonstrate a strong understanding of cybersecurity principles related to code development, DevOps, data access, and fundamental cybersecurity.
  • Understanding of fundamental public-cloud capabilities.
  • Proven capacity to comprehend business needs and convert them into technical requirements.
  • Demonstrated excellence in communication and collaboration abilities.
  • Proven capacity to define success, deliver, and operate in an agile setting.

 Required Skills:

Demonstrated mid-level+ experience in data engineering, with an emphasis on data quality assurance and ETL processes.

Expertise in Python, PyPI, and SQL

Demonstrate a strong understanding of cybersecurity principles related to code development, DevOps, data access, and fundamental cybersecurity.

Understanding of fundamental public-cloud capabilities.

Proven capacity to comprehend business needs and convert them into technical requirements.

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