(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
- 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.
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.ㅤ
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?
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More about this job
Responsibilities
The Senior Manager will lead a team to develop actionable analytics and AI-enabled solutions that drive business decisions and operational performance. They will partner with senior stakeholders to interpret performance trends and establish standards for data quality and storytelling.
Requirements
Candidates must have 7+ years of experience in data analytics, business intelligence, or strategy, with a preference for retail or eCommerce backgrounds. Proficiency in analytical tools like SQL, Python, and visualization platforms is required, along with proven leadership experience.
Skills
- Data Analytics
- Business Intelligence
- SQL
- Tableau
- Power BI
- BigQuery
- Python
- AI Implementation
- Retail Strategy
- People Leadership
- Stakeholder Management
- Data Governance
- Performance Reporting
- Strategic Planning
- Communication
- Problem Solving
Visa sponsorship
Not detected in the job text
Categories
- Data & Analytics
- Management & Leadership
- Retail
- Technology
- Consulting
Keywords
- Data Analytics
- Business Intelligence
- SQL
- Tableau
- Power BI
- BigQuery
- Python
- AI
- Retail
- eCommerce
- KPIs
- Data Governance
- Reporting
- Strategy
- Consulting
- Stakeholder Management
- Data Quality
- Predictive Analytics
- Operational Performance
- Decision Support