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Computer Forensics Analyst Jobs in Wichita, KS (NOW HIRING)

Computer Forensics Analyst information

See Wichita, KS salary details

$64.2K

$100.4K

$154K

How much do computer forensics analyst jobs pay per year?

As of Jul 13, 2026, the average yearly pay for computer forensics analyst in Wichita, KS is $100,361.00, according to ZipRecruiter salary data. Most workers in this role earn between $74,000.00 and $120,400.00 per year, depending on experience, location, and employer.

What do forensic computer analysts do?

Forensic computer analysts investigate digital devices to recover, analyze, and preserve electronic evidence for legal cases. They use specialized tools and techniques to examine data from computers, smartphones, and storage media, often working closely with law enforcement or legal teams to support investigations.

What does a Computer Forensics Analyst do?

A Computer Forensics Analyst is a cybersecurity professional who investigates digital devices and networks to uncover evidence of crimes or security breaches. They collect, analyze, and preserve data from computers, mobile devices, and other digital storage media, ensuring that the evidence remains admissible in court. These analysts often work with law enforcement agencies, legal teams, or private companies to identify how cybercrimes occurred and to help prevent future incidents.

What are the key skills and qualifications needed to thrive as a Computer Forensics Analyst, and why are they important?

To thrive as a Computer Forensics Analyst, you need a solid understanding of cybersecurity principles, computer systems, and digital evidence handling, often supported by a degree in computer science, cybersecurity, or a related field. Proficiency in forensic tools like EnCase, FTK, and familiarity with operating systems, as well as certifications such as GIAC Certified Forensic Analyst (GCFA) or Certified Computer Examiner (CCE), are typically required. Attention to detail, analytical thinking, and strong written communication skills help analysts effectively investigate incidents and present findings. These competencies are crucial for accurately uncovering digital evidence, supporting legal processes, and maintaining the integrity of investigations.

How much do computer forensic analysts make?

Computer forensic analysts typically earn a median annual salary of around $70,000 to $100,000, depending on experience, education, and location. Entry-level positions may start lower, while those with specialized skills or certifications can earn higher salaries, especially in government or private sectors with complex investigations.

What are some common challenges faced by Computer Forensics Analysts during investigations?

Computer Forensics Analysts often encounter challenges such as dealing with encrypted or deleted data, rapidly evolving technology, and maintaining the integrity of digital evidence. They must also ensure that their investigative methods comply with legal and regulatory standards to ensure evidence is admissible in court. Additionally, analysts frequently work under tight deadlines and may need to collaborate closely with law enforcement, legal teams, and IT departments to piece together complex digital trails.

How do you become a computer forensic analyst?

To become a computer forensic analyst, individuals typically need a bachelor's degree in computer science, cybersecurity, or a related field. Gaining experience with digital forensics tools and techniques, obtaining certifications such as Certified Computer Forensics Examiner (CCFE) or EnCase Certified Examiner (EnCE), and developing strong analytical and technical skills are also important steps in entering the profession.

What Does a Computer Forensics Analyst Do?

As a computer forensics analyst, your duties focus on investigating electronic data and digital devices for law enforcement purposes. Your responsibilities include obtaining, accessing, and analyzing data from hard drives, emails, smartphones, and tablets. In this career, you may investigate cyber crimes (which take place on the internet) or gather digital evidence for other types of criminal investigations. In addition to collecting information, you retrieve data that someone destroyed, deleted, or obscured to hide evidence of a crime. Computer forensic analysts work for law enforcement agencies, private contractors, lawyers, or corporations. Some computer experts work on a freelance basis.

Will AI take over digital forensics?

Computer Forensics Analysts use specialized tools and techniques to investigate digital evidence, and AI can assist by automating data analysis and pattern recognition. However, human expertise remains essential for interpreting complex cases, making decisions, and ensuring legal compliance in digital investigations.

What is the difference between Computer Forensics Analyst vs Digital Forensics Specialist?

