Merchandise Data Analyst Jobs in Toronto, ON (NOW HIRING)

Position Summary...The Manager, Data Analyst supports the Canadian Technology Data Engineering team by delivering hands on analytics, reporting, and insights for priority initiatives. This role focuses on translating defined business needs into high quality analysis, dashboards, and repeatable datasets-while partnering closely with Data Engineering to ensure reliable data sourcing, quality, and security practices. (No direct people management.)What you'll do...

Hands-on analytics delivery

• Translate business questions into analytic requirements, data pulls, and repeatable reporting outputs.
• Perform exploratory analysis and produce clear, decisionready insights; present findings in business language.

Data sourcing and integration

• Identify and evaluate data sources; support processes to acquire, join, and validate data from multiple sources.
• Partner with Data Engineering to improve dataset usability, documentation, and accessibility for analytics consumption.
• Collaborate with other teams to aid with building visuals that directly support business decisions and ongoing operational tracking.

Data quality and controls

• Monitor data quality indicators; proactively identify issues, perform root cause analysis, and coordinate fixes with engineering partners.
• Coordinate and support security measures to safeguard information.

Initiative execution

• Support multiple initiatives by tracking deliverables, documenting assumptions/definitions, and ensuring outputs are reproducible.

QualificationsMinimum Qualifications

• Bachelor's degree or equivalent practical experience in analytics/data work.
• Strong experience in Retail (Brick & Mortar and eCommerce) and as a Data Analyst (7+ years)
• Strong SQL experience and proficiency with at least one analytics/programming tool (e.g., Python/R).
• Demonstrated ability to assess data quality, validate sources, and communicate limitations/assumptions.

Preferred Qualifications

• Experience with GCP/BigQuery and/or cloud data ecosystems.
• Familiarity with statistical techniques (hypothesis testing, inference) and experiment measurement.
• Experience with Generative and Agentic AI

Core Competencies

• Strong execution, attention to detail, and documentation
• Practical problem solving and data validation discipline
• Clear communication and stakeholder responsiveness
• Builds reusable assets; continuous improvement mindset

Leadership Expectations:
Respect the Individual:
Demonstrates and encourages respect for others; drives a positive associate and customer experience for all; embraces differences in people, cultures, ideas, and experiences; supports workplaces where associated feel seen and connected through a culture of belonging, so all associates thrive and perform; contributes to an environment allowing everyone to bring their best selves to work.
Demonstrates engagement and commitment to the team, developing others through feedback, coaching, mentoring, and developmental opportunities; and recognizes others' contributions and accomplishments.
Builds strong and trusting relationships with team members and business partners; works collaboratively to achieve objectives; communicates with impact and listens attentively to a range of audiences; and demonstrates energy and positivity for own work.
Acts with Integrity:
Maintains and promotes the highest standards of integrity, ethics and compliance; models the Walmart values and leads by example to foster our culture;supports Walmart's goal of becoming a regenerative company by making a positive impact for associates, customers, and the world around us (e.g., creating a sense of belonging, eliminating waste, participating in local giving).
Follows the law, our code of conduct and company policies, and encourages others to do the same; supports an environment where associates feel comfortable sharing concerns; reinforces our culture of non-retaliation; listens to concerns raised by associates and takes action; acts with accountability for achieving results in a way that is consistent with our values.
Is consistently humble, self-aware, honest, and transparent.
Serve our Customers:
Delivers results while putting the customer first and applying an omni-merchant mindset and acts with an Every Day Low Cost mindset to drive value and Every Day Low Prices for customers.
Adopts a broad perspective that considers data, analytics, customer insights, and different parts of the business when making plans.
Strive for Excellence:
Consistently raises the bar and seeks to improve; demonstrates curiosity and a growth mindset; seeks feedback, asks thoughtful questions; supports innovation and intelligent risk-taking; and exhibits resilience in the face of setbacks.
Implements and supports continuous improvements and willingly embraces new digital tools and ways of working.

The pay range for this position is $91,900.00 - $126,390.00. Pay will be determined based on relevant experience.L'echelle salariale pour ce poste est de 91,900.00 a 126,390.00. La remuneration sera determinee en fonction de l'experience pertinente.Minimum Qualifications...

Outlined below are the required minimum qualifications for this position. If none are listed, there are no minimum qualifications.

Age - 16 or olderPreferred Qualifications...

Outlined below are the optional preferred qualifications for this position. If none are listed, there are no preferred qualifications.

Walmart will accommodate the disability-related needs of applicants and associates as required by law.

Primary Location...

1940 Argentia Rd, Mississauga, ON L5N 1P9, CanadaAre you currently a Walmart associate?Please login to your Workday account and use the Find Jobs report to apply for this job.

• Find Jobs

Important Note: To support resume screening, interviews and other candidate evaluations, we may use artificial intelligence-powered tools, including internal or third-party developed automated decision-making tools. For more information, please see Walmart Canada Job Applicant Privacy Notice.