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Entry Level Cyber Security Data Analyst Jobs (NOW HIRING)

Altair Data Resources, Inc

Data Analyst

Brentwood, TN · On-site

Altair Data Resources is seeking an entry-level Data Analyst who is looking for an opportunity to work in an entrepreneurial, high-growth, enthusiastic environment. You will gain significant ...

Online Remote Jobs

Entry Level Data Analyst

Manhattan, NY · Remote

$45.52K - $77.18K/yr

About the job Entry Level Data Analyst Responsibilities: * Development of policies, definitions, standards, and processes for costing data. * Responsible for managing compliance to policies ...

SynergisticIT

Entry Level Data Analyst

Sterling, VA

We are continuously looking for entry-level software programmers, Java Full stack developers, Python/Java developers, Data analysts/ Data Scientists, Data Engineers, Machine Learning engineers for ...

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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 Jun 1, 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 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 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 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.

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Entry Level Cyber Security Data Analyst jobs near you

Data Analyst

Altair Data Resources , Inc.

Brentwood, TN

Other

Posted 10 days ago

Job description

Altair Data Resources is seeking an entry-level Data Analyst who is looking for an opportunity to work in an entrepreneurial, high-growth, enthusiastic environment. You will gain significant experience within our Data Management group helping clients understand more about their data. Using our analytics and visualization tools, you will gain experience working with industry-leading software applications such as Alteryx, Python, Power BI, R and SQL.
Data Analyst Job Duties
Data analyst responsibilities include conducting analysis and producing datasets based on customer or manager requirements. Data analysts will develop analysis and reporting capabilities. They will also monitor key performance indicators and quality control plans to identify improvements.
Data Analyst Responsibilities

  • Interpret data, analyze results using statistical techniques and provide ongoing reports
  • Develop and implement databases, data collection systems, data analytics and other strategies that optimize statistical efficiency and quality
  • Acquire data from primary or secondary data sources and maintain databases/data systems
  • Identify, analyze, and interpret trends or patterns in complex data sets
  • Filter and "clean" data by reviewing computer reports and performance indicators to locate and correct code problems
  • Work with management to prioritize business and information needs
  • Locate and define new process improvement opportunities
Requirements
Data Analyst Job Requirements
  • Proven working experience as a data analyst or business data analyst. Class project experience may be substituted for work experience
  • Technical expertise regarding data models, data processing, data mining and segmentation techniques. Quality control methodologies are a plus (Lean, Six Sigma)
  • Strong knowledge of and experience with reporting packages (Tableau, Power BI, etc.), databases (SQL etc.), programming (Python, JavaScript, or ETL frameworks)
  • Knowledge of statistics and experience using statistical packages for analyzing datasets (Excel, SPSS, SAS, R etc.)
  • Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy
  • Adept at queries, report writing and presenting findings
  • Working towards or completed BS or MS in Mathematics, Computer Science, Data Science, Information Management or Statistics

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