(CAN) Senior Manager, Data Analytics
Role Overview
The Senior Manager, Data Analytics leads a high-performing team that turns data into business decisions and measurable action.
The role combines analytical and technical expertise with business acumen and cross-business partnership.
Key Skills for This Role
Full Job Posting
Role overview
The Senior Manager, Data Analytics leads a high-performing team that turns data into business decisions and measurable action.
The role combines analytical and technical expertise with business acumen and cross-business partnership.
What you will do
- Lead 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.
- Translate priorities into analytical requirements and outcomes; partner with senior stakeholders to interpret trends and recommend action.
- Lead analysts and establish 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.
- Promote self-service reporting and trusted data assets, rationalize duplicate reporting, and champion data governance.
- Communicate insights clearly to executive audiences.
What you will bring
- 7+ years in data analytics, business intelligence, strategy, consulting, or a related field; retail, eCommerce, or consumer-facing experience is 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 insights with commercial decisions and operational actions, and strong understanding of retail performance drivers.
- Proven people leadership, including coaching, developing, and managing high-performing analytical teams.
- Strong business judgment, communication, and stakeholder-management skills; ability to work through ambiguity and influence across functions.
Leadership expectations
- Develop talent through feedback, coaching, mentoring, and development opportunities; recognize contributions and empower associates and partners.
- Build trusting relationships and collaborate cross-functionally to achieve objectives; communicate and listen attentively.
- Model integrity, ethics, compliance, company values, and a culture of belonging; follow laws, policies, and the code of conduct.
Success in the role
Build confidence in business data, improve leaders’ access to meaningful insights, and help teams take actions that improve performance.
Develop talent, build strong partnerships, and establish analytics as a trusted driver of retail decisions.
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