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Analytics Engineer Jobs in Quebec (NOW HIRING)

ILS Engineer Job Location: Montreal, QC or Ottawa, ON Job Code: 37831 Job Schedule: Day Shift ... Produce Logistics Support Analyses (LSA); sparing, initial provisioning, end of life extension ...

Realiser des analyses de compromis et recommander les meilleures solutions techniques * Definir les ... Systems Engineer Location: Quebec City, QC (Hybrid) Position Type: Permanent, Full-Time About EXFO ...

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* Act as a systems engineer and carry out pneumatics discipline activities. * Assure integration and ... Document analysis, ground, and flight test results. * Prepare technical reports to show compliance ...

Model and analyze mechanical components and assemblies, selecting materials, mechanical tolerances ... Prepare technical memos and engineering justification reports grounded in analytical methods and ...

* Act as a systems engineer and carry out pneumatics discipline activities. * Assure integration and ... Document analysis, ground, and flight test results. * Prepare technical reports to show compliance ...

Partner with application, data and analytics teams to onboard workloads onto shared platform ... Work with senior engineers to improve platform standards, reusable patterns, and self-service ...

CA$30/hr

Build predictive analytics solutions. * Deploy ML models into production. * Optimize model performance and monitoring. * Collaborate with data scientists and engineers. * Support AI-driven ...

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Showing results 1-20

Analytics Engineer information

See Quebec salary details

$62.5K

$109.1K

$178K

How much do analytics engineer jobs pay per year?

As of Jun 21, 2026, the average yearly pay for analytics engineer in Quebec is $109,135.00, according to ZipRecruiter salary data. Most workers in this role earn between $81,500.00 and $122,500.00 per year, depending on experience, location, and employer.

What do analytics engineers do?

Analytics engineers design, build, and maintain data pipelines and infrastructure to enable data analysis and reporting. They work with tools like SQL, Python, and data warehouses to ensure data is accurate, accessible, and well-structured for business insights.

What engineers make $500,000?

Senior-level engineers in specialized fields such as software engineering, data engineering, or machine learning engineering can earn $500,000 or more annually, especially with experience, advanced skills, and in high-demand industries. Compensation often includes base salary, bonuses, and stock options, particularly at large tech companies or startups with significant growth potential.

What are the key skills and qualifications needed to thrive as an Analytics Engineer, and why are they important?

To thrive as an Analytics Engineer, you need a strong foundation in data modeling, SQL, and analytics engineering principles, often supported by a degree in computer science, data science, or a related field. Proficiency with data transformation tools such as dbt, cloud data warehouses like Snowflake or BigQuery, and version control systems like Git is essential. Strong problem-solving skills, communication, and collaboration abilities help translate business needs into scalable data solutions and foster teamwork. These skills and qualities are crucial for ensuring data quality, building reliable analytics infrastructure, and enabling data-driven decision-making across organizations.

What is the difference between Analytics Engineer vs Data Engineer?

AspectAnalytics EngineerData Engineer
CredentialsOften requires SQL, Python, data modeling certificationsRequires similar skills, often with additional focus on infrastructure and systems
Work EnvironmentFocuses on data analysis, visualization, and reportingBuilds data pipelines, manages data infrastructure
Industry UsageCommon in analytics teams, BI, and data-driven rolesPrevalent in data engineering, data platform teams

While both roles work closely with data, Analytics Engineers primarily focus on transforming data for analysis and visualization, whereas Data Engineers build the infrastructure and pipelines that enable data access. Understanding these differences helps in choosing the right career path or job role.

What is the average salary of an analytics engineer?

The average salary of an analytics engineer typically ranges from $80,000 to $130,000 annually, depending on experience, location, and industry. Professionals with skills in SQL, Python, and data visualization tools tend to earn higher salaries, especially in larger organizations or tech hubs.

How does an Analytics Engineer typically collaborate with data scientists and business stakeholders on projects?