AspectComputer Forensics AnalystDigital Forensics Specialist
CertificationsEnCE, GCFAEnCE, GCFA
Work EnvironmentLaw enforcement, corporate security, consulting firmsLaw enforcement, government agencies, private sector
Industry UsageCommonly used in investigations and legal casesUsed in incident response and cybersecurity investigations

Both roles involve analyzing digital evidence, often requiring similar certifications like EnCE and GCFA. The main difference lies in their focus: Computer Forensics Analysts typically work on legal cases and investigations, while Digital Forensics Specialists often focus on incident response and cybersecurity threats. Both roles are vital in digital security and forensics fields, with overlapping skills and work environments.

What are the most commonly searched types of Computer Forensics Analyst jobs in Wichita, KS? The most popular types of Computer Forensics Analyst jobs in Wichita, KS are:
What are popular job titles related to Computer Forensics Analyst jobs in Wichita, KS? For Computer Forensics Analyst jobs in Wichita, KS, the most frequently searched job titles are:
What job categories do people searching Computer Forensics Analyst jobs in Wichita, KS look for? The top searched job categories for Computer Forensics Analyst jobs in Wichita, KS are:
Infographic showing various Computer Forensics Analyst job openings in Wichita, KS as of July 2026, with employment types broken down into 1% Locum Tenens, 1% Internship, 82% Full Time, 11% Part Time, 1% Temporary, and 4% Contract. Highlights an 82% Physical, 5% Hybrid, and 13% Remote job distribution, with an average salary of $100,361 per year, or $48.3 per hour.
Advanced Security Engineer, Enterprise Security

Advanced Security Engineer, Enterprise Security

Relativity

Wichita, KS โ€ข On-site

Other

Re-posted 27 days ago


Job description

Posting Type

Remote/Hybrid

Job Overview

The Advanced Security Engineer is a technically deep, hands-on practitioner who forms the operational backbone of the enterprise security function. Operating within a layered defense-in-depth program, this engineer owns the design, deployment, implementation and optimization of AI-enabled security technologies at all layers. With the goal of enabling automated orchestration of security operations into day-to-day detection and response capabilities, hardening rigor, and rapid response. This role works closely with the Senior Manager of Enterprise Security and cross-functional engineering teams to reduce the organization's attack surface, enable threat landscape adaptability, and improve detection and response times across Relativity's technical ecosystem.

Job Description and Requirements

Layered Defense/Defense in Depth
  • As applicable, design, deploy and optimize security controls that span perimeter, network, host, application, identity and data layers, ensuring and maintaining effectiveness of controls at each layer.
  • Collaborate cross-functionally to ensure controls are aligned to industry recognized frameworks.
  • Validate that telemetry from each layer feeds the central analytics platforms and supports 360-degree visibility and appropriate attack surface coverage.
  • Continuously assess effectiveness of enterprise security controls as the ecosystem expands and the threat landscape evolves, supplement or extend coverage accordingly.
  • Proactively partner with IT, Engineering and other stakeholders to embed security controls natively.
  • Periodically provide recommendations on technical design of security controls aligned to vulnerabilities, risks, issues and/or events.
  • Support purple-team exercises and control-efficacy testing to verify depth and resilience under attack conditions.
  • Ensure redundant, complementary security capabilities to prevent bypasses and ensure failure redundancy through all security layers.

Endpoint Security & Hardening
  • Deploy, integrate, optimize and manage EDR/XDR platforms and periodically define custom detections and automated response actions across security tooling.
  • Establish and enforce endpoint and image hardening baselines, configuration standards, and application control baselines.
  • Integrate endpoint telemetry into the central analytics platform (or SIEM) to support security context and cross-domain correlation; ensure SIEM coverage is adequate and effective.
  • Collaborate cross-functionally to ensure security events, exposures, vulnerabilities and alerts are remediated within appropriate SLA's.
  • Investigate endpoint-based alerts and incidents through to root cause: perform triage, forensic artifact collection (memory, disk, logs), timeline reconstruction, and containment/eradication actions.

