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Apprentice Computer Forensics Analyst Jobs in Minneapolis, MN

JLL

Mechatronics and Robotics Apprentice

Woodbury, MN · On-site

Works capably with a computer both in school and on the shop floor.Learnsto perform work with ... Understands and analyses the technical specifications of mechatronic systems, subsystems, modules ...

JLL

Mechatronics and Robotics Apprentice

Shakopee, MN · On-site

Works capably with a computer both in school and on the shop floor.Learnsto perform work with ... Understands and analyses the technical specifications of mechatronic systems, subsystems, modules ...

Pearson

Lead Specialist, Data Scientist

Bloomington, MN · On-site

$165K - $205K/yr

... 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 ...

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All JobsApprentice Computer Forensics Analyst JobsApprentice Computer Forensics Analyst Jobs in Minneapolis, MN

Apprentice Computer Forensics Analyst information

See Minneapolis, MN salary details

$29.7K

$82.2K

$127.3K

How much do apprentice computer forensics analyst jobs pay per year?

As of Jul 27, 2026, the average yearly pay for apprentice computer forensics analyst in Minneapolis, MN is $82,211.00, according to ZipRecruiter salary data. Most workers in this role earn between $57,900.00 and $103,900.00 per year, depending on experience, location, and employer.

Are there apprenticeships for forensics?

Yes, apprenticeships for computer forensics analysts are available and often provide hands-on training in digital investigation techniques, forensic tools, and cybersecurity fundamentals. These programs can lead to entry-level positions and may require relevant certifications or prior education in information technology or cybersecurity.

What kinds of cases or investigations might an Apprentice Computer Forensics Analyst typically work on, and how does this impact their daily responsibilities?

As an Apprentice Computer Forensics Analyst, you will often assist with investigations involving cybercrimes, data breaches, fraud, or internal policy violations. Your daily tasks may include collecting and preserving digital evidence, analyzing hard drives and mobile devices, and preparing detailed reports for senior analysts or law enforcement. You’ll also collaborate closely with IT security teams, legal professionals, and sometimes law enforcement officers. This variety ensures hands-on experience with real-world cases, helping you build a strong foundation in digital evidence handling and investigative processes.

What does an Apprentice Computer Forensics Analyst do?

An Apprentice Computer Forensics Analyst assists in investigating cybercrimes by collecting, preserving, and analyzing digital evidence from computers, mobile devices, and networks. They work under the supervision of experienced analysts to recover deleted files, trace unauthorized activity, and document findings for use in legal cases. This role often involves learning specialized software tools and following strict procedures to ensure evidence integrity. Apprentices gain practical experience while developing the technical and analytical skills needed for a career in digital forensics.

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

To thrive as an Apprentice Computer Forensics Analyst, you need a foundational understanding of computer systems, cybersecurity principles, and investigative techniques, usually supported by relevant coursework or an associate degree in information technology or a related field. Familiarity with forensic tools such as EnCase, FTK, or Autopsy, and knowledge of chain-of-custody procedures, are essential, and certifications like CompTIA Security+ or EC-Council's CHFI can be beneficial. Attention to detail, analytical thinking, and strong written communication help you excel when analyzing digital evidence and preparing reports. These skills and qualifications are crucial for accurately uncovering, preserving, and presenting digital evidence in investigations and legal proceedings.

What is the difference between Apprentice Computer Forensics Analyst vs Computer Forensics Analyst?

AspectApprentice Computer Forensics AnalystComputer Forensics Analyst
CertificationsEntry-level certifications (e.g., CompTIA Security+)Advanced certifications (e.g., GCFA, EnCE)
Work ExperienceLimited or no professional experienceSeveral years of experience in digital forensics
Work EnvironmentSupervised training, assisting investigationsIndependent analysis, leading investigations
Job ResponsibilitiesLearning tools, basic data recoveryAnalyzing digital evidence, preparing reports

The main difference is that an Apprentice Computer Forensics Analyst is in training with limited experience and responsibilities, while a Computer Forensics Analyst has more experience, certifications, and independence in handling investigations.

How much do computer forensics analysts make?

Computer forensics analysts typically earn a median annual salary of around $70,000 to $90,000, depending on experience, certifications, and location. Entry-level positions may start lower, while experienced analysts with specialized skills or certifications can earn over $100,000 annually.

How to become a forensic computer analyst?

To become a forensic computer analyst, individuals typically need a bachelor's degree in computer science, cybersecurity, or a related field. Gaining experience with digital forensics tools, such as EnCase or FTK, and obtaining certifications like the Certified Computer Forensics Examiner (CCFE) or GIAC Certified Forensic Analyst (GCFA) can improve job prospects. Strong analytical skills, attention to detail, and knowledge of legal procedures are essential in this role.

Will AI take over digital forensics?

As an Apprentice Computer Forensics Analyst, understanding AI's role is important; AI tools can assist in analyzing large data sets and identifying patterns more quickly than manual methods. However, human expertise remains essential for interpreting complex cases, making judgments, and ensuring legal compliance. AI is a complement to, not a replacement for, skilled forensic analysts in digital investigations.
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:
Apprentice Computer Forensics Analyst jobs near you
Infographic showing various Apprentice Computer Forensics Analyst job openings in Minneapolis, MN as of July 2026, with employment types broken down into 1% Locum Tenens, 1% Internship, 88% Full Time, 5% Part Time, 1% Temporary, and 4% Contract. Highlights an 82% Physical, 5% Hybrid, and 13% Remote job distribution, with an average salary of $82,211 per year, or $39.5 per hour.
Advanced Specialist, Data Engineering

Advanced Specialist, Data Engineering

Pearson

Bloomington, MN • Remote

$135K - $165K/yr

Full-time

Posted 5 days ago

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

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