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Entry Level Remote Computer Forensics Analyst Jobs in Colorado

Rule4

Cybersecurity Engineer

Boulder, CO · On-site +1

From forensic investigations to running workshops, we learn by doing. Sound like a lot of ... Analyze and improve infrastructure and application cybersecurity, performance, and availability

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Entry Level Remote Computer Forensics Analyst information

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

To thrive as an Entry Level Remote Computer Forensics Analyst, you need a solid understanding of computer systems, digital evidence handling, and investigative techniques, often supported by a degree in cybersecurity, computer science, or a related field. Familiarity with forensic tools such as EnCase, FTK, or Autopsy and relevant certifications like CompTIA Security+ or GIAC Certified Forensic Analyst (GCFA) are advantageous. Attention to detail, problem-solving abilities, and strong written communication skills help analysts excel in compiling and presenting evidence. These skills and qualifications are essential for ensuring the accurate, efficient, and legally sound investigation of digital incidents.

What are some typical challenges faced by entry-level remote computer forensics analysts, and how can they overcome them?

Entry-level remote computer forensics analysts often encounter challenges such as staying updated with rapidly evolving digital threats, managing large volumes of data, and ensuring secure handling of sensitive evidence from a distance. To overcome these, it’s important to participate in ongoing training, develop strong organizational skills, and use secure communication tools for collaboration with team members. Regular check-ins with senior analysts and involvement in knowledge-sharing sessions can also help new hires build confidence and expertise in handling complex investigations.

What is an Entry Level Remote Computer Forensics Analyst?

An Entry Level Remote Computer Forensics Analyst is a professional who begins their career in digital forensics, working remotely to investigate cybercrimes and analyze digital evidence. Their responsibilities typically include collecting, preserving, and examining data from computers, mobile devices, and networks to uncover evidence for legal cases or internal investigations. They use specialized tools to recover deleted files, trace cyberattacks, and ensure the integrity of digital information. Working remotely means they access systems and perform assessments from off-site locations, often collaborating with law enforcement or corporate security teams. These analysts are crucial in helping organizations respond to security incidents and prevent future breaches.

What is the difference between Entry Level Remote Computer Forensics Analyst vs Entry Level Remote Cybersecurity Analyst?

AspectEntry Level Remote Computer Forensics AnalystEntry Level Remote Cybersecurity Analyst
Required CertificationsCompTIA Security+, EnCE (optional)CompTIA Security+, Cisco CCNA Security
Work EnvironmentRemote, investigative labs, law enforcement collaborationRemote, security operations centers, corporate IT teams
Industry UsageLegal, law enforcement, private investigationCorporate, government, financial institutions
Common Search/ComparisonYesNo

Entry Level Remote Computer Forensics Analysts focus on investigating digital crimes and analyzing digital evidence, often working closely with law enforcement. In contrast, Entry Level Remote Cybersecurity Analysts primarily protect networks and systems from cyber threats. While both roles require security certifications and involve remote work, their core responsibilities and industry applications differ significantly.

What are popular job titles related to Entry Level Remote Computer Forensics Analyst jobs in Colorado? For Entry Level Remote Computer Forensics Analyst jobs in Colorado, the most frequently searched job titles are:
What job categories do people searching Entry Level Remote Computer Forensics Analyst jobs in Colorado look for? The top searched job categories for Entry Level Remote Computer Forensics Analyst jobs in Colorado are:
What cities in Colorado are hiring for Entry Level Remote Computer Forensics Analyst jobs? Cities in Colorado with the most Entry Level Remote Computer Forensics Analyst job openings:
Entry Level Remote Computer Forensics Analyst jobs near you

HR Data Analyst, Talent Analytics

LivaNova

Denver, CO • Remote

$90K - $106K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 8 days ago

Job description

As a global medtech company, we are driven by our Vision of changing the trajectory of lives for a new day and our Mission to create ingenious solutions that ignite patient turnarounds. Our relentless commitment to patients and strong legacy of innovation in healthcare are the foundation of our future. If you're looking for a new chance, a new beginning, a new trajectory, LivaNova is where your talent can truly thrive. Join our talented team members worldwide to become a pioneer of tomorrow-because at LivaNova, we don't just treat conditions - we aspire to alter the course of lives.

POSITION SUMMARY:

The HR Data Analyst, Talent Analytics will carry out overall strategy for employee data at LivaNova to support the need for data-driven decision-making regarding workforce productivity, engagement and better returns from recruitment and learning investments in the company.

KEY RESPONSIBILITIES:

  • Compile, structure, and analyze data from HRIS, payroll and Finance systems to develop insights and conclusions that help streamline HR processes throughout the company.

  • Work with the full data analysis pipeline including data cleaning, process documentation, and communicating results via report writing and visualization.

  • Participate actively in HR Business Intelligence including project intake, visualization tools, quality assurance, and storytelling. Interpret employee data to identify significant differences, relationships, and trends in data, as well as factors that could affect the results of research.

  • Identify statistical analysis techniques required to deliver insights.

  • Advance the use of complex analytical techniques and statistical thinking.

  • Design and implement data models using statistical principles (e.g., regression, correlation) and develop predictive models for attrition, performance, and recruiting demand.

  • Produce concise, story-driven presentations to communicate analytic insights.

  • Collect and share information on government labor statistics and external benchmarks.

  • Continually analyze competitor practices to make appropriate recommendations to upper management.

  • Partner with HR leaders to design research plans, develop hypotheses, collect data, and run various statistical models.

  • Help recruiters by providing relevant data, statistics, trends, and patterns to make the recruiting process more efficient. Similar for talent development, total rewards and employee experience (e.g. retention) practices.

  • Collaborate with subject matter experts across the HR service areas (e.g. Talent Development, Total Rewards and Talent Acquisition), as well as HR leadership, to promote data governance and stewardship, and to improve overall strategic and operational performance and insight.

  • Work with the HR business partner for organizational development (e.g. organization levels, structure, teams, span of control) and partner with colleagues and customers to achieve meaningful discussions regarding data outputs and feedback on usage activities to improve HR output.

  • Educate the HR team on analytical findings, general data and data management best practices.

  • Interact with professional and community groups related to analytics and business intelligence and maintain strong internal and external networks of peers to stay always ahead of the curve.

ESSENTIAL KNOWLEDGE & EXPERIENCE:

  • Master's degree in Data Science, Computer Science, Business Analytics or closely related field

  • 1 year of experience as a Human Resources Analyst or HR Data Analyst

  • The Master's degree program must have included courses in Data Mining, Data-Driven Quality Management, Analytical Decision Modeling and provided technical hands-on experience with statistics, data analytics, data visualization (QLIK, Tableau or ggplot2), business intelligence, reporting and software experience with R or Python, a range of data types of various structures and sizes, and an understanding of the differences and use cases for interpretable vs. black box models.

Pay Transparency:A reasonable estimate of the annual base salary for this position is $90,000 - $106,000 + discretionary annual bonus. Pay ranges may vary by location.

Employee benefits include:

Health benefits - Medical, Dental, Vision

Personal and Vacation Time

Retirement & Savings Plan (401K)

Employee Stock Purchase Plan

Training & Education Assistance

Bonus Referral Program

Service Awards

Employee Recognition Program

Flexible Work Schedules

#LI-Remote

Welcome to impact. Welcome to innovation. Welcome to your new life.

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