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Entry Level Computer Forensics Analyst Jobs in Seattle, WA

ROLE Entry-Level Quantitative Researchers are responsible for conducting rigorous quantitative ... Follow, digest and analyze the latest academic research * Manage all aspects of the research ...

Master's Degree in Statistics, Mathematics, Computer Science, Computer Security, or related field ... Familiar with Windows, Linux, and/or macOS forensic analysis * Technical/Investigation ...

Entry-Level (Staff) Dam Engineer

Seattle, WA ยท On-site

$62K - $86K/yr

... analytical skills, a passion to continue to develop as a professional, and a desire to be part of a ... CAD drawings for contract documents and reports with input and guidance from senior engineers in ...

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 ...

Showing results 41-60

Entry Level Computer Forensics Analyst information

See Seattle, WA salary details

$74K

$115.7K

$177.5K

How much do entry level computer forensics analyst jobs pay per year?

As of Sep 5, 2026, the average yearly pay for entry level computer forensics analyst in Seattle, WA is $115,705.00, according to ZipRecruiter salary data. Most workers in this role earn between $85,400.00 and $138,800.00 per year, depending on experience, location, and employer.

What does an entry level computer forensics analyst do?

An Entry Level Computer Forensics Analyst assists in investigating cybercrimes by identifying, collecting, and analyzing digital evidence from computers, mobile devices, and networks. Their work supports law enforcement or private sector investigations into incidents such as data breaches, hacking, or fraud. They use specialized software and follow strict protocols to preserve the integrity of the evidence for potential legal proceedings. Entry level analysts often work under the supervision of more experienced professionals while gaining hands-on experience.

What are the key skills and qualifications needed to thrive as an entry level computer forensics analyst, and why are they important?

To thrive as an Entry Level Computer Forensics Analyst, you need a foundational understanding of computer science, digital investigation methods, and a relevant degree or certification such as CompTIA Security+ or GIAC Certified Forensic Analyst (GCFA). Familiarity with forensic tools like EnCase, FTK, and knowledge of operating systems and file systems is typically required. Attention to detail, analytical thinking, and strong written communication skills help set candidates apart in this field. These competencies are vital for accurately collecting, analyzing, and reporting digital evidence to support investigations and ensure data integrity.

What are some common challenges faced by entry level computer forensics analysts during investigations?

Entry-level computer forensics analysts often encounter challenges such as handling large volumes of data, ensuring the integrity and chain of custody of digital evidence, and keeping up with rapidly evolving technologies and cyber threats. Additionally, they may need to navigate strict legal and procedural guidelines while working under time constraints. Collaborating effectively with law enforcement, legal teams, and more experienced colleagues is crucial for overcoming these obstacles and successfully supporting investigations.

What is the difference between Entry Level Computer Forensics Analyst vs Digital Forensics Technician?

AspectEntry Level Computer Forensics AnalystDigital Forensics Technician
CertificationsCertifications like GCFA, EnCE often preferredSimilar certifications, often the same or less advanced
Work EnvironmentInvestigations, law enforcement, cybersecurity firmsLaw enforcement agencies, private labs, corporate security
Job FocusAnalyzing digital evidence, reporting findingsCollecting, imaging, and processing digital evidence
Search IntentUnderstanding entry-level roles in digital forensicsEntry-level digital evidence collection roles

Both roles involve digital evidence handling, but the Entry Level Computer Forensics Analyst focuses more on analysis and reporting, while the Digital Forensics Technician emphasizes evidence collection and imaging. The roles often overlap in certifications and work environments, making them closely related entry points into digital forensics careers.

What are the most commonly searched types of Computer Forensics Analyst jobs in Seattle, WA?

The most popular types of Computer Forensics Analyst jobs in Seattle, WA are:

Infographic showing various Entry Level Computer Forensics Analyst job openings in Seattle, WA as of August 2026, with employment types broken down into 67% Full Time, and 33% Part Time. Highlights an 100% In-person job distribution, with an average salary of $115,705 per year, or $55.6 per hour.

Deals - DTDS - Analytics Intern - Summer 2027

PRICEWATERHOUSECOOPERS CORPORATE FINANCE LLC

Seattle, WA โ€ข On-site

$29.25 - $48/hr

Full-time

Posted 5 days ago


Job description

Industry/Sector

Not Applicable

Specialism

Deals

Management Level

Intern/Trainee

Job Description & Summary

The Opportunity
As a Deals - DTDS - Analytics Intern, you will immerse yourself in the dynamic world of data and analytics, contributing to client support initiatives within our Advisory practice. You will engage in data analysis tasks, leveraging your skills to support strategic decision-making and drive innovation. As an Intern, you will focus on learning and gaining exposure to PwC's methodologies, supporting teams with basic tasks, and participating in projects that enhance your understanding of data-driven insights. This role emphasizes the importance of adopting a learning mindset, appreciating diverse perspectives, and actively listening to enhance your development.
In this role at PwC, you will have the opportunity to work within our Advisory practice, where you will be involved in analyzing data to uncover patterns and trends that inform business strategies. You will be encouraged to ask questions, take initiative, and produce quality work that adds value for our clients. Your contributions will be integral to the team's success, and you will start to establish your personal brand, paving the way for future opportunities. This position offers a unique chance to develop your skills in data analysis and gain valuable experience in a professional environment.
Responsibilities
- Supporting teams in data analysis projects to gain exposure to PwC's practices and methodologies
- Participating in the development of data-driven insights to assist clients in achieving sustainable growth
- Conducting research and gathering information to enhance understanding of complex data sets
- Utilizing tools like Alteryx and Power BI to automate analytics processes and create visualizations
- Engaging in algorithm development to translate business problems into computational solutions
- Assisting in the creation of dashboards to represent key performance indicators and business metrics
- Applying data mining techniques to identify patterns and trends within large data sets
- Collaborating with team members to integrate data from various sources for unified analysis
- Observing and learning from experienced professionals to develop personal brand and commercial awareness
What You Must Have
- Currently pursuing or have completed a Bachelor's degree
- Client service intern positions are entry-level and job seekers are traditionally either in their 3rd year of a 4 year degree program or in the 4th year of a 5 year program. Client service interns typically join us during the winter/spring or summer prior to their intended graduation year
What Sets You Apart
- Preference for at least one of the following fields of study: Business Analytics, Computer Information System, Computer Programming, Data Processing/Analytics/Science, Industrial & System Engineering, Industrial and Operations Engineering, Industrial Engineering, Informatics, Information Science, Information System, Information Technology, Management Information Systems
- Preferred cumulative GPA: 3.3
- Preferred major GPA: 3.3
- Leveraging AI to create efficiencies, innovate ways of working and deliver distinctive outcomes
- Supporting teams with data-driven insights and analytics solutions
- Participating in cloud platform design and data architecture projects
- Observing and learning from experienced data analysts and AI specialists
- Applying a learning mindset to develop skills in data analysis and AI

Travel Requirements

Up to 80%

Job Posting End Date

September 26, 2026The salary range for this position is: $29.25 - $48.00. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws.As PwC is anequal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law.PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy.Learn more about how we work: https://pwc.to/how-we-workFor only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all.