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1,515

Data Engineer jobs in Canada

Senior Data Scientist

Loblaw Companies Limited

Brampton
On-site
CAD 120,000 - 154,000
16 days ago
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Senior Machine Learning Engineer (Library)

Loopio Inc.

Toronto
Remote
CAD 120,000 - 160,000
16 days ago

Customer Insights Data Analyst

PBS Systems

Calgary
On-site
CAD 60,000 - 75,000
16 days ago

Inbound Logistics Data Analyst – Hybrid Role

lululemon

Vancouver
Hybrid
CAD 81,000 - 107,000
16 days ago

Lead Data Analyst - Broadridge

Scotiabank

Toronto
On-site
CAD 100,000 - 150,000
16 days ago
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Supply Chain Data Analyst | Power BI & S&OP Insights

Organigram

Toronto
On-site
CAD 70,000 - 90,000
16 days ago

Supply Chain Data Analyst (hybrid)

Organigram

Toronto
On-site
CAD 70,000 - 90,000
16 days ago

Junior Data Scientist — BI & Analytics Impact

Babcock Canada Inc.

Victoria
Hybrid
CAD 57,000 - 72,000
16 days ago
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Junior Data Scientist (Permanent)

Babcock Canada Inc.

Victoria
Hybrid
CAD 57,000 - 72,000
16 days ago

Sr. Data Scientist (remote)

North American Search Group

Canada
Remote
CAD 80,000 - 120,000
17 days ago

Safety Data Analyst

NES Fircroft

Alberta
Hybrid
CAD 80,000 - 100,000
17 days ago

Safety Data Analyst: Predictive Insights & Power Platform

NES Fircroft

Alberta
Hybrid
CAD 80,000 - 100,000
17 days ago

Senior Research Engineer, Machine Learning Systems

Qualcomm

Markham
On-site
CAD 154,000 - 223,000
17 days ago

Senior M365 Consultant: AI Copilot & Governance

Deloitte Canada

Toronto
Hybrid
CAD 58,000 - 138,000
17 days ago

Growth & Operations Analyst | Data-Driven Projects

family-innovation-corp

Vancouver
On-site
CAD 75,000 - 85,000
17 days ago

Payroll Analyst: Data-Driven, High-Volume Pay

BC Ferries

Victoria
On-site
CAD 60,000 - 75,000
17 days ago

Data Analyst & Presentation Specialist, Utilities (Hybrid)

QA Consultants Inc.

Vaughan
Hybrid
CAD 65,000 - 85,000
17 days ago

Fleet Operations Clerk — Admin & Data Specialist

Capital Regional District

Victoria
On-site
CAD 100,000 - 125,000
17 days ago

Sr. Data Analyst

The Select Group

Toronto
Hybrid
CAD 80,000 - 100,000
18 days ago

Product Data Scientist: Growth, Experiments & Dashboards

GPTZero

Toronto
Hybrid
CAD 80,000 - 100,000
19 days ago

Product Data Scientist

GPTZero

Toronto
Hybrid
CAD 80,000 - 100,000
19 days ago

Entry-Level Data Scientist — Healthcare Impact & Growth

McKesson

Montreal (administrative region)
On-site
CAD 60,000 - 80,000
19 days ago

Strategic Data & Business Analyst for CRT & Claims

Vantix Systems Inc.

Edmonton
On-site
CAD 70,000 - 90,000
19 days ago

Power & Gas Market Analyst — Data-Driven Trading Support

TEEMA

Edmonton
On-site
CAD 130,000 - 150,000
19 days ago

Senior Designer - Data-Driven UX/UI for FinTech (Hybrid)

goeasy Ltd

Mississauga
Hybrid
CAD 88,000 - 94,000
19 days ago

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Senior Data Scientist
Loblaw Companies Limited
Brampton
On-site
CAD 120,000 - 154,000
Full time
16 days ago

Job summary

A leading Canadian retailer is seeking a Senior Data Scientist to join their Merchandise Analytics team in Brampton. This role focuses on leveraging vast PC Optimum data to enhance customer loyalty and drive targeted campaigns. Candidates should have strong SQL and Python skills, along with significant experience in quantitative analysis. The position offers a competitive salary range of $120,000 to $154,000 per year. Comprehensive training and benefits are included.

Benefits

Comprehensive training
Flexible benefits
Competitive salary

Qualifications

  • 5+ years of progressive experience in quantitative analysis roles.
  • Strong proficiency in SQL and Python.
  • Experience working with large datasets and advanced analytical tools.

Responsibilities

  • Collaborate with various business units on merchandising and loyalty.
  • Design, deploy, and maintain targeted campaigns.
  • Analyze campaign results and provide data-driven recommendations.
  • Implement best practices for data and software development.
  • Ensure compliance with legal and data integrity guidelines.

Skills

SQL
Python
Data analysis
Critical thinking
Problem-solving

Education

Bachelor's or Master's degree in an analytical field

Tools

Google Cloud Platform (GCP)
Job description

Come make your difference in communities across Canada, where authenticity, trust and making connections is valued – as we shape the future of Canadian retail, together. Our unique position as one of the country's largest employers, coupled with our commitment to positively impact the lives of all Canadians, provides our colleagues a range of opportunities and experiences to help Canadians Live Life Well®.

