(CAN) Senior Manager, Data Analytics
Role Overview
The Senior Manager, Data Analytics leads a high-performing team that turns data into clear business decisions and measurable action.
The role combines analytical and technical expertise with business acumen and partners across the business to solve complex problems.
Key Skills for This Role
Full Job Posting
Position summary
The Senior Manager, Data Analytics leads a high-performing team that turns data into clear business decisions and measurable action.
The role combines analytical and technical expertise with business acumen and partners across the business to solve complex problems.
What you’ll do
- Lead actionable analytics, reporting, and decision-support products to improve sales, margin, customer experience, and operational performance.
- Lead responsible, scalable adoption of AI-enabled analytics, identifying high-value retail use cases and embedding solutions into business processes and decisions.
- Translate business priorities into analytical questions, requirements, and measurable outcomes; interpret trends with stakeholders and recommend practical actions.
- Lead analysts and set standards for data quality, storytelling, stakeholder engagement, and delivery.
- Define and monitor retail KPIs spanning sales, transactions, margin, inventory, customer behavior, digital performance, and operational execution.
- Expand self-service reporting and trusted data assets while simplifying duplicate reporting; champion accurate, timely, scalable, governed analytics.
- Communicate insights to executive audiences and build partnerships that establish analytics as a trusted driver of retail decisions.
What you’ll bring
- At least seven years of experience in data analytics, business intelligence, strategy, consulting, or a related field.
- Retail, eCommerce, or consumer-facing experience is preferred.
- Advanced experience with 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, and connect insights to commercial and operational action.
- Strong understanding of retail performance drivers and proven people leadership, including coaching, developing, and managing analytical teams.
- Strong business judgment, ability to work through ambiguity and competing priorities, and excellent communication and stakeholder-management skills.
- Action-oriented approach that moves beyond reporting results to recommending what should happen next.
Success in the role
Success means leaders access meaningful insights faster, have greater confidence in data, and take clearer actions to improve performance.
The Senior Manager builds partnerships, develops talent, and makes analytics a trusted driver of retail decisions.
Leadership expectations
Build a high-performing, inclusive team; develop talent through feedback, coaching, mentoring, and growth opportunities; recognize contributions and support a positive associate and customer experience.
Build trusting relationships and collaborate across functions to achieve objectives; communicate and listen attentively to motivate and influence others.
Model integrity, ethics, compliance, and company values; follow laws, the code of conduct, and company policies, and encourage associates to raise concerns.
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