1

Senior Intelligence Analyst Jobs in Alberta (NOW HIRING)

Delivering DoiT Cloud Intelligence, the only solution that integrates advanced technology with ... The Opportunity We're building a technical content program to serve data engineers, analytics ...

... Analyze financial results, investigate variances, and provide recommendations to management ... Utilisation de l'intelligence artificielle (IA): Nous pouvons utiliser l'intelligence artificielle ...

The role The Senior Research Scientist is an office-based position located in Calgary, reporting to ... intelligence through novel and efficient applications of algorithms, analytics, and computing.

In office Calgary, AlbertaAbout BigGeoBigGeo is redefining geospatial intelligence with an AI-ready ... analyze technical performance of internal systems Leverage existing CI/CD pipelines and tooling for ...

At JLL, we harness the power of artificial intelligence (AI) to efficiently accelerate meaningful ... Using AI capabilities, we analyze your application for relevant skills, experiences, and ...

Who You Are The Sr. Financial Accountant is responsible for maintaining accurate financial records ... about artificial intelligence and how to improve processes. * Demonstrated ability to analyze ...

Showing results 41-60

Senior Intelligence Analyst information

See Alberta salary details

$45.5K

$102.5K

$155.5K

How much do senior intelligence analyst jobs pay per year?

As of Sep 7, 2026, the average yearly pay for senior intelligence analyst in Alberta is $102,500.00, according to ZipRecruiter salary data. Most workers in this role earn between $93,000.00 and $112,500.00 per year, depending on experience, location, and employer.

What does a senior intelligence analyst do?

A Senior Intelligence Analyst is responsible for gathering, evaluating, and interpreting data from various sources to provide actionable insights and recommendations to decision-makers. They analyze trends, assess threats, and produce detailed reports on security, geopolitical, or criminal activity, depending on their field. Senior Intelligence Analysts often lead teams, coordinate analytical projects, and ensure the accuracy and relevance of intelligence products. Their work supports organizations in making informed strategic, operational, or security decisions.

What are the key skills and qualifications needed to thrive as a senior intelligence analyst, and why are they important?

To thrive as a Senior Intelligence Analyst, you need strong analytical skills, experience in data interpretation, and often a degree in fields like international relations, political science, or criminal justice. Familiarity with intelligence analysis software, databases, and sometimes certifications like Certified Intelligence Analyst (CIA) are typically required. Excellent communication, critical thinking, and leadership abilities help you convey complex findings and guide junior analysts. These competencies are crucial for producing actionable intelligence that supports decision-making and national security objectives.

How does a senior intelligence analyst typically collaborate with other departments to support organizational objectives?

A Senior Intelligence Analyst works closely with various departments, such as operations, security, and executive leadership, to provide actionable insights and inform decision-making. This often involves participating in cross-functional meetings, sharing intelligence reports, and advising on potential risks or emerging threats. By fostering strong communication channels, analysts ensure that relevant information is disseminated efficiently, enabling teams to respond proactively to intelligence findings. This collaborative environment not only supports organizational goals but also enhances the overall security and strategic planning of the organization.

Does a senior intelligence analyst pay well?

Senior intelligence analysts typically earn higher salaries due to their experience and specialized skills in data analysis, threat assessment, and intelligence tools. Salaries can vary based on government or private sector employment, location, and security clearance requirements, but generally, the role offers competitive compensation within the intelligence community.

How much do senior intelligence analysts get paid?

Senior intelligence analysts typically earn a median annual salary between $70,000 and $110,000, depending on experience, location, and employer. They often require security clearances and proficiency with intelligence tools and data analysis software, which can influence compensation levels.

What are the most commonly searched types of Intelligence Analyst jobs in Alberta?

The most popular types of Intelligence Analyst jobs in Alberta are:

What are popular job titles related to Senior Intelligence Analyst jobs in Alberta?

For Senior Intelligence Analyst jobs in Alberta, the most frequently searched job titles are:

What job categories do people searching Senior Intelligence Analyst jobs in Alberta look for?

The top searched job categories for Senior Intelligence Analyst jobs in Alberta are:

Infographic showing various Senior Intelligence Analyst job openings in Alberta as of August 2026, with employment types broken down into 87% Full Time, 11% Part Time, and 2% Contract. Highlights an 84% Physical, 5% Hybrid, and 11% Remote job distribution, with an average salary of $102,500 per year, or $49.3 per hour.

Test Analyst - Senior (REMOTE) JP1007

P@thlion Staffing Careers

Edmonton, AB โ€ข Remote

Full-time

Posted 9 days ago


Key responsibilities

  • Develop, update, and execute test scenarios, test scripts, and test cases aligned with approved business requirements and acceptance criteria.

  • Perform User Acceptance Testing (UAT), functional testing, enhancement testing, regression testing, and end-to-end process testing to validate system functionality and business outcomes.

  • Identify, document, track, and validate defects, supporting evidence, and defect resolution activities.


Job description

Project Name:

Consumer Licensing Enquiry Online – Test Analyst

Scope:

Scope of Work – Testing Analyst (CLEO)

The Testing Analyst will provide testing, business readiness, training, and AI-enabled quality assurance services in support of the Consumer Licensing Enquiry Outreach (CLEO) initiative. The resource will support User Acceptance Testing (UAT), enhancement testing, defect management, training material development, deployment readiness, post-implementation stabilization activities, and the responsible use of Artificial Intelligence (AI) tools to improve testing, documentation, and knowledge transfer processes.

