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Primary Purpose: The Senior Manager, Data Analytics plays a pivotal role in accelerating growth across Tapestry’s EMEAI business by transforming routine reporting into actionable insights, driving the adoption of data-based measurement and championing automation and AI to accelerate decision making and operational efficiency.
Reporting to the VP of Finance & Operations EMEAI, the Senior Manager will collaborate with stakeholders from across the business to define priorities, uncover high‑impact opportunities, and translate insights into business strategies that improve revenue, gross margin and customer experience.
The successful individual will leverage their proficiency in Data Analytics to:
Centralize data integrity, reporting, tools architecture and training while decentralizing insight creation and action. Partner across functions to design data‑driven analyses, strategies, and tools
Shift focus from static reporting to insight generation and build interactive visualizations, dynamic dashboards, and standard reports that highlight leading‑indicator insights
Perform large‑scale analyses to uncover high‑impact acquisition drivers, media‑spend efficiency, and revenue‑growth actions. Translate results into clear, data‑driven stories
Drive organisation‑wide adoption of data by measuring outcomes, showcasing impact, and promoting a data‑first mindset for decision‑making
Embed predictive models, automated reporting, and AI‑driven recommendations (e.g., MAP efficiency, allocation optimization) and champion their use in business processes
Drive adoption of automation and AI and lead AI/ML pilot projects, demonstrating tangible value, and promoting scaling of successful models
Collaborate with Data Engineering, Data Science, and Algorithm teams to innovate data sourcing, management, and product solutions
Liaise with the Global Data Analytics team to align reporting standards, sharing best practices, and fostering cross‑regional data collaboration
Maintain data integrity, develop reusable analytics tools, and provide stakeholder training to ensure teams rely on accurate and self‑service data
Track key operational metrics, measuring operational efficiency, and driving process improvements to maximize sales/gross margin, improve the site‑consumer journey and conversion, and focus the organization on acquisition levers
The accomplished individual will possess:
Significant hands‑on analytics experience within retail, eCommerce, or consulting environments
Advanced SQL and ETL capabilities
Strong data‑visualisation expertise (Tableau or comparable)
Hands‑on experience with Google Analytics and BigQuery
Proficiency in Python or R for analysis and modelling
Proven ability to drive adoption of data‑based measurement and turn metrics into strategic actions
Demonstrated experience championing automation and AI (automated pipelines, predictive models, AI‑assisted tools)
Excellent storytelling, communication, and relationship‑building skills
Track record of translating analytics into revenue‑driving initiatives and improving gross margin
Ability to prioritise dynamically in a fast‑paced, global environment
Bachelor’s degree in a quantitative or technical discipline
Experience deploying AI/ML solutions at scale (recommendation engines, demand forecasting, etc.)
Familiarity with automation/orchestration platforms (Airflow, Prefect) and MLOps…