At Loblaw Companies Limited, we succeed through collaboration and commitment and set a high bar for ourselves and those around us. Whether you are just starting your career, re-entering the workforce, or looking for a new job, this is where you belong.

As a Senior Data Scientist on the Merchandise Analytics team, you will play a pivotal role in leveraging our extensive PC Optimum data to drive strategic merchandising and customer targeting initiatives. You will lead a small, dedicated team, focusing primarily on customer loyalty while also gaining exposure to diverse areas within Retail and Merchandising. This is an exciting opportunity to translate complex customer data into actionable insights that deliver tangible value to our customers and drive incremental purchases.

Who You Are:

You are an experienced leader with a proven track record of guiding projects from inception to completion. You excel at transforming customer data into impactful 1:1 decision-making strategies. Technically, you are proficient in SQL and Python, and ideally have experience with cloud environments, particularly Google Cloud Platform (GCP) or similar.

What You’ll Do:
  • Strategic Partnership: Collaborate with various business units across Merchandising and Loyalty, including Targeting, Pricing, Promotion, Assortment, and Customer Insights.
  • Campaign Management: Design, deploy, and meticulously maintain targeted campaigns aimed at enhancing customer value and driving incremental sales.
  • Performance Measurement: Analyze campaign results, derive key insights, and provide data-driven recommendations for continuous improvement.
  • Innovation & Best Practices: Stay abreast of the latest data and software development approaches, implementing best practices to ensure cutting-edge solutions.
  • Compliance & Data Integrity: Uphold strict adherence to legal and compliance guidelines, safeguarding sensitive and confidential customer information.
What You’ll Bring:
  • Education: Bachelor's or Master's degree in an analytical field such as Computer Science, Mathematics, Statistics, Economics, Engineering, or a related discipline.
  • Experience: 5+ years of progressive experience in quantitative analysis roles, with demonstrated results.
  • Technical Skills: Strong proficiency in SQL and Python. Exposure to cloud environments is essential, with GCP experience preferred.
  • Data Expertise: Proven experience working with large datasets and advanced analytical tools.
  • Core Competencies:
    • Exceptional critical thinking and problem-solving abilities.
    • Strong storytelling skills, capable of translating complex data into clear, compelling narratives.
    • Proactive initiative and the ability to thrive in a fast-paced, multi-tasking environment.
    • Meticulous attention to detail.

At Loblaw, we respect the environment, source products with integrity and make a positive difference in the community. Our CORE Values – Care, Ownership, Respect and Excellence – guide all our decision-making and come to life through our Blue Culture. We offer our colleagues progressive careers, comprehensive training, flexibility, and other competitive benefits – these are some of the many reasons why we are one of Canada’s Top Employers.

Loblaw recognizes Canada's diversity as a source of national pride and strength. We have made it a priority to reflect our nation’s evolving diversity in the products we sell, the people we hire, and the culture we create in our organization.

Accommodation is available upon request for applicants with disabilities in the recruitment and assessment process and when hired.

Our commitment to Sustainability and Social Impact is an essential part of the way we do business. We focus our attention on areas where we can have the greatest impact. Our approach to sustainability and social impact is based on three pillars – Environment, Sourcing and Community – and we are constantly looking for ways to demonstrate leadership in these important areas. Our CORE Values – Care, Ownership, Respect and Excellence – guide all our decision-making and come to life through our Blue Culture. We offer our colleagues progressive careers, comprehensive training, flexibility, and other competitive benefits – these are some of the many reasons why we are one of Canada’s Top Employers, Canada’s Best Diversity Employers, Canada’s Greenest Employers & Canada’s Top Employers for Young People.

If you are unsure whether your experience matches every requirement above, we encourage you to apply anyway. We are looking for varied perspectives which include diverse experiences that we can add to our team.

We have a long-standing focus on diversity, equity and inclusion because we know it will make our company a better place to work and shop. We are committed to creating accessible environments for our colleagues, candidates and customers. Requests for accommodation due to a disability (which may be visible or invisible, temporary or permanent) can be made at any stage of application and employment. We encourage candidates to make their accommodation needs known so that we can provide equitable opportunities.

Please Note: Candidates who are 18 years or older are required to complete a criminal background check. Details will be provided through the application process.

Hiring Range / Échelle salariale à l’embauche : $120,000.00 - $154,000.00 (per year / par an) A candidate’s experience and knowledge as well as the geographical region in which the position is located may be factored into the pay a candidate receives for this position. This posting is for an existing vacancy. The Company uses artificial intelligence for the purpose of screening, assessing and/or selecting applicants for this position.

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* The salary benchmark is based on the target salaries of market leaders in their relevant sectors. It is intended to serve as a guide to help Premium Members assess open positions and to help in salary negotiations. The salary benchmark is not provided directly by the company, which could be significantly higher or lower.

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