Services will be delivered in accordance with approved project requirements, ServiceNow stories, acceptance criteria, project schedules, Government of Alberta governance processes, and responsible AI principles. The resource will work collaboratively with Product Owners, Subject Matter Experts (SMEs), business stakeholders, and project team members to validate the CLEO solution, support business readiness activities, and ensure users are prepared for operational readiness.

The Testing Analyst will be responsible for developing and executing testing activities, validating business and technical requirements, supporting defect resolution, and creating training and readiness materials that enable successful user adoption. The resource will also identify opportunities to leverage approved AI-enabled tools to improve testing efficiency, documentation quality, training development, knowledge management, and readiness activities while maintaining appropriate human oversight and quality assurance. The resource will support the development and validation of training materials, user guides, job aids, FAQs, training scenarios, and knowledge transfer content, including AI-assisted content creation where appropriate. All AI-generated outputs must be reviewed and validated to ensure accuracy, completeness, accessibility, alignment to approved business processes, and compliance with Government of Alberta standards.

The Testing Analyst will contribute to continuous improvement initiatives by assessing opportunities to use AI-assisted tools to support test case development, test coverage analysis, defect investigation, reporting, documentation, and training preparation. Work is deliverable-based and aligned with approved CLEO testing, training, business readiness, knowledge transfer, and deployment readiness artifacts.

Services are performed within established Government of Alberta project management, testing, quality assurance, privacy, security, accessibility, and governance frameworks. The resource is responsible for planning, coordinating, and executing testing and readiness activities required to support successful CLEO implementation and user adoption. This includes supporting the responsible use of approved AI-enabled tools and ensuring all AI-assisted outputs are appropriately reviewed and validated before use.

The resource has no authority for project scope approval, budget approval, solution design decisions, procurement decisions, operational policy decisions, AI governance decisions, or production release sign-off. Engagement is time-bound to CLEO project delivery, testing cycles, training development, business readiness activities, deployment readiness, transition to operations, go-live support, and post-implementation stabilization.

The Testing Analyst is expected to promote continuous improvement and innovation by identifying opportunities to leverage approved AI capabilities to enhance testing effectiveness, training development, knowledge transfer, and operational readiness while ensuring compliance with Government of Alberta policies, governance requirements, privacy obligations, and responsible AI practices.

Duties:

  • Develop, update, and execute test scenarios, test scripts, and test cases aligned with approved business requirements, ServiceNow stories, and acceptance criteria, leveraging approved AI-assisted tools where appropriate to improve test coverage, traceability, and efficiency.
  • Perform User Acceptance Testing (UAT), including functional testing, enhancement testing, regression testing, end-to-end process testing, and retesting activities to validate system functionality and business outcomes.
  • Identify, document, track, and validate defects, including severity assessment, supporting evidence, root cause analysis support, and verification of defect resolution. Utilize AI-enabled tools, where appropriate, to support defect analysis, pattern identification, and documentation activities.
  • Maintain testing documentation, execution records, traceability information, and testing status reports using approved project tools and repositories, while leveraging AI-assisted productivity tools to improve documentation quality and consistency.
  • Support integration testing, data migration validation, and business process validation activities, including the use of AI-enabled tools, where appropriate, to assist in identifying data inconsistencies, process gaps, or testing opportunities.
  • Monitor testing progress and communicate testing risks, issues, dependencies, constraints, and blockers that may impact project timelines or deliverables, utilizing available reporting and analytical tools to support decision-making.
  • Participate in sprint-based and release-based testing activities, including test planning, test execution, defect triage, deployment validation, smoke testing, post-deployment verification, and continuous improvement of testing practices.
  • Develop, update, and maintain training materials and business readiness artifacts, including user guides, quick reference guides, job aids, training presentations, process documentation, knowledge articles, and frequently asked questions (FAQ) content. Leverage approved AI tools, where appropriate, to accelerate content development while ensuring accuracy and quality.
  • Collaborate with Product Owners, SMEs, and business stakeholders to ensure training materials accurately reflect approved business processes, system functionality, and user needs.
  • Support training readiness activities by preparing training scenarios, training datasets, demonstrations, user adoption materials, and AI-assisted learning content where appropriate.
  • Facilitate or support knowledge transfer sessions, user walkthroughs, demonstrations, and training sessions as required, including demonstrating effective use of approved AI-enabled capabilities associated with the solution.
  • Validate training materials, AI-generated content, and documented procedures against system functionality, business processes, and approved requirements to ensure accuracy, consistency, accessibility, and usability.
  • Provide support during go-live, business readiness assessments, operational transition activities, and post-implementation stabilization periods, including assisting users with adoption of new business processes, digital capabilities, and approved AI-enabled tools.
  • Identify opportunities to improve testing, training, documentation, and business readiness activities through the responsible use of Artificial Intelligence (AI) and Generative AI tools, while ensuring compliance with project governance, privacy, security, accessibility, and quality standards.
  • Assess and validate AI-generated outputs used within testing and training activities to ensure content accuracy, relevance, completeness, and alignment with approved business requirements and Government of Alberta standards.