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Entry Level Cyber Security Data Analyst Jobs (NOW HIRING)

Data Analyst

Fairfax, VA · On-site

$93K - $140K/yr

Everforth ECS is seeking a Data Analyst to work in our Arlington, VA office. This candidate will ... Knowledge of Federal Cybersecurity and Federal Cybersecurity and Risk Management Policies and ...

Data Analyst

Orlando, FL · On-site

$22 - $24/hr

Data Analyst - Entry Level Location: Orlando, FL 32827 Work Arrangement: Onsite Schedule: Monday-Friday | 8:00 AM-5:00 PM Pay Range: $22/hr - $24/hr Start Your Career in Data Analytics & Financial ...

Data Analyst - Entry Level Location: Orlando, FL 32827 Work Arrangement: Onsite Schedule: Monday-Friday | 8:00 AM-5:00 PM Pay Range: $22/hr - $24/hr Start Your Career in Data Analytics & Financial ...

Data Analyst Location: Trenton, NJ Job Type: Contract - 11 Months (Possibility of extension ... network security , and cybersecurity . Their primary focus is on providing human-centered ...

This is an entry level role requiring the individual to have the aptitude to learn and to ... cybersecurity incident response, support, and maintenance activities. If this sounds like you ...

Dive into innovation in Digital Transformation, Cybersecurity, IT, Data Analytics and Software Development. Your journey to impactful work and rapid growth starts now-be extraordinary at MANTECH!

Dive into innovation in Digital Transformation, Cybersecurity, IT, Data Analytics and Software Development. Your journey to impactful work and rapid growth starts now-be extraordinary at MANTECH!

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Entry Level Cyber Security Data Analyst information

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$43K

$99.4K

$150K

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

As of Sep 13, 2026, the average yearly pay for entry level 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 does an entry level cyber security data analyst do?

An Entry Level Cyber Security Data Analyst is responsible for collecting, analyzing, and interpreting data to help protect an organization's computer systems and networks from cyber threats. They monitor security systems, investigate suspicious activities, and assist in identifying vulnerabilities. Their work supports senior analysts in detecting potential breaches and ensuring compliance with security policies. Entry-level analysts often use various tools and software to examine security logs and generate reports for management.

What are the key skills and qualifications needed to thrive as an entry level cyber security data analyst, and why are they important?

To thrive as an Entry Level Cyber Security Data Analyst, you need a solid understanding of cybersecurity principles, data analysis techniques, and a bachelor's degree in computer science, information technology, or a related field. Familiarity with SIEM tools (like Splunk or IBM QRadar), scripting languages (such as Python or SQL), and security certifications (such as CompTIA Security+) is often expected. Strong attention to detail, analytical thinking, and clear communication help individuals excel in identifying threats and explaining findings to teams. These skills and qualifications are crucial for detecting security incidents, minimizing cyber risks, and supporting an organization's overall security posture.

What are some common challenges faced by entry level cyber security data analysts, and how can they be addressed?

Entry level Cyber Security Data Analysts often encounter challenges such as interpreting large volumes of security data, distinguishing between false positives and genuine threats, and keeping up with rapidly evolving cyber threats. To address these, it's important to develop strong analytical skills, become proficient with security information and event management (SIEM) tools, and participate in ongoing training. Collaborating closely with more experienced analysts and IT teams can also provide valuable guidance and help build confidence while resolving complex incidents.

What is the difference between Entry Level Cyber Security Data Analyst vs Cyber Security Analyst?

AspectEntry Level Cyber Security Data AnalystCyber Security Analyst
Required CertificationsCompTIA Security+, Cisco CCNA SecurityCompTIA Security+, CISSP (preferred for higher roles)
Work EnvironmentData analysis teams, security operations centers, IT departmentsSecurity operations centers, incident response teams, IT security departments
Employer & Industry UsageTech companies, finance, healthcare, government agenciesSame as entry level, often with more responsibility

While both roles focus on cybersecurity, the Entry Level Cyber Security Data Analyst primarily analyzes security data and reports, whereas the Cyber Security Analyst handles broader security monitoring, incident response, and threat mitigation. The analyst role typically requires more experience and certifications, but both roles are essential in protecting organizational assets.

How to become an entry level cyber security data analyst with no experience?

To become an entry-level cyber security data analyst with no experience, focus on gaining foundational knowledge through online courses in cybersecurity, data analysis, and relevant tools like Excel or SQL. Earning certifications such as CompTIA Security+ or Cisco's CCNA can also improve your prospects, and gaining practical experience through internships or personal projects helps build your skills for entry-level roles.
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Data Analyst

Fairfax, VA • On-site

$93K - $140K/yr

Full-time

Re-posted 17 days ago


Job description

Everforth ECS is seeking a Data Analyst to work in our Arlington, VA office.
Job Description:
This candidate will serve as a key point of contact in managing data target and data quality aspects of the CDM Data Services - BETSIE Program. Successful candidates will have excellent communication skills and will interact with stakeholders spanning multiple Agile teams, program leadership, and customer representatives. All parties have an interest in understanding and/or implementing the data model with quality in mind. Successful candidates will have an intermediate understanding of data modeling concepts and be able to perform impact analysis on change requests, respond to queries, and facilitate independent analysis efforts. Furthermore, the successful candidate will serve as the liaison for the customer's data quality efforts, participating in regular meetings, representing the CDM Data Services - BETSIE program, and supporting the requirements gathering process.
Specific Duties Include:
  • Ensuring technical and performance objectives related to data collection, processing, and analysis.
  • Design and deliver reporting and analytics solutions independently and in collaboration with stakeholders, ensuring alignment with program objectives.
  • Collaborate with cross-functional teams to gather and understand data requirements, identify pain points, and opportunities for improved data visualization and interaction.
  • Respond to ad hoc data requests, troubleshoot issues, and provide user education on reports and dashboards.
  • Create, test, and demo reports and dashboards, actively seeking feedback to refine and enhance user experiences.
  • Improve data quality and program metrics by developing appropriate documentation, automating data extraction, and generating visual reports.
  • Monitor and analyze system performance metrics, identifying trends or anomalies and reporting findings regularly.
  • Research, build and implement new reporting and analytics features.
  • Perform other duties as needed to support the program's success.

Salary Range: $93,000 - $140,000
General Description of Benefits
  • US citizenship with ability to obtain Public Trust Suitability.
  • At least three years of experience analyzing customer data requirements and prescribing and implementing solutions to meet those requirements.
  • Must have prior experience working on data models:
    • Developing and documenting data models
    • Adhering to data modeling standards
    • Interpreting data model intent
    • Managing the change process for data models
    • Serve as the SME supporting data modeling efforts
  • Must have an excellent understanding of:
    • UML standards and knowledge of entities, attributes, relationships on an ERD
    • Database management systems (i.e. relational, non-relational)
    • Understanding of data normalization processes
  • Knowledge of Federal Cybersecurity and Federal Cybersecurity and Risk Management Policies and practices, including: FISMA; NIST 800-37, 800-53, 800-30, 800-39; NISTIR 8286 Series, and FedRAMP.
  • Experience creating and maintaining Data Dictionaries and/or Data Catalogs to describe data inventories and schemas to help users understand, locate, and utilize data within the system.
  • Knowledge of data transformation processes and experience documenting and maintaining data lineage, esp. traceability of transformed data to source data.
  • Experience utilizing data cataloging and governance tools, esp. Alation and Collibra to help organizations improve data management, collaboration, and governance.
  • Experience automating assessment of data quality.