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Cybersecurity Financial Analyst Jobs in Alaska (NOW HIRING)

The ideal candidate combines strong analytical and data skills with a working knowledge of ... Ensure compliance with company policies, data privacy standards, cybersecurity requirements, and ...

Compliance Estimator - AI

Anchorage, AK · On-site

$107K - $159K/yr

Analyze data to ensure cost models are accurate and compliant. * Review and verify cost proposal ... Bachelor's degree in Business, Finance or a related field. * Education may be substituted for ...

... cybersecurity, application, and digital transformation initiatives. The Project Portfolio Manager ... Coordinate assignment of project managers, analysts, architects, and technical resources. * Monitor ...

Compliance Estimator - AI

Anchorage, AK · On-site

$107K - $159K/yr

Analyze data to ensure cost models are accurate and compliant. * Review and verify cost proposal ... Bachelor's degree in Business, Finance or a related field. * Education may be substituted for ...

Showing results 21-30

Cybersecurity Financial Analyst information

See Alaska salary details

$41.5K

$94.9K

$127.1K

How much do cybersecurity financial analyst jobs pay per year?

As of Sep 7, 2026, the average yearly pay for cybersecurity financial analyst in Alaska is $94,890.00, according to ZipRecruiter salary data. Most workers in this role earn between $75,400.00 and $119,000.00 per year, depending on experience, location, and employer.

What is a cybersecurity financial analyst?

A Cybersecurity Financial Analyst is a professional who combines expertise in finance with knowledge of cybersecurity risks and controls. They analyze the financial impact of cyber threats, assess budgets for cybersecurity initiatives, and help organizations make informed investment decisions to protect their digital assets. These analysts also monitor compliance with regulations, evaluate the cost-effectiveness of security measures, and provide reports to management on cybersecurity spending and risk exposure. Their role is crucial in ensuring that companies allocate resources efficiently to minimize financial losses from cyber incidents.

What are the key skills and qualifications needed to thrive as a cybersecurity financial analyst?

To thrive as a Cybersecurity Financial Analyst, you need strong analytical skills, knowledge of finance and accounting principles, and an understanding of cybersecurity risks, typically supported by a degree in finance, accounting, or information security. Familiarity with financial modeling software, cybersecurity frameworks (such as NIST or ISO 27001), and data analysis tools like Excel or Power BI is essential. Attention to detail, problem-solving, and effective communication are critical soft skills for translating complex cybersecurity threats into financial impact assessments. These skills are vital to accurately evaluating cyber risks, informing strategic decisions, and ensuring financial resilience in the face of evolving threats.

How does a cybersecurity financial analyst typically collaborate with IT and security teams to manage cybersecurity budgets?

A Cybersecurity Financial Analyst regularly works alongside IT and security teams to understand their technology needs and translate them into budget proposals. They help allocate resources for cybersecurity tools, training, and incident response, ensuring financial plans align with organizational risk priorities. Analysts facilitate communication between finance and technical staff, making sure investments are justified and expenditures are tracked. This collaborative approach supports both robust cybersecurity measures and effective financial stewardship.

What is the difference between Cybersecurity Financial Analyst vs Cybersecurity Analyst?

AspectCybersecurity Financial AnalystCybersecurity Analyst
Required CertificationsCertified Financial Analyst (CFA), CISSP, Security+CISSP, Security+, CEH
Work EnvironmentFinance departments, risk management teamsIT security teams, cybersecurity departments
Employer & Industry UsageFinancial institutions, corporationsTech firms, government agencies
Common Search & ComparisonFinancial risk, cybersecurity budgetingThreat detection, security protocols

The main difference is that a Cybersecurity Financial Analyst focuses on managing cybersecurity budgets, financial risk assessments, and investment in security tools within financial or corporate settings. In contrast, a Cybersecurity Analyst primarily handles threat detection, security monitoring, and incident response. Both roles require cybersecurity knowledge, but their core responsibilities and work environments differ significantly.

