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Junior Cybersecurity Analyst Jobs in Springfield, IL

Envestnet

Lead AI Quality Assurance Engineer

Springfield, IL · Hybrid

$127K/yr

Working at the intersection of engineering, data science, product, cybersecurity, and business ... Mentors junior analysts and reviews testing deliverables for quality and consistency. * Supports ...

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All JobsCybersecurity Analyst JobsJunior Cybersecurity Analyst JobsJunior Cybersecurity Analyst Jobs in Springfield, IL

Junior Cybersecurity Analyst information

See Springfield, IL salary details

$15

$31

$53

How much do junior cybersecurity analyst jobs pay per hour?

As of Aug 17, 2026, the average hourly pay for junior cybersecurity analyst in Springfield, IL is $31.83, according to ZipRecruiter salary data. Most workers in this role earn between $22.88 and $35.00 per hour, depending on experience, location, and employer.

How to become a junior cybersecurity analyst with no experience?

To become a junior cybersecurity analyst with no experience, focus on gaining foundational knowledge through online courses, certifications like CompTIA Security+ or Cisco's CCNA, and hands-on practice with tools such as Wireshark or Kali Linux. Internships, volunteering, or entry-level IT roles can also provide relevant experience and help build skills in security monitoring and threat detection.

What does a junior cybersecurity analyst do?

A Junior Cybersecurity Analyst assists in protecting an organization’s computer systems and networks from cyber threats. They monitor security tools, analyze security incidents, respond to minor breaches, and help implement security measures. Under supervision, they may also help with vulnerability assessments, maintain security documentation, and stay updated on the latest cybersecurity trends. This entry-level role serves as a foundation for more advanced cybersecurity positions.

What is the difference between Junior Cybersecurity Analyst vs Security Analyst?

AspectJunior Cybersecurity AnalystSecurity Analyst
CertificationsCompTIA Security+, CEH (entry-level)CompTIA Security+, CISSP (more experienced)
Work EnvironmentEntry-level, supporting security teamsMid-level, analyzing security threats and incidents
ResponsibilitiesMonitoring security alerts, basic vulnerability assessmentsInvestigating security breaches, implementing security measures

The Junior Cybersecurity Analyst typically performs entry-level tasks such as monitoring security alerts and assisting in vulnerability assessments. In contrast, a Security Analyst handles more complex incident investigations and security strategy implementation. Both roles require similar certifications but differ in experience and responsibility levels, with the Security Analyst being more advanced.

What are the key skills and qualifications needed to thrive as a junior cybersecurity analyst, and why are they important?

To thrive as a Junior Cybersecurity Analyst, you need foundational knowledge of information security principles, networking basics, and typically a relevant degree or certification such as CompTIA Security+. Familiarity with security tools like SIEM systems, firewalls, and vulnerability scanners is important, as well as knowledge of common operating systems. Strong analytical thinking, attention to detail, and effective communication skills help you investigate incidents and explain findings to non-technical stakeholders. These skills and qualities are essential for detecting threats, ensuring compliance, and supporting the overall security posture of an organization.

What are the most common challenges faced by junior cybersecurity analysts during their first year on the job?

Junior Cybersecurity Analysts often encounter challenges such as quickly adapting to rapidly evolving threats, mastering a variety of security tools and technologies, and understanding complex organizational security protocols. Balancing incident response tasks with learning and professional development can be demanding, especially when prioritizing between proactive monitoring and reactive troubleshooting. However, most teams provide mentoring, structured training, and regular feedback to help new analysts build their skills and confidence over time.

How do you become a junior cybersecurity analyst?

To become a junior cybersecurity analyst, candidates typically need a bachelor's degree in cybersecurity, computer science, or a related field. Gaining knowledge of security tools, networking, and operating systems, along with relevant certifications like CompTIA Security+ or Cisco's CCNA, can improve job prospects. Entry-level roles often require strong analytical skills and the ability to learn quickly in a fast-paced environment.

What are the most commonly searched types of Cybersecurity Analyst jobs in Springfield, IL?

The most popular types of Cybersecurity Analyst jobs in Springfield, IL are:

What are popular job titles related to Junior Cybersecurity Analyst jobs in Springfield, IL?

For Junior Cybersecurity Analyst jobs in Springfield, IL, the most frequently searched job titles are:

What job categories do people searching Junior Cybersecurity Analyst jobs in Springfield, IL look for?

The top searched job categories for Junior Cybersecurity Analyst jobs in Springfield, IL are:

What cities near Springfield, IL are hiring for Junior Cybersecurity Analyst jobs?

Cities near Springfield, IL with the most Junior Cybersecurity Analyst job openings:

Junior Cybersecurity Analyst jobs near you
Infographic showing various Junior Cybersecurity Analyst job openings in Springfield, IL as of August 2026, with employment types broken down into 76% Full Time, 14% Part Time, and 10% Contract. Highlights an 92% In-person, and 8% Remote job distribution, with an average salary of $66,208 per year, or $31.8 per hour.

Lead AI Quality Assurance Engineer

Envestnet

Springfield, IL • Hybrid

Full-time

Medical, Retirement, PTO

Posted 2 days ago

New

Job description

The application window will close Month Day, Year 

Job Location   

The primary work location for this role is Berwyn, Raleigh, Boston, Chicago, or Seattle with a hybrid work model.   

About Envestnet  

Envestnet is an adaptive WealthTech company that is redefining the future of wealth management by helping advisors meet the moment with its comprehensive technology, actionable insights, and industry leading support. Backed by over 25 years of experience and approximately $7.0 trillion in platform assets, Envestnet is trusted by over one third of financial advisors across leading banks, wealth managers, brokerages, and RIAs.   

