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Jobs in Canada

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Added 12 mins ago
Project Engineering Director
Worley
Markham, ON
Full-time
This senior leadership role reports to the Project Director and is accountable for multidisciplinary engineering delivery for a large-scale, multi-unit nuclear generation expansion. The…
Added 27 mins ago
Junior Hydrogeologist
WSP in Canada
Cambridge, ON
Full-time
Grow your expertise through senior mentorship, technical development opportunities, and exposure to projects that create lasting impact for communities and the environment.
Added 27 mins ago
Junior Hydrogeologist
WSP in Canada
Mississauga, ON
Full-time
Grow your expertise through senior mentorship, technical development opportunities, and exposure to projects that create lasting impact for communities and the environment.
Added 27 mins ago
Junior Hydrogeologist
WSP in Canada
St. Catharines, ON
Full-time
Grow your expertise through senior mentorship, technical development opportunities, and exposure to projects that create lasting impact for communities and the environment.
Added 27 mins ago
Environmental Services Manager , Senior Living
Compass Group Canada
Leamington, ON
Full-time
Recruit, hire, performance manage and discipline all housekeeping and laundry staff.
Added 28 mins ago
C1R EPC Retube Project Director
AtkinsRéalis
Mississauga, ON
Full-time
…with Labour Relations as required to effectively resolve work performance issues within the…
Added 28 mins ago
Mining Engineer – Senior Level (Hybrid/Remote)
Barr
Saskatoon, SK · Calgary, AB
$130,000 to $148,000 CAD / year
Full-time
Barr is seeking a senior mining engineer to join our engineering and design team. In this hybrid role, you will lead and support multidisciplinary teams preparing and delivering scoping…
Added 57 mins ago
Senior Engineer Supervisor, Projects
Glencore
Elkford, BC
$140,000 to $165,000 CAD / year
Full-time
…committed to responsible resource development, environmental performance and building strong partnerships with communities and Indigenous…
Added 1 hour ago
SDET with Java
PEOPLE FORCE CONSULTING INC
Quebec, QC
Contract
We are seeking a Senior SDET (Software Development Engineer in Test) with strong expertise in Java, Spring Boot, and modern test automation practices to support a large-scale QA…
Added 1 hour ago
Superintendent, Underground Mine Engineering
Kinross Gold Corporation
Red Lake, ON
Full-time
The Underground Mine Engineer will provide day-to-day technical and operational engineering support to the Advanced Exploration underground program at the Great Bear Project.
Added 1 hour ago
Senior Software Engineer, iOS
Tubi
Toronto, ON
Full-time
As a Senior iOS Engineer at Tubi, you’ll play a critical role on our mobile engineering team, focusing on developing, improving, and maintaining our iOS, tvOS, and visionOS applications.…
Added 1 hour ago
Senior Machine Learning Engineer
Takeaway
Edmonton, AB
Full-time
As a Senior ML Engineer you will take a leadership role in shaping the strategic direction of our machine learning infrastructure, proactively identifying opportunities for innovation and…
Added 1 hour ago
Senior Human Factors Engineer / Ergonomics Specialist
LGM North America
Toronto, ON
Full-time
To support our strong growth, we are looking for an experienced Senior Human Factors Engineer / Ergonomics Specialist to support the design, assessment, and validation of complex…
Added 1 hour ago
Ingénieur régional en colo électrique Sénior (Elec Colo Regional Engineer), Colocation Region Engineering- AMER
Amazon Web Services (AWS)
Pointe-Claire, QC
Full-time
Are you an engineer with a passion for data center design and looking for a challenge to chart your own course? If so, we are looking for you to help us make history.
Added 1 hour ago
Ingénieur régional en colo électrique Sénior (Elec Colo Regional Engineer), Colocation Region Engineering- AMER
Amazon Web Services (AWS)
Pointe-Claire, QC
Full-time
Are you an engineer with a passion for data center design and looking for a challenge to chart your own course? If so, we are looking for you to help us make history.
Added 2 hours ago
Senior Civil Engineer - Water
Stantec
Victoria, BC
Full-time
The role of the Senior Civil Engineer is to work on complex and exciting projects both independently and as a team member. In this position you could work as a technical engineer, project…
Added 2 hours ago
Operations Engineer
Saltworks Technologies: Industrial Water + Lithium
SK · Saskatchewan, Canada
Full-time
Join Saltworks as an Operations Engineer and take on an exciting, on-site, hands-on role supporting the launch of a first-of-its-kind lithium demonstration plant located near Stoughton,…
Added 3 hours ago
Senior Engineer Supervisor, Projects
Elk Valley Resources
Elkford, BC
$140,000 to $165,000 CAD / year
…committed to responsible resource development, environmental performance and building strong partnerships with communities and Indigenous…
Added 3 hours ago
Senior AI Engineer
Workday
Vancouver, BC · Canada, BC, Vancouver
Full-time
As a Senior AI Engineer in Agent Factory, you will drive the end-to-end system design, implementation, and product integration for a core domain of Workday’s next generation of intelligent…
Added 3 hours ago
Senior Engineer Supervisor, Projects
Elk Valley Resources
Elkford, BC
$140,000 to $165,000 CAD / year
Full-time
…committed to responsible resource development, environmental performance and building strong partnerships with communities and Indigenous…
Added 3 hours ago
Software Engineer in Test
Galactic Minds INC
Vancouver, BC
Full-time
Added 3 hours ago
Senior Mission & Operations Satellite Systems Engineer | Remote Opportunity | Fastwater Staaffing
HIKINEX
Remote, Canada
Full-time · Remote
Senior Mission & Operations Satellite Systems Engineer – Hybrid/Remote Opportunity
Added 3 hours ago
Senior Flight-Operations Satellite Systems Engineer | Remote Opportunity | Fastwater Staffing
HIKINEX
Remote, Canada
Full-time · Remote
We are seeking a Senior Flight-Operations Satellite Systems Engineer to lead the design, integration, and optimization of advanced satellite operations for LEO and MEO missions. In this…
Added 3 hours ago
Staff Systems Engineer – Synthetic Aperture Radar (SAR) Missions | Remote Opportunity | Fastwater Staffing
HIKINEX
Remote, Canada
Full-time · Remote
We are seeking a Staff Systems Engineer – Synthetic Aperture Radar (SAR) Missions to provide end-to-end technical oversight of SAR-related engineering activities throughout the lifecycle of…
Added 3 hours ago
Guidance, Navigation & Control (GNC) Systems Engineer | Remote Opportunity | Fastwater Staffing
HIKINEX
Remote, Canada
Full-time · Remote
We are seeking a senior Guidance, Navigation & Control (GNC) Systems Engineer to support the design, integration, verification, and operational support of GNC subsystems for current and…