Analytics Engineers play a critical bridge role between data engineering and data analysis. They work closely with data scientists to transform raw data into clean, reliable datasets that are ready for advanced analytics or modeling. At the same time, they collaborate with business stakeholders to understand reporting needs, ensuring that data models align with business goals. Regular communication and iterative feedback are key, as Analytics Engineers often gather requirements, build data pipelines, and adjust data products based on stakeholder input.

What is big data salary?

The salary for an Analytics Engineer working with big data typically ranges from $80,000 to $130,000 annually, depending on experience, location, and industry. Professionals skilled in tools like Hadoop, Spark, and SQL tend to earn higher salaries, especially with certifications and advanced technical expertise.

What is an Analytics Engineer?

An Analytics Engineer is a professional who bridges the gap between data engineering and data analysis. They are responsible for designing, building, and maintaining data models, pipelines, and analytics tools that enable organizations to make data-driven decisions. Analytics Engineers often work closely with data analysts and business stakeholders to ensure clean, reliable, and well-structured data is available for reporting and analysis. Their work typically involves using SQL, data transformation tools like dbt, and cloud data warehouses to create scalable and efficient data solutions.
What job categories do people searching Analytics Engineer jobs in Quebec look for? The top searched job categories for Analytics Engineer jobs in Quebec are:

Cyber Security Engineer / SOC Analyst (Palo Alto, Splunk & SIEM)

NavitasPartners

Montreal, QC • Hybrid

CA$70/hr

Full-time

Posted 8 days ago


Job description

Job Title: Cyber Security Engineer / SOC Analyst (Palo Alto, Splunk & SIEM)

Location: Remote (Up to 25% travel to client sites as needed)


Job Summary

We seeking a highly motivated Cyber Security Engineer / SOC Analyst with strong hands-on expertise in Palo Alto firewalls, Splunk, and SIEM platforms. This role is responsible for monitoring, detecting, analyzing, and responding to security threats while ensuring the overall protection and resilience of enterprise systems and networks.


Key Responsibilities
  • Monitor, analyze, and respond to security alerts using SIEM tools (preferably Splunk)
  • Configure, manage, and troubleshoot Palo Alto Networks (PAN-OS) firewalls
  • Perform log ingestion, analysis, and correlation using Splunk
  • Develop and maintain SIEM use cases, correlation rules, dashboards, and alerts
  • Investigate security incidents and perform root cause analysis
  • Collaborate with cross-functional teams to remediate vulnerabilities and security issues
  • Conduct proactive threat hunting and continuous security monitoring
  • Maintain accurate documentation for incidents, procedures, and compliance requirements
  • Support audits and ensure adherence to organizational security policies and standards

Required Skills & Experience
  • 3–8 years of experience in Cyber Security, SOC, or SIEM environments
  • Strong hands-on experience with:
    • Palo Alto Networks Firewalls (policy management, NAT, VPNs)
    • Splunk (log ingestion, SPL queries, dashboards)
    • SIEM platforms (e.g., Splunk, QRadar, ArcSight)
  • Solid understanding of:
    • Network protocols (TCP/IP, DNS, HTTP, SSL)
    • Security frameworks (NIST, ISO 27001, MITRE ATT&CK)
  • Experience with incident response and threat intelligence
  • Familiarity with endpoint security tools and IDS/IPS technologies

Preferred Qualifications
  • Relevant certifications such as:
    • PCNSE (Palo Alto Certified Network Security Engineer)
    • Splunk Certified Power User or Administrator
    • CEH, CISSP, or Security+
  • Experience with SOAR tools (e.g., Cortex XSOAR, Splunk Phantom)
  • Exposure to cloud security (AWS or Azure environments)
  • Basic scripting knowledge (Python, PowerShell)

Nice to Have
  • Experience with Palo Alto Networks Prisma SASE solutions
  • Understanding of SASE architecture for hybrid workforce environments
  • Exposure to Prisma Access, Prisma SD-WAN, and ADEM
  • SASE-related certifications or hands-on experience