Position Summary...

The Senior Manager, Data Analyst (IC) supports the Canadian Technology Data Engineering team by leading complex analytics initiatives end to end—translating ambiguous business problems into actionable, data driven solutions and measurable outcomes. This role partners with technical and business stakeholders to define the “right questions,” ensure trusted data sources, and deliver insights through scalable reporting, automation, and storytelling.

What you'll do...

Strategic analytics leadership (hands-on)

• Lead discovery with stakeholders to clarify problem statements, define success measures, and translate needs into analytical approaches and deliverables.
• Translate complex requirements into analytical, data, or mathematical solutions; select methods and tools appropriate to context and constraints.
• Drive clarity on trusted data sources and data definitions to improve consistency and reduce rework across teams.

Data sourcing, quality, and governance

• Identify and evaluate internal/external data sources; implement repeatable approaches for acquiring and integrating data, ensuring accuracy, completeness, and accessibility.
• Plan and lead efforts to improve data quality and integrity; define, monitor, and remediate data quality metrics and issues.
• Coordinate and support security measures to safeguard information against accidental or unauthorized modification/disclosure.

Execution & operational excellence

• Manage multiple concurrent initiatives by developing plans, defining performance measures, monitoring progress, and adapting approaches.
• Partner closely with Data Engineering, Solution Architecture, Quality Automation Specialists (and related functions) to ensure analytics outputs are reproducible, well‑documented, and scalable.

Enablement

• Mentor and lead analysts/engineers informally via standards, templates, reviews, and knowledge sharing—without direct managerial accountability.
• Communicate complex analysis in clear business terms; influence stakeholders with evidence and practical examples of solution value.

Minimum Qualifications

• Bachelor’s degree in a quantitative field (e.g., Statistics, Mathematics, Computer Science, Engineering, Economics) or equivalent practical experience. (Suggested)
• Strong experience in Retail (Brick & Mortar and eCommerce) and as a Data Analyst (12+ years)
• Advanced analytics experience building insights and automation using SQL plus a scripting language (e.g., Python/R).
• Strong experience presenting to senior stakeholders.
• Demonstrated experience establishing/leading data quality and governance practices in partnership with stakeholders.

Preferred Qualifications

• Experience with GCP / BigQuery and working across disparate data platforms.
• Experience with hypothesis testing, statistical inference, predictive/prescriptive analytics, and/or experimentation.
• Experience standardizing metrics definitions and improving “single version of truth” reporting across teams.
• Experience with Generative and Agentic AI

Core Competencies

• Consulting mindset; stakeholder influence without authority
• High judgment on data quality, privacy/security, and risk
• Strong storytelling and executive communication
• Operates independently; thrives in ambiguity; delivers measurable outcomes

Leadership Expectations:

Respect the Individual:

Demonstrates and encourages respect for all; builds a high-performing team; seeks, and embraces differences in people, cultures, ideas and experiences; creates a workplace and experiences where all associates feel seen, supported and connected through culture of belonging so associates thrive and perform; drives a positive associate and customer experience for all; identifies, attracts, and retains the best team members.

Creates a discipline and focus around developing talent, through feedback, coaching, mentoring, and developmental opportunities; promotes an environment allowing everyone to bring their best selves to work; empowers associates and partners to act in the best interest of the customer and company; and regularly recognizes others’ contributions and accomplishments.

Builds strong and trusting relationships with team members and business partners; works collaboratively and cross-functionally to achieve objectives; and communicates and listens attentively, with energy and positivity to motivate, influence, and inspire commitment and action.

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 sets expectations for others to do the same; promotes an environment where associates feel comfortable sharing concerns and reinforces our culture of non-retaliation; listens to concerns raised by associates. takes action and encourages others to do the same; holds self and others accountable for achieving results in a way that is consistent with our values.

Acts as an altruistic servant leader and is consistently humble, self-aware, honest, and transparent.

Serve our Customers:

Delivers expected business results while putting the customer first and consistently 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 holistic perspective that considers data, analytics, customer insights, and different parts of the business when making plans and shaping the team’s strategy.

Strive for Excellence:

Consistently raises the bar and seeks to improve; demonstrates curiosity and a growth mindset; seeks feedback, asks thoughtful questions, fosters an environment that supports learning, innovation, and learning from mistakes, and intelligent risk-taking; and exhibits resilience in the face of setbacks.

Seeks and implements continuous improvements and encourages the team to leverage new digital tools and ways of working. 

The pay range for this position is $109,400.00 - $150,480.00. Pay will be determined based on relevant experience.

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L’échelle salariale pour ce poste est de 109,400.00 à 150,480.00. La rémunération sera déterminée en fonction de l’expérience pertinente.

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Minimum Qualifications...

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

Preferred 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, Canada

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