Dayforce

Data Analyst, Principal

Canada

Apply by: Nov 27, 2026
Posting language: English
Posted: Oct 1, 2026

Apply About employer

Applications open in a new tab.

Original job description

Dayforce is a global human capital management (HCM) company headquartered in Toronto, Ontario, and Minneapolis, Minnesota, with operations across North America, Europe, Middle East, Africa (EMEA), and the Asia Pacific Japan (APJ) region.

Our award-winning Cloud HCM platform offers a unified solution database and continuous calculation engine, driving efficiency, productivity and compliance for the global workforce.

Our brand promise - Makes Work Life Better™ - Reflects our commitment to employees, customers, partners and communities globally.

About the opportunity

As a Principal Data Analyst, you are a highly analytical, technically strong, forward-thinking problem solver who thrives on turning data into strategic insight and building modern decision products. You will play a pivotal role within the Decision Intelligence team, combining deep analytical expertise with hands-on technical skills to solve complex business problems using enterprise data, business intelligence, artificial intelligence (AI), and automation.

This is a hands-on technical role with significant visibility across the organization. You will work directly with senior leaders and cross-functional stakeholders while personally designing and building analytical solutions - ranging from enterprise semantic models and Power BI experiences to AI-powered applications and agents. Your work will directly influence strategic decisions and help evolve how the enterprise consumes data, insights, and AI.