What are popular job titles related to Cybersecurity Financial Analyst jobs in Alaska?

For Cybersecurity Financial Analyst jobs in Alaska, the most frequently searched job titles are:

What job categories do people searching Cybersecurity Financial Analyst jobs in Alaska look for?

The top searched job categories for Cybersecurity Financial Analyst jobs in Alaska are:

What cities in Alaska are hiring for Cybersecurity Financial Analyst jobs?

Cities in Alaska with the most Cybersecurity Financial Analyst job openings:

AI Specialist - Alaska

matson

Anchorage, AK • On-site

Full-time

Re-posted 4 days ago


Key responsibilities

  • Develop a deep understanding of terminal operating processes and translate them into measurable KPIs.

  • Identify, extract, and prepare operational data, and map it into KPIs to track performance and improvements.

  • Support the organization in adopting AI tools through training, coaching, and process improvement initiatives.


Matson rating

8.1

Company rating: 8.1 out of 10

Based on 13 frontline employees who took The Breakroom Quiz


Job description

Description
Position at Matson Navigation Company of Alaska, LLC
About Us
Matson has been the leading ocean shipping and logistics provider throughout the Pacific since 1882. We are the supply chain lifeline for Hawaii, Alaska, Guam, and islands of the South Pacific. We also offer the top two ocean shipping services in the world's largest trade lane - Asia to the U.S. West Coast. With our subsidiaries Matson Terminals and Matson Logistics, our business focus is exceeding customer expectations with quality, reliability, and integrity.
We strive to operate in an environmentally sustainable manner and promote land-based environmental programs in Hawaii, Guam, and Alaska. We help improve the communities in which we work and live through our community giving program that annually supports hundreds of local organizations.
Matson is honored to be certified as a Great Place to Work. Our team of dedicated and talented employees consistently deliver exceptional results for our customers and the communities in which we serve.
Learn more at matson.com.
About the Role
The AI Specialist serves two complementary functions. First, and primarily, the role builds a deep understanding of terminal business processes, translates those processes into measurable KPIs that impact terminal operations, and sources and maps operational data into those KPIs to identify, prioritize, and measure AI opportunities. Second, the role drives organizational adoption of AI tools - in partnership with Matson's IT and AI Acceleration teams - through training, coaching, process improvement, and governance.
This person serves as the primary on-site resource for AI education and guidance, supports business units in identifying AI opportunities, and helps employees maximize productivity through effective and responsible use of AI technologies. This is a dynamic role that requires someone adaptable to change who can pivot quickly to new priorities.
The ideal candidate combines strong analytical and data skills with a working knowledge of operational processes, and pairs that with the training, communication, and change-management skills needed to build a culture of innovation through responsible AI use.
What you'll do:
1.Terminal Operations Analytics and KPI Development
  • Develop a deep working knowledge of terminal operating processes end-to-end, including vessel operations, yard planning, gate operations, equipment utilization and maintenance, and labor planning, sales, and finance.
  • Translate operational processes into clearly defined, measurable KPIs that impact terminal performance (e.g., crane productivity, truck turn time, gate throughput, yard utilization, cost per lift).
  • Identify, extract, and prepare data from operational source systems (terminal operating system, timekeeping, equipment/telematics, EDI) and unstructured sources (emails, documents, PDFs, reports).
  • Map operational data into KPIs and build repeatable reporting that establishes baselines and tracks improvement over time.
  • Partner with terminal leadership to validate KPI definitions, set targets, and use them to prioritize where AI is applied.
  • Measure and report on business impact, efficiency gains, cost savings, and ROI resulting from AI initiatives.

2. AI Strategy, Use Case Identification, and Process Improvement
  • Identify operational and business processes that can benefit from AI, automation, and digital transformation.
  • Collaborate with operational leaders to develop AI use cases that improve efficiency, quality, safety, and customer service.
  • Evaluate AI tools and platforms (e.g., Microsoft Copilot, ChatGPT, Claude, Power Platform AI capabilities).
  • Build or support AI-enabled workflows that streamline processes, automate repetitive tasks, and eliminate inefficiencies.
  • Assist operational teams in documenting best practices and standard work procedures using AI tools.
  • Recommend AI adoption strategies, best practices, and governance standards aligned with organizational goals.

