Full-time jobs in Canada

Explore full-time jobs across Canada. Choose a location and read the full job details.

312,002 listings · 43,778 employers Counted Oct 28, 2026. How we count

About these jobs

Employers hiring include Walmart Canada (7,223 listings), Walmart (2,408 listings), Loblaw Companies Limited (2,369 listings).

Common roles: Cook, Project manager, Sales representative.

58,653 of these listings include employer-provided pay. Open a job to see its currency and pay period.

Advertised starting pay
Pay period	Median starting pay	Listings
CAD / hour	24.00	35,255
CAD / year	80,000.00	19,593
USD / year	96,710.00	1,382
USD / hour	20.00	581
CAD / month	5,027.00	531
CAD / week	1,445.00	49
CAD / day	360.00	34
GBP / year	40,000.00	13
USD / month	4,000.00	13
USD / week	1,817.65	12
EUR / year	65,000.00	11

Employer-listed minimums from at least 10 listings per currency and pay period. These are advertised starting amounts, not employee salaries. Jobs without a minimum and unusual amounts are excluded.

Workplace classifications: 2% remote, 16% hybrid, 82% on-site, 0% not specified. Hybrid and on-site classifications may be inferred from descriptions. Check the original ad.

Based on the dated count above. Listings can change. How we count

Full-time jobs in Canada

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Winnipeg, MB
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Winnipeg Regional Health Authority
Winnipeg, MB
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Stonewall, MB
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Winnipeg, MB
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RigUp

Senior Analytics Advisor

Calgary, AB, Canada

Full-time

Apply About employer

Applications open in a new tab.

Job details

Job type: Full-time
Apply by: Nov 26, 2026
Experience: Industry Experience: Minimum of 7 years of progressive experience within pipeline operations, midstream energy, or high-consequence operational analytics environments.
Posting language: English
Posted: Oct 27, 2026

Original job description

We are is seeking an accomplished Senior Advisor, Analytics to translate complex operational and financial data into strategic insights that directly influence pipeline performance, safety, regulatory compliance, and business unit financial outcomes. Serving as a senior technical authority, this individual will bridge pipeline operations, advanced analytics, and AI-enabled decision support. The role leverages modern enterprise platforms (notably Databricks and Azure Cloud), advanced programming in Python and SQL, and Copilot-based agent workflows to drive automated insight generation, predictive scenario modeling, and operational intelligence across major liquid pipeline networks in Canada and the United States.

Core Responsibilities

Lead Advanced Analytical Initiatives: Architect and execute complex data solutions using Python, SQL, and Databricks to transform operational, financial, and market data into decision-ready strategic intelligence.
Engineer Data Pipelines & Govern Assets: Collaborate with cross-functional engineering teams to implement robust data engineering practices on Azure Cloud, adhering to Unity Catalog governance standards and maintaining version control via Git/CI-CD pipelines.
Deploy AI & Machine Learning Solutions: Develop, operationalize, and maintain AI/ML models on Databricks, including the deployment of Copilot-based agents to automate recurring analyses, detect anomalies, explain core metrics, and scale scenario modeling.
Model Financial & Operational Impact: Conduct rigorous economic and sensitivity analyses - including revenue impacts and marginal cost evaluations - to inform capital allocation, throughput optimization, and capacity utilization.
Synthesize Operational Data: Ingest and analyze near-real-time industrial telemetry (e.g., AVEVA PI System, SCADA-derived data) to engineer leading KPIs, evaluate risk controls, and enhance asset reliability.
Drive Executive Advisory & Cross-Functional Alignment: Serve as a strategic liaison between technical teams and executive business units - such as Finance, System Performance, Strategy, and Investor Relations - translating complex algorithmic metrics into actionable executive briefings.
Provide Technical Leadership: Deliver technical mentorship, establish best-practice documentation for analytics and AI workflows, and elevate engineering standards across junior and intermediate personnel.

Required Qualifications

Education: Bachelor’s degree in Engineering, Data Analytics, Computer Science, Finance, Economics, or a related quantitative discipline.
Industry Experience: Minimum of 7 years of progressive experience within pipeline operations, midstream energy, or high-consequence operational analytics environments.
Data Engineering & Cloud Platforms: Demonstrated hands-on expertise building production data pipelines and analytical workflows on Microsoft Azure Cloud and Databricks.
Programming & Governance: Advanced proficiency in Python and SQL; working experience with Git version control and CI/CD pipelines; familiarity with enterprise data governance (Unity Catalog).
AI & Advanced Analytics: Practical experience operationalizing AI/ML workloads on Databricks and leveraging AI-assisted analytics or Copilot agents for metric automation and scenario forecasting.
Operational Systems & Tooling: Proven ability to query and analyze industrial time-series or SCADA-derived datasets (e.g., AVEVA PI System); proficiency in developing executive dashboards using Power BI and leveraging advanced Excel/VBA modeling where required.
Executive Communication: Exceptional ability to synthesize complex mathematical, financial, and operational dependencies into concise presentations and strategic recommendations for senior stakeholders.

Preferred Qualifications

Domain Knowledge: Deep subject matter expertise in liquid pipeline operational drivers, including throughput modeling, capacity utilization, power/drag optimization, and regulatory compliance metrics.
Professional Certifications: Industry-recognized credentials, such as Databricks Certified Data Engineer, Microsoft Certified: Azure Data Engineer Associate, or Certified Analytics Professional (CAP).

Apply About employer

More about this job

Responsibilities

Lead the development of advanced analytics, governed data pipelines, and AI/ML solutions to generate operational and financial insights for pipeline performance, safety, compliance, and business outcomes. Analyze industrial telemetry and financial impacts, advise executive stakeholders, and provide technical mentorship and best-practice guidance.

Requirements

Requires a bachelor’s degree in a quantitative or related discipline and at least seven years of progressive experience in pipeline operations, midstream energy, or high-consequence operational analytics. Candidates need hands-on Azure and Databricks experience, advanced Python and SQL skills, practical AI/ML deployment experience, and the ability to analyze industrial data and communicate recommendations to senior stakeholders.

Skills

Python
SQL
Databricks
Microsoft Azure
Data Engineering
AI And Machine Learning
Copilot Agents
Financial Modeling
Operational Analytics
Pipeline Operations
SCADA Data Analysis
AVEVA PI System
Power BI
Git And CI/CD
Data Governance
Executive Communication

Visa sponsorship

Not detected in the job text

Keywords

Databricks
Microsoft Azure
Python
SQL
Unity Catalog
Git
CI/CD
AI/ML
Copilot Agents
Data Pipelines
Data Governance
Financial Analysis
Sensitivity Analysis
Scenario Modeling
Pipeline Operations
Midstream Energy
Liquid Pipelines
Throughput Modeling
Capacity Utilization
Power And Drag Optimization
AVEVA PI System
SCADA
Industrial Telemetry
Power BI
Excel/VBA
Regulatory Compliance
Predictive Analytics
Databricks Certified Data Engineer
Azure Data Engineer Associate
Certified Analytics Professional

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