What you'll get to do

Promote Data-Driven Decision-Making: Translate ambiguous business questions into analytical solutions that go beyond stated needs - proactively surfacing insights, root causes, opportunities, and recommended actions that guide executive strategy and operational excellence.
Build Modern Decision Products: Personally design and build analytical products ranging from scalable semantic models and advanced Power BI experiences to AI-powered analytical applications and agents. Select the appropriate interface and technology based on the business problem rather than defaulting to traditional dashboards.
Build AI-Powered Analytical Solutions: Design, prototype, build, and help productionize AI-enabled analytical applications and agents that combine enterprise data, semantic context, large language models (LLMs), APIs, and tools to answer business questions, generate insights, and automate analytical workflows.
Collaborate Across the Business: Partner with leaders in designated departments and other domains to define key metrics, interpret performance results, understand business context, and connect analytics and AI solutions to financial, operational, customer, and growth objectives.
Engineer Trusted Analytical Foundations: Build and maintain reliable data models, metric definitions, semantic models, and analytical logic. Troubleshoot data gaps and partner with data engineering and governance teams to strengthen data quality, lineage, consistency, and trust.
Apply Practical AI and Automation: Identify high-value opportunities for AI and automation, then move beyond ideation to working solutions. Apply techniques such as tool/function calling, structured outputs, retrieval and grounding, context engineering, and agentic workflows where they provide measurable business value.
Evaluate for Accuracy and Reliability: Develop practical approaches to test and monitor AI-enabled analytical solutions, including grounding, hallucination and accuracy testing, regression testing, observability, and human review. Understand when deterministic analytics, traditional machine learning, or an LLM-based approach is most appropriate.
Communicate with Confidence: Synthesize complex analyses and technical solutions into clear, compelling narratives and present actionable insights, tradeoffs, and recommendations to senior leadership.

Skills and experience we value

Bachelor's degree in Statistics, Mathematics, Data Science, Computer Science, Economics, Business Analytics, or a related analytical field; Master's degree preferred.
10+ years of progressive experience in data analytics, business intelligence, analytical engineering, data science, decision science, or related technical roles, preferably in an enterprise SaaS, technology, consulting, or complex business environment.
Strong SQL, data modeling, and analytical engineering skills, with hands-on experience building enterprise analytics solutions using platforms such as Power BI. Candidates should be comfortable working directly in Power BI when needed, including semantic models, DAX, performance optimization, advanced dashboards, and executive-facing analytical products.
Strong hands-on Python skills and comfort working with APIs, Git, JSON, testing and debugging, notebooks, and modern development workflows used to build analytical and AI-enabled solutions.
Demonstrated hands-on experience building AI/LLM applications beyond the use of AI productivity tools or commercial chat applications. Experience should include several of the following: agentic workflows, tool/function calling, structured outputs, retrieval/RAG, context engineering, prompt design, API integration, and evaluation frameworks.
Demonstrated track record of personally designing and building AI-enabled analytical products or agentic systems from prototype toward production. Candidates should be prepared to discuss architecture, implementation decisions, evaluation methods, failures, tradeoffs, and lessons learned from systems they personally built.
Strong understanding of semantic modeling, metric design, KPI frameworks, business definitions, data quality, lineage, and governance practices needed to provide trusted context to both enterprise reporting and AI-enabled analytical experiences.
Demonstrated ability to translate ambiguous business questions into structured analytical and technical approaches, identify root causes, quantify business impact, and determine when a problem is best solved with SQL or deterministic software, traditional analytics or machine learning, a BI experience, or an LLM/agentic solution.
Experience evaluating AI systems for accuracy, grounding, reliability, and business usefulness, including approaches such as test datasets, hallucination testing, regression testing, observability, human review, and appropriate controls for enterprise use.
Proven experience leading complex analytical or AI initiatives from concept through implementation with minimal oversight, including requirements definition, stakeholder alignment, hands-on development, testing, delivery, adoption, and ongoing optimization.
Experience partnering with senior leaders and cross-functional stakeholders to define success metrics, interpret performance trends, and connect analytical and AI solutions to financial, operational, customer, and growth outcomes.
Exceptional communication, analytical reasoning, and business acumen, with the ability to synthesize complex data and technical concepts into clear narratives, evaluate tradeoffs, prioritize work based on business value, and influence decisions at senior levels.
High degree of intellectual curiosity, ownership, technical judgment, and attention to detail. We value demonstrated building experience over theoretical familiarity; candidates should be prepared to discuss systems they personally designed and implemented. Experience working in the Human Capital Management industry is preferred.

