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Entry Level Cyber Security Data Analyst Jobs in Naperville, IL

Dhalite Inc.

Entry level Data Analyst

Chicago, IL · On-site

Job Summary We are seeking a Data Analyst to collect, process, and analyze data to support business decision-making and operational efficiency. The ideal candidate will have strong analytical skills ...

Iatinsurancegroup

Business Data Analyst

Naperville, IL · On-site +1

$55K - $120K/yr

Elicit, analyze, and document business and data requirements from stakeholders across the insurance ... We offer comprehensive benefits like: * 26 PTO Days (Entry Level) + 12 Company Holidays = 38 Paid ...

Accenture

Data Protection, A/SA-Evergreen

Chicago, IL · On-site

$84K - $100K/yr

As a Data Protection Senior Analyst, you'll support the delivery of data protection, data ... Degree in Information Technology, Cybersecurity, Computer Science, or related field (or equivalent ...

Avanade

Data Protection, A/SA-Evergreen

Chicago, IL · On-site

$84K - $100K/yr

As a Data Protection Senior Analyst, you'll support the delivery of data protection, data ... Degree in Information Technology, Cybersecurity, Computer Science, or related field (or equivalent ...

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Entry Level Cyber Security Data Analyst information

See Naperville, IL salary details

$42.9K

$99.3K

$149.8K

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

As of Sep 5, 2026, the average yearly pay for entry level cyber security data analyst in Naperville, IL is $99,252.00, according to ZipRecruiter salary data. Most workers in this role earn between $79,400.00 and $115,300.00 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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Entry Level Cyber Security Data Analyst jobs near you

Entry level Data Analyst

Dhalite Inc.

Chicago, IL • On-site

Other

Re-posted yesterday

Job description

Note: Applicants must be currently authorized to work in the United States without the need for visa sponsorship now or in the future. Job Summary


We are seeking a Data Analyst to collect, process, and analyze data to support business decision-making and operational efficiency. The ideal candidate will have strong analytical skills and experience working with large datasets, data visualization tools, and statistical techniques to identify trends, build predictive models, and generate actionable insights. This role requires collaboration with cross-functional teams to transform complex data into meaningful business strategies.

Key Responsibilities

  • Build and optimize data pipelines and ETL workflows for efficient data processing and integration.
    Analyze large datasets using Python, SQL, and statistical methods to identify patterns and trends.
    Create interactive dashboards and visual reports using Power BI, Tableau, or similar tools.
    Implement predictive forecasting and analytical models to support strategic decision-making.
    Automate data workflows and reporting processes to improve operational efficiency.
    Ensure data quality, accuracy, and integrity through validation and monitoring frameworks.
    Perform root cause analysis on performance and operational issues using data insights.
    Work with cross-functional teams to gather requirements and translate data into actionable insights.
    Maintain documentation of data processes, models, and reporting systems.
    Develop and maintain data models and analytical solutions to improve business insights and predictive accuracy.

Required Qualification

  • Bachelor s degree in Data Science, Computer Science, Statistics, Information Systems, or a related field.
    Strong knowledge of data analysis, statistical techniques, and data visualizations
    Experience working with databases and large datasets.
    Ability to interpret complex data and present insights clearly to stakeholders.
    Strong problem-solving and analytical thinking skills.

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