For a deeper look at how Envestnet is shaping the future of financial advice, visit www.envestnet.com.   

The Team You’ll Join  

The Quality Assurance Engineering team plays a critical role in ensuring the reliability, security, and effectiveness of Envestnet’s technology solutions, with a growing focus on AI-enabled products and platforms. Working at the intersection of engineering, data science, product, cybersecurity, and business operations, the team develops and executes innovative testing and validation strategies that help deliver trusted experiences for clients and internal stakeholders alike. By championing quality, governance, automation, and continuous improvement, the team helps accelerate the adoption of emerging technologies while ensuring solutions are scalable, compliant, and built to meet the highest standards of performance and customer confidence.

How You’ll Contribute  

Ensures that artificial intelligence solutions are accurate, reliable, secure, compliant and aligned with business and client expectations. Combines traditional QA practices with AI / ML validation techniques to test data integrity, model performance, automation workflows and user outcomes. Works with engineering, data science, product management, cybersecurity, legal and risk teams to validate AI-enabled products and operational processes. Continuously improves testing frameworks, monitoring methodologies, governance standards and automation capabilities to support scalable and trustworthy AI adoption.

  • Leads testing efforts for moderately complex AI products, features and platform enhancements.
  • Designs advanced test plans covering model accuracy, bias detection, explainability and operational resilience.
  • Develops automated testing frameworks and monitoring approaches for AI systems.
  • Performs detailed analysis of defects, model drift and production quality issues.
  • Partners with cross-functional stakeholders to define acceptance criteria and quality standards.
  • Mentors junior analysts and reviews testing deliverables for quality and consistency.
  • Supports implementation of enterprise AI governance and risk management controls.
  • Recommends improvements to testing methodologies, tooling and operational processes.
  • Facilitates quality reviews, stakeholder workshops, model validation discussions, and testing strategy sessions.
  • Identifies operational, technical, compliance, and model-related risks and recommends mitigation strategies.
  • Leads validation activities for AI models, data pipelines, automation workflows, user-facing AI capabilities, vendors, tools, and third-party technologies.
  • Evaluates quality, reliability, security, governance, and compliance considerations associated with AI products and services.

What You’ll Need to Bring  

  • Candidates should demonstrate the relevant experience, skills, and capabilities needed to successfully perform in the role. Relevant experience may be gained through current responsibilities, prior roles, project work, leadership opportunities, or other comparable experiences.
  • Ability to evaluate complex problems, identify root causes, assess alternatives, and implement practical, scalable, data-driven solutions.
  • Demonstrated ability to establish and maintain productive relationships across business, technology, product, engineering, data science, and risk organizations.
  • Knowledge of process improvement techniques, operational workflows, dependency management, quality optimization, and governance practices.
  • Ability to communicate technical and non-technical concepts clearly to diverse audiences, including leadership stakeholders.
  • Experience coordinating cross-functional initiatives, managing dependencies, tracking progress, and delivering measurable outcomes.
  • Strong understanding of AI concepts, machine learning fundamentals, AI system capabilities, limitations, risks, and practical applications, with experience validating AI/ML models, Generative AI applications, LLM-enabled systems, or data science solutions.
  • Experience with automated testing frameworks, API testing, model evaluation, prompt testing, hallucination testing, data quality validation, AI governance controls, and regulatory, security, privacy, or responsible AI requirements.

Nice-to-Haves  

  • [insert text]

Why You’ll Enjoy Working at Envestnet  

Help shape the future of WealthTech. At Envestnet you’ll gain hands-on experience and collaborate with some of the industry’s brightest minds to deliver meaningful, innovative solutions that make a real difference. 

We value flexibility in how and where work gets done, and we recognize strong performance with meaningful rewards—because your contributions should drive both business success and your own personal growth. If you’re looking for a place where your work has impact, your development is supported, and your contributions are truly valued, Envestnet is where you can build your future.  

The opportunity is now!  

Sponsorship  

This position is not open to candidates requiring visa sponsorship  

Our Investment in You 

This role offers a base salary range of $152,300 to $190,400. The range listed represents a good-faith estimate of base salary compensation for this position and does not include incentive compensation, equity or benefits. Individual pay will be determined based on factors including, but not limited to, relevant experience, skills, education, certifications, and geographic location, in accordance with applicable pay transparency laws.  This role is eligible for an additional incentive component as part of the total rewards package.   

 

We provide a comprehensive suite of benefits - subject to Envestnet’s plan eligibility rules - that support your overall well-being including, medical insurance, paid time off (PTO), 401k company match, paid parental leave, education reimbursement, disability coverage and mental health & wellness support. Our investment in you means supporting you professionally, financially, and personally at every stage of your journey with us.  Please visit our benefits page on our career site to learn more.  

   

Our Commitment to Inclusion & Belonging  

Envestnet is an Equal Opportunity Employer and is committed to creating an inclusive environment for all employees and applicants. We welcome and value individuals of all backgrounds and do not discriminate based on race, color, religion, creed, sex (including pregnancy or related medical conditions), gender identity or expression, sexual orientation, national origin, ancestry, age, disability, genetic information, military or veteran status, citizenship status, or any other status protected by applicable law. We encourage individuals from all backgrounds to apply.  

 

We strive to provide an inclusive application and interview process. If you are a candidate with a disability and require reasonable accommodation, please contact us at  careers@envestnet.com. Please include your full name, the title of the role you are applying for, and the accommodation necessary to assist you with the recruiting process.       

 

Recruitment Fraud 

At Envestnet, safeguarding the trust and safety of job seekers is a top priority. We are aware that scammers may impersonate Envestnet recruiters or create fake job opportunities to deceive candidates. Review the information on our recruitment fraud awareness page to help you recognize and avoid recruitment fraud. 

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