What’s in it for you

Dayforce is fueled by the diversity of our talented employees. We are an equal opportunity employer and consider and embrace ALL individuals and what makes them unique. We believe our employees should be happy and healthy, with peace of mind and a sense of fulfillment.

We encourage individuals to apply based on their passions.

Dayforce encourages personal and professional growth. We offer excellent time away from work programs, comprehensive wellness initiatives and recognition through competitive pay and benefits.

With a commitment to community impact, including volunteer days and our charity, Dayforce Cares we provide opportunities for you to thrive both in your career and personal life. Our focus is not just on your job but on supporting you to be the best version of yourself.

This job posting is for an existing vacancy

Artificial intelligence may be used in the screening, assessment, or selection of applicants for this position.

About the Salary Ranges

Please note that the salary range mentioned in this job description should serve simply as a guide. The final compensation offered may vary based on a variety of factors, including bonuses and/or incentives, or a candidate’s experience, skills, budget and location. Our company is committed to providing a fair, equitable, and competitive package that reflects the value an individual brings to the organization.

Proficiency in English is required for this position as this role will regularly interact with English-speaking stakeholders, co-workers, managers and/or clients across the world. Further, our back office support teams, including but not limited to Human Resources, are primarily English speaking. Employees need to be able to communicate with these departments in English to appropriately administer their business relationship. Due to the significant high volume of interactions with these English-speaking co-workers, managers, stakeholders and/or clients, which is inherent to this position, it is not possible to reorganize the company's activities to avoid this requirement.

Fraudulent Recruiting

Beware of fraudulent recruiting. Legitimate Dayforce contacts will use an @dayforce.com email address. We do not request money, checks, equipment orders, or sensitive personal data during the recruitment process. If you have been asked for any of the above, or believe you have been contacted by someone posing as a Dayforce employee, please refer to our fraudulent recruiting statement found here: https://www.dayforce.com/be-aware-of-recruiting-fraud

Dayforce actively monitors all job applications to ensure authenticity. Submissions determined to be fraudulent or misleading will be declined from the recruitment process

Pour consulter cette offre d'emploi en français, veuillez utiliser le lien: https://jobs.dayforcehcm.com/fr-CA/mydayforce/alljobs

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More about this job

Responsibilities

You will design and build modern decision products, including AI-powered applications and semantic models, to drive strategic business insights. You will also collaborate with cross-functional stakeholders to define key metrics and ensure data quality and governance across the enterprise.

Requirements

Candidates must have 10+ years of experience in data analytics or related technical roles with strong proficiency in SQL, Python, and Power BI. A bachelor's degree in an analytical field is required, with a preference for a master's degree and experience in AI/LLM application development.

Skills

Data analysis
SQL
Power BI
Python
Data modeling
Artificial intelligence
Machine learning
LLM
Semantic modeling
DAX
API integration
Prompt design
Retrieval-augmented generation
Business intelligence
Analytical engineering
Strategic insight

Benefits

Time away from work programs
Comprehensive wellness initiatives
Competitive pay
Charity programs

Visa sponsorship

Not detected in the job text

Keywords

Data Analyst
Decision Intelligence
SaaS
Human Capital Management
Power BI
SQL
Python
LLM
Artificial Intelligence
Semantic Modeling
DAX
API
Git
JSON
RAG
Agentic workflows
Business Intelligence
Data Engineering
Data Governance
KPI
Metric design
Predictive analytics
Machine learning
Enterprise data
Automation
Strategic planning
Stakeholder management
Data quality
Cloud HCM
Analytical engineering

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