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Intern - Data Scientist, Winter 2027
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Cybersecurity Engineer, Entry Level (Canada)
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Winter 2027: Production Support Co-op ( 4 months)
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Intern - Data Scientist, Winter 2027
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Added 1 month ago
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Added 1 month ago
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Java Developer
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Montreal, QC
- Contract
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Added 1 month ago
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Computer Vision Engineer
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Added 1 month ago
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Strong scripting and automation skills using Python, PowerShell, or similar languages
Added 1 month ago
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Sr Analyst, DevOps
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Staples Canada

Senior Manager - Customer Analytics

Richmond Hill, ON, Canada

Full-time

Apply About employer

Applications open in a new tab.

Job details

Job type: Full-time
Experience: 3+ years of experience specifically in retail data management and analytics.
Posting language: English
Posted: Sep 15, 2026

Original job description

Some of what you will do:

This role will drive analytical leadership within the company and enable data-based decision making to help Staples Canada become a leading data-driven organization. The individual will lead the Customer Analytics practice as part of the Enterprise Analytics & Data Science team. Our multi-tenant cloud platforms power our analytics and ML/AI capabilities and we’re looking for an active hands-on contributor to play a central role in helping our teams understand performance and impact of their strategies. Additionally, the role will be continuously challenged to bring forward valuable insights to help their partners make better and more informed decisions.

We’re on a transformation journey and this role will be a key enabler in accelerating our analytics practice. In addition to having direct ownership over Customer Analytics, this role will work closely with various cross-functional partners and have the opportunity to build deep insights across the customer journey – extending to marketing and our B2B functions. This role will also lead to the development and ongoing evaluation of a unified Customer 360 capability, enabling a consistent view of customers across channels and business functions.

Specifically, You Will:

Own and develop the vision, strategy, and execution for a best-in-class customer intelligence and analytics function, ensuring scalability of systems, governance, tools, capabilities, processes, and talent.
Drive both strategic and tactical execution to unlock the value of data across internal and external data sets and generate critical actionable insights to drive the decision-making process.
Establish analytical standards and best practices to be leveraged across the company’s ecosystem.
Execute on the roadmap and deliver reporting & impactful insights to core partners across the customer journey.
Provide customer and business insights and recommendations to drive increased revenue, conversion, traffic, profitability, customer engagement, retention, and improved customer experience. Implement quick wins to support the overall business objectives.
Own the Customer 360 roadmap and delivery, partnering across Analytics, Data Science, Engineering, and business teams to establish a trusted customer view and enable customer analytics across the organization.
Focus on automation and utilizing technology to provide repeatable solutions; drive optimization and efficiency initiatives to support reduced cycle time and automation across existing workflows.
Partner with B2B, Marketing, and other teams to bring forward solutions to accelerate their roadmaps, enabling us all to move faster and further together.

Some of what you need:

BS / BA, preferably in Mathematics or Computer sciences or any other quantitative discipline.
Strong understanding of customer analytics, including customer segmentation, behaviour, journeys, retention, and personalization.
Exceptional analytical and critical thinking skills; ability for translating large, complex datasets and digesting them into actionable business insights that have an impact.
Experience with Looker, PowerBI, or any Business Intelligence tools.
Expert in SQL and strong proficiency in Python.
Proficiency with statistical tools such as SAS or R assets.
Understanding of the Google Cloud Platform or other cloud-based data platforms.
5-7 years in a highly analytical, results-driven environment.
3+ years of experience specifically in retail data management and analytics.

Physical demands/working conditions:

Office environment – Hybrid, with 4 days onsite in Richmond Hill, subject to the hybrid policy.

Some of what you will get:

Associate discount
Health and Dental benefits
RRSP/DPSP
Performance bonuses
Learning & Development programs
And more...

#MakeAnImpact

We value transparency in our hiring processes. Please note, artificial intelligence may be used in certain stages to screen, assess, or select applicants, however, a human reviewer makes all final decisions. This posting is for an existing vacancy.

About the Team

At Staples Canada we are dynamic, inspiring partners to our customers and the communities in which we live. As The Working and Learning Company, we inspire people to work smarter, learn more and grow every day. We’re looking for curious, approachable, and passionate individuals who love finding solutions. If that’s you, let’s work, learn, and grow together.

We are building an inclusive and diverse team

Staples Canada is continuously working towards creating an inclusive and diverse work environment. We welcome, value and thrive on perspectives and contributions from backgrounds that vary by race, gender, sexual orientation, gender identity or expression, lifestyle, age, educational background, national origin, religion or physical ability. If you have a disability or special need that requires accommodation, please let us know.

Apply About employer

More about this job

Responsibilities

The Senior Manager will lead the Customer Analytics practice to drive data-based decision-making and develop a unified Customer 360 capability. They will own the vision and strategy for customer intelligence while partnering with cross-functional teams to deliver actionable insights across the customer journey.

Requirements

Candidates must have a bachelor's degree in a quantitative discipline and 5-7 years of experience in a highly analytical environment. Proficiency in SQL, Python, and BI tools like Looker or PowerBI is required, along with 3+ years of specific retail data management experience.

Skills

Customer analytics
Data science
SQL
Python
Looker
PowerBI
SAS
R
Google Cloud Platform
Customer segmentation
Customer journey mapping
Machine learning
Artificial intelligence
Data governance
Strategic planning
Retail analytics

Benefits

Associate discount
Health and Dental benefits
RRSP/DPSP
Performance bonuses
Learning & Development programs

Visa sponsorship

Not detected in the job text

Keywords

Customer Analytics
Data Science
Machine Learning
Artificial Intelligence
SQL
Python
Looker
PowerBI
SAS
R
Google Cloud Platform
Customer 360
Retail
Data Governance
Business Intelligence
Customer Segmentation
Customer Journey
Data-driven
Automation
Strategy
Analytics
Cloud Platforms
Marketing Analytics
B2B
Performance Metrics

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