Digital Analytics Manager
Role Overview
The Digital Analytics Manager joins Global Digital Marketing to support enterprise-wide Global Digital Storefront initiatives.
Analyzes user behavior across digital properties and turns complex data into insights that inform strategy, decisions, and customer experience optimization.
Key Skills for This Role
Full Job Posting
Role overview
The Digital Analytics Manager joins Global Digital Marketing to support enterprise-wide Global Digital Storefront initiatives.
Analyzes user behavior across digital properties and turns complex data into insights that inform strategy, decisions, and customer experience optimization.
Position responsibilities
- Own end-to-end reporting and insights strategy for the Global Digital Storefront across regions, brands, and digital properties.
- Build standardized measurement plans, dashboards, and reports for acquisition, engagement, conversion, retention, and customer journeys.
- Translate digital data into actionable insights for Marketing, Product, Technology, and senior leaders.
- Define and maintain KPIs aligned to Storefront objectives and evolving strategy.
- Deliver performance readouts and deep dives on trends, risks, opportunities, and optimization recommendations.
- Establish reporting frameworks, documentation, and analytics best practices in Adobe Analytics and related platforms.
- Partner with Product Owners and squad teams to include reporting requirements in epics and user stories.
- Monitor data quality and work with tagging and engineering teams to fix tracking gaps and discrepancies.
- Measure the impact of enhancements, experiments, and releases.
Required qualifications
- At least 5 years with advanced digital analytics platforms such as Adobe Analytics, Analysis Workspace, Adobe Target, Audience Manager, Real-Time CDP, Adobe Experience Platform, or similar enterprise tools.
- At least 2 years of business analysis experience in large, multi-function or multi-unit organizations.
- Data management and visualization experience with Power BI or Tableau, SQL, and R; digital performance measurement including mobile analytics.
- Advanced Databricks proficiency, including SQL, PySpark, Delta Lake, Workflows, Unity Catalog, and Power BI.
- Hands-on Python data science with pandas, NumPy, scikit-learn, statsmodels, or PySpark; MLflow, CI/CD, and testing.
- Expertise in experimentation design, attribution, incrementality, measurement, MMM, CLV, and privacy-aware analytics in regulated industries.
- Analytics engineering, Python modeling, analytical rigor, and systems thinking.
- Strong data storytelling, insight synthesis, executive communication, stakeholder influence, and change management.
- Experimentation mindset, measurement discipline, ROI orientation, ownership, initiative, and comfort with ambiguity.
Preferred qualification
- Experience in an agile project environment is a plus.
Work arrangement
- The working arrangement is hybrid.
Compensation
- The expected salary range is CAD 92,900–CAD 142,900; incentive compensation may also be available.
Benefits
- Eligible employees may receive health, dental, mental health, vision, disability, life, wellness, retirement savings, pension, and share ownership benefits.
- Canadian paid time off includes holidays, vacation, personal, and sick days, with statutory leaves.
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