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(CAN) Senior Manager, Data Analytics

  • Mississauga, ON, Canada

The pay range for this position is $109 400,00 - $150 480,00. · Full-time

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Job details

Pay
The pay range for this position is $109 400,00 - $150 480,00.
Job type
Full-time
Apply by
Posting language
English
Posted

Original job description

Position Summary...The Senior Manager, Data Analytics will lead a high-performing team that turns data into clear business decisions and measurable action. This role blends strong analytical and technical expertise with deep business acumen, partnering with leaders across the business to identify opportunities and solve complex problems.

What You'll Do...

  • Lead the development of actionable analytics, reporting, and decision-support products that improve sales, margin, customer experience, and operational performance.
  • Lead the adoption and implementation of AI-enabled analytics solutions, identifying high-value retail use cases and embedding responsible, scalable capabilities into business processes and decision-making.
  • Translate business priorities into clear analytical questions, requirements, and measurable outcomes.
  • Partner with senior stakeholders to interpret performance trends, uncover root causes, and recommend practical actions.
  • Lead a team of analysts, creating strong standards for data quality, storytelling, stakeholder engagement, and delivery.
  • Define and monitor retail KPIs across sales, transactions, margin, inventory, customer behavior, digital performance, and operational execution.
  • Drive adoption of self-service reporting and trusted data assets while simplifying and rationalizing duplicative reporting.
  • Champion data governance, ensuring analytics products are accurate, scalable, timely, and aligned to enterprise definitions.
  • Communicate insights in a concise and compelling manner for executive audiences

What You’ll Bring

  • 7+ years of experience in data analytics, business intelligence, strategy, consulting, or a related field; retail, eCommerce, or consumer-facing experience preferred.
  • Advanced experience with analytical and visualization tools such as SQL, Tableau, Power BI, BigQuery, Python, or similar platforms.
  • Proven ability to lead AI implementation and adoption that delivers measurable business value.
  • Demonstrated ability to connect data insights to commercial decisions and operational actions.
  • Strong understanding of retail performance drivers.
  • Proven people leadership experience, including coaching, developing, and managing high-performing analytical teams.
  • Strong business judgment and the ability to work through ambiguity, balance competing priorities, and focus teams on the highest-value opportunities.
  • Excellent communication and stakeholder-management skills, with the ability to influence decisions across functions and levels.
  • A practical, action-oriented mindset: able to move beyond reporting what happened to recommending what should happen next.

What Success Looks Like

Success in this role means the business has greater confidence in its data, leaders have faster access to meaningful insights, and teams take clearer actions that improve performance. The Senior Manager will build strong partnerships, develop talent, and establish analytics as a trusted driver of retail decisions.

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.

Age – 16 or older

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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More about this job

Responsibilities

Lead an analytics team in developing decision-support products, retail KPIs, trusted data assets, and AI-enabled analytics that improve commercial and operational performance. Partner with senior stakeholders to interpret trends, identify root causes, recommend actions, and communicate insights to executive audiences.

Requirements

Requires 7+ years of experience in analytics, business intelligence, strategy, consulting, or a related field, along with advanced experience using tools such as SQL, Tableau, Power BI, BigQuery, or Python. Candidates should have proven AI adoption and people leadership experience, strong retail performance knowledge, and the ability to turn insights into business actions and influence stakeholders.

Skills

  • Data Analytics
  • Business Intelligence
  • SQL
  • Tableau
  • Power BI
  • BigQuery
  • Python
  • AI Implementation
  • Retail Analytics
  • KPI Management
  • Data Governance
  • Data Visualization
  • People Leadership
  • Stakeholder Management
  • Business Strategy
  • Executive Communication

Visa sponsorship

Not detected in the job text

Categories

  • Data & Analytics
  • Management & Leadership
  • Retail
  • Technology

Keywords

  • Data Analytics
  • Business Intelligence
  • Retail
  • E-Commerce
  • Consumer-Facing Experience
  • SQL
  • Tableau
  • Power BI
  • BigQuery
  • Python
  • Artificial Intelligence
  • AI-Enabled Analytics
  • Decision Support
  • Data Visualization
  • Retail KPIs
  • Sales Performance
  • Margin
  • Inventory
  • Customer Behavior
  • Digital Performance
  • Operational Execution
  • Data Quality
  • Data Governance
  • Self-Service Reporting
  • Trusted Data Assets
  • Root Cause Analysis
  • Stakeholder Management
  • Executive Communication
  • Team Leadership
  • Continuous Improvement

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