3. Training, Enablement, and User Support
  • Design and deliver AI training programs, workshops, webinars, and hands-on learning sessions.
  • Provide one-on-one coaching and group support; help employees improve prompting skills and AI workflows.
  • Create AI playbooks, prompt libraries, job aids, quick-reference guides, SOPs, and role-specific use cases for different departments.
  • Act as the internal AI subject matter expert and first point of contact for AI-related questions and troubleshooting.

4. AI Governance and Responsible Use
  • Educate users on ethical AI practices, responsible usage, and appropriate handling of confidential and proprietary information within AI systems.
  • Ensure compliance with company policies, data privacy standards, cybersecurity requirements, and operational controls.
  • Support development and implementation of AI governance standards; monitor risks associated with AI use and recommend mitigation strategies.

5. Change Management and Adoption
  • Drive AI adoption initiatives across the organization and support leaders in managing the workforce transition to AI-enabled processes.
  • Address employee concerns and resistance; develop communication and engagement plans to increase awareness and participation.
  • Track AI utilization and adoption metrics and assess training effectiveness.
  • Gather user and stakeholder feedback, recommend enhancements to AI programs and training, and share success stories that demonstrate operational value.

You have these skills:
  • Business process analysis, with working knowledge of terminal, transportation, or supply-chain operations.
  • KPI design and performance measurement - defining metrics from business processes and sustaining the reporting behind them.
  • Data handling and analysis: SQL and Excel/Power BI (or equivalent), across structured and unstructured data.
  • Strong understanding of AI tools and generative AI technologies.
  • Presentation, facilitation, change management, and communication skills.
  • Data privacy and AI governance knowledge.
  • Problem-solving, stakeholder management, and continuous improvement methodologies.

And these qualifications:
  • Bachelor's degree, preferably in Computer Science, Data/Business Analytics, or a business-related field, or equivalent experience.
  • Three (3) to five (5) years of experience in operations, process improvement, data analysis, technology implementation, or operational excellence.
  • Demonstrated experience defining operational KPIs from raw business data and building the reporting to sustain them.
  • Hands-on experience extracting, organizing, and preparing structured and unstructured data (system extracts, emails, documents, PDFs) for analytics or AI-driven workflows.
  • Hands-on experience using AI tools in a professional environment; familiarity with generative AI tools such as ChatGPT, Copilot, Claude, or Gemini and how they apply to business operations.
  • Good understanding of business processes and operational workflows, with a track record of identifying opportunities for AI, automation, and process improvement.
  • Experience developing and delivering training programs.
  • Experience leading process improvement, operational efficiency, or change management initiatives.
  • Comfortable being a self-starter and adapting to ever-changing needs.
  • Works well with IT, Architecture, Security, and business stakeholders, with strong communication skills.

Extra credit if you have:
  • Experience in transportation, logistics, or marine terminal operations (strongly preferred).
  • Experience implementing enterprise AI solutions.
  • Experience working hands-on with business users to build solutions together through collaboration.

At Matson, we're looking for people to build a unified team to maintain our values of trust, integrity, and reliability. We welcome people who think rigorously and thoughtfully challenge assumptions.
#MI
Matson is an equal opportunity employer. Applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy), age, sexual orientation, national origin, marital status, parental status, ancestry, disability, AIDS/HIV status, gender identity, gender expression, veteran status, genetic information, or any other protected status. Qualified applicants with arrest and/or conviction records will be considered for employment in a manner consistent with federal and state laws, as well as applicable local ordinances, including, but not limited to, the San Francisco and Los Angeles Fair Chance Ordinances.View our applicant privacy statement: https://www.matson.com/media/Applicant_Privacy_Statement.pdf.

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