Threat Hunting
  • Collaborate cross-functionally to support purple team exercises and analyze security telemetry to surface anomalous and malicious behavior to the relevant stakeholders.
  • Develop, execute and document structured hunts mapped to MITRE ATT&CK and ATLAS techniques and current threat intelligence.
  • Perform exposure analysis on identified vulnerabilities, zero-day, alert telemetry, threat intelligence feeds and notifications from partners and customers and conclude on exploitability risk and/or exposure.
  • Maintain awareness of the evolving threat landscape, adversary TTP's, and emerging vulnerabilities and their relevance to Relativity's technical ecosystem and organizational trajectory.
  • Standardize and document hunt methodology, hypotheses, and outcomes and collaborate with security stakeholders to mature threat hunting program over time.
  • Convert successful hunts, exposure analysis, purple team findings and alerts into durable, automated detections and containment logic and improved coverage.

AI-Enabled Security Operations
  • Build and maintain SOAR workflows that automate enrichment, triage, containment, and routine response actions.
  • Measure and continuously improve the impact of automation on time-based detection, containment and response to reduce threat actor dwell time.
  • Identify, evaluate and operationalize AI/ML capabilities for semantic anomaly detection, behavioral analytics, alert triage, and prioritization.

Data Security
  • Implement data classification, discovery, and data security posture management across cloud and on-premises stores.
  • Deploy and tune data loss prevention controls across endpoints, network, email, cloud and SaaS surfaces.
  • Investigate data key risk indicators associated with data access, exfiltration, and integrating data telemetry into central analytics (SIEM).

Minimum Qualifications:
  • Bachelor's in Computer Science, Information Security, or equivalent experience.
  • 5+ years of hands-on experience in enterprise security engineering, with a focus on network and/or endpoint security domains (or) Master's Degree in Cybersecurity or relevant field.
  • Hands-on experience with common security tools such as EDR, XDR, SIEM, CNAPP, CSPM, CWP, etc. and intermediate knowledge of applicable security technologies at all layers of the OSI model.
  • Threat hunting, digital forensics, and/or detection engineering experience and writing automation scripts and rules for security enforcement and/or observability.
  • Basic knowledge of industry standard common security benchmarks and frameworks (e.g., MITRE, NIST, etc.)
  • Proficiency in at least one scripting/automation language (Python, Bash, or PowerShell) applied to modern containerized services, CLI based commands, and/or security specific use cases.
  • Ability to communicate technical findings clearly to both engineering peers and non-technical stakeholders.

Preferred Qualifications:
  • Familiarity with AI-enabled SecOps (e.g., detection: UEBA, ML-based alert prioritization, or AI-assisted threat hunting workflows)
  • Basic knowledge of common cloud environments such as AWS, Azure or GCP.
  • Working knowledge of software development lifecycle, software engineering practices or infrastructure as code environments: contributing endpoint or network security controls to CI/CD pipelines.
  • Experience supporting compliance and audit requirements (SOC 2, ISO 27001, HIPAA) from a technical control perspective.
  • Relevant certifications such as SEC+, CISSP, CISA, GCIH, GCFA, GCIA, GPEN, OSCP, CySA+, or equivalent.

Relativity is committed to competitive, fair, and equitable compensation practices.

This position is eligible for total compensation which includes a competitive base salary, an annual performance bonus, and long-term incentives.

The expected salary range for this role is between following values:

$104,000 and $156,000

The final offered salary will be based on several factors, including but not limited to the candidate's depth of experience, skill set, qualifications, and internal pay equity. Hiring at the top end of the range would not be typical, to allow for future meaningful salary growth in this position.

Required Skills:

Endpoint Security, Network Security, Penetration Testing, Security Architecture Design, Security Automation, Security Information, Security Information and Event Management (SIEM), Security Operations, Threat Modeling, Vulnerability Management