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Computer Forensics Analyst Jobs in Minneapolis, MN

Evaluation Analyst

Saint Paul, MN · On-site +1

$80K - $120K/yr

Analyze and interpret evaluation and research study data and information for department management and employees, community agencies, vendors, and the County Board; prepare research reports of ...

... forensics, fraud detection, and exam security analytics capabilities. This role will focus on ... Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, Engineering, or a ...

Conducts on-site, hands-on forensic fire analysis. This includes scene photography, interviewing ... Must have knowledge of a variety of computer software applications including but not limited to ...

New

Incident Responder II

Oakdale, MN · Hybrid

$75K - $94K/yr

... Analysis * Track security alerts and logs from both Windows and Linux platforms. * Perform forensic ... Bachelor's degree in Cybersecurity, Information Technology, Computer Science or related field.

Incident Responder II

Oakdale, MN · Hybrid

$75K - $94K/yr

... Analysis * Track security alerts and logs from both Windows and Linux platforms. * Perform forensic ... Bachelor's degree in Cybersecurity, Information Technology, Computer Science or related field.

PL/SQL Developer

Saint Paul, MN

$51.25 - $64.75/hr

Computer Science or Information Technology degree Experience in all aspects of the Software ... Forensic data analysis/troubleshooting o Oracle 11g o Hadoop o Subversion o Toad o JIRA o ...

... Forensic team, you will be responsible for... * Lead end-to-end validation activities for GxP ... Lead CAPA activities for validation findings, including root cause analysis, effectiveness checks ...

... Forensic team, you will be responsible for... * Lead end-to-end validation activities for GxP ... Lead CAPA activities for validation findings, including root cause analysis, effectiveness checks ...

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Computer Forensics Analyst information

See Minneapolis, MN salary details

$67.8K

$106.1K

$162.8K

How much do computer forensics analyst jobs pay per year?

As of Jul 30, 2026, the average yearly pay for computer forensics analyst in Minneapolis, MN is $106,126.00, according to ZipRecruiter salary data. Most workers in this role earn between $78,300.00 and $127,300.00 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 Minneapolis, MN? The most popular types of Computer Forensics Analyst jobs in Minneapolis, MN are:
What are popular job titles related to Computer Forensics Analyst jobs in Minneapolis, MN? For Computer Forensics Analyst jobs in Minneapolis, MN, the most frequently searched job titles are:
Infographic showing various Computer Forensics Analyst job openings in Minneapolis, MN as of July 2026, with employment types broken down into 1% Locum Tenens, 86% Full Time, 8% Part Time, 1% Temporary, and 4% Contract. Highlights an 85% Physical, 6% Hybrid, and 9% Remote job distribution, with an average salary of $106,126 per year, or $51 per hour.

Advanced Specialist, Data Engineering

Pearson

Bloomington, MN • Remote

$135K - $165K/yr

Full-time

This job post has expired today. Applications are no longer accepted.


Job description

Advanced Specialist, Data Engineering Position Summary

Pearson Professional Assessments is seeking a Data Architect to lead the design and evolution of the data ecosystem supporting advanced data forensics, fraud detection, investigative analytics, and threat intelligence.

This role will establish the architecture, governance, and technical foundations necessary to deliver scalable analytics, machine learning, and investigative intelligence capabilities across a global assessment environment.

The successful candidate will combine strategic architectural vision with hands-on expertise in cloud data platforms, data engineering, and analytics enablement.


Key ResponsibilitiesData Architecture & Strategy
  • Design and maintain enterprise-scale data architectures supporting forensic analytics and security operations.
  • Define standards for data modeling, integration, quality, lineage, and governance.
  • Develop target-state architectures that support both operational reporting and advanced analytical workloads.
  • Create architectural roadmaps that align with business and security objectives.
Data Platform Design
  • Architect and optimize cloud-based analytics platforms utilizing Azure and Databricks technologies.
  • Design scalable solutions supporting data lakes, warehouses, and analytical processing environments.
  • Ensure performance, reliability, scalability, and resiliency across the data ecosystem.
Data Integration & Engineering
  • Design frameworks for integrating data from:
    • Test delivery systems
    • Remote proctoring platforms
    • Identity verification systems
    • Security technologies
    • Investigation and case management platforms
    • Internal and external intelligence sources
  • Establish standards for batch, real-time, and streaming data pipelines.
Governance, Quality & Security
  • Implement enterprise data governance standards and controls.
  • Ensure appropriate data security, privacy, retention, and compliance requirements are met.
  • Establish data quality monitoring and remediation processes.
  • Support audit, regulatory, and compliance initiatives as required.
Analytics & AI Enablement
  • Build and maintain architectures that support machine learning, artificial intelligence, and advanced analytics workloads.
  • Partner with Data Scientists to optimize data access and analytical workflows.
  • Develop reusable data products and services that accelerate analytical development.
Technical Leadership
  • Serve as a trusted advisor on data architecture decisions.
  • Evaluate emerging technologies and architectural patterns.
  • Mentor technical teams on data management best practices.
  • Partner with stakeholders across security, technology, and business organizations.

Required Qualifications
  • Bachelor's degree in Computer Science, Information Systems, Data Engineering, or related discipline.
  • 5+ years of experience in Data Architecture, Data Engineering, Analytics Architecture, or related fields.
  • Strong experience with:
    • Azure Data Platform technologies
    • Databricks
    • SQL
    • Enterprise Data Modeling
    • Data Lake and Data Warehouse architectures
    • ETL/ELT design patterns
  • Experience designing and implementing enterprise-scale data solutions.
  • Strong understanding of governance, data quality, and information management principles.

Preferred Qualifications
  • Experience supporting cybersecurity, fraud prevention, investigation, risk, or intelligence functions.
  • Experience with:
    • Azure Synapse
    • Azure Data Factory
    • Microsoft Fabric
    • Spark
    • Delta Lake
    • Power BI
  • Familiarity with machine learning infrastructure and deployment architectures.
  • Experience in highly regulated or security-sensitive environments.
  • Knowledge of privacy, compliance, and information security frameworks.

What Success Looks Like
  • Deliver scalable, secure, and governed data architecture supporting advanced forensic analytics.
  • Improve accessibility and quality of data across analytical and investigative teams.
  • Reduce time-to-insight for fraud detection and security investigations.
  • Enable machine learning and AI capabilities through modern data platform design.
  • Establish a sustainable foundation for future analytics, intelligence, and security initiatives.

Compensation at Pearson is influenced by a wide array of factors including but not limited to skill set, level of experience, and specific location. As required by the California, Colorado, Hawaii, Illinois, Maryland, Minnesota, New Jersey, New York State, New York City, Vermont, Washington State, and Washington DC laws, the pay range for this position is as follows:    

The minimum full-time salary range is between $135,000 - $165,000.  

This position is eligible to participate in an annual incentive program, and information on benefits offered is here.  

Applications will be accepted through 24th July. This window may be extended depending on business needs