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Senior Manager, Data Analytics EMEAITapestryLondon, England, United Kingdom

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Senior Manager, Data Analytics EMEAI

Tapestry
  • GB
    London, England, United Kingdom
  • GB
    London, England, United Kingdom

Über

We believe that difference sparks brilliance, so we welcome people and ideas from everywhere to join us in stretching what’s possible.
At Tapestry, being true to yourself is core to who we are. When each of us brings our individuality to our collective ambition, our creativity is unleashed. This global house of brands – Coach and Kate Spade New York – was built by unconventional entrepreneurs and unexpected solutions, so when we say we believe in dreams, we mean we believe in making them happen. We’re always on a journey to becoming our best, but you can count on this: Here, your voice is valued, your ambitions are supported, and your work is recognized.
Primary Purpose The Senior Manager, Data Analytics
plays a pivotal role in accelerating growth across Tapestry’s EMEAI markets by applying advanced analytics and data science. This position transforms routine reporting into actionable insights while promoting data‑led measurement, automation, and AI to accelerate decision making and operational efficiency.
Reporting to the VP of Finance & Operations EMEAI, you will work closely with global business partners to define analytical priorities, surface high‑impact opportunities, and translate insights into tangible business strategies to improve revenue, gross margin and the customer experience.
The Accomplished Individual Will Possess
5+ years of hands‑on analytics experience within retail, e‑commerce, or consulting environments
Bachelor’s degree in a quantitative or technical field, or equivalent experience
Proven ability to drive adoption of data-based measurement and turn metrics into strategic actions
Exceptional storytelling, communication, and stakeholder‑relationship skills
Track record of translating analytics into revenue driving initiatives and improving gross margin
Advanced SQL and ETL capabilities
Strong analytical curiosity and a genuine passion for data‑driven problem solving
Expertise in data visualisation tools such as Tableau (or equivalent)
Practical experience with Google Analytics and BigQuery
Proficiency in Python or R for analysis and modelling
Working knowledge of automation/orchestration platforms (e.g., Airflow, Prefect) and MLOps tooling
Track record of promoting automation and AI solutions (e.g., automated pipelines, predictive models, AI‑assisted tools)
Experience deploying AI/ML solutions at scale (e.g. recommendation engines, demand forecasting)
Ability to prioritise effectively in a fast‑paced, global environment and prior success influencing global data culture change
Please be advised that we are unable to provide visa sponsorship for this position. As such, you will only be considered if you already possess the right to work in the UK.
What Tapestry Can Offer You
Hybrid working (Tuesday, Wednesday, Thursday in‑office, Monday and Friday remote)
Flex Fridays (Option to finish early on a Friday)
1 Paid Volunteering Day per year and opportunities to volunteer with global projects
Learning & Development opportunities
Internal mobility & career progression
Regular seasonal and cultural social events
Equity, Inclusion & Diversity initiatives which include employee business resource groups
Other Benefits Include
25 days holiday in addition to bank holidays
Annual Incentive Plan (company performance bonus)
Multi brand discount up to 50% off Coach & Kate Spade New York
Private Healthcare with health assessment (Bupa)
Private Dental Cover
Free 24/7 support for family building, fertility, maternity & newborn care, and menopause with Maven
Eyecare vouchers
Headspace subscription
Employee Assistance Program
Employer Pension Contribution
Gym discount
Interest free season ticket loan
Cycle to work scheme
Our Competencies for All Employees
Courage: Doesn’t hold back anything that needs to be said; provides current, direct, complete, and “actionable” positive and corrective feedback to others; lets people know where they stand; faces up to people problems on any person or situation (not including direct reports) quickly and directly; is not afraid to take negative action when necessary.
Creativity: Comes up with a lot of new and unique ideas; easily makes connections among previously unrelated notions; tends to be seen as original and value-added in brainstorming settings.
Customer Focus: Is dedicated to meeting the expectations and requirements of internal and external customers; gets first-hand customer information and uses it for improvements in products and services; acts with customers in mind; establishes and maintains effective relationships with customers and gains their trust and respect.
Dealing with Ambiguity: Can effectively cope with change; can shift gears comfortably; can decide and act without having the total picture; isn’t upset when things are up in the air; doesn’t have to finish things before moving on; can comfortably handle risk and uncertainty.
Drive for Results: Can be counted on to exceed goals successfully; is constantly and consistently one of the top performers; very bottom-line oriented; steadfastly pushes self and others for results.
Interpersonal Savvy: Relates well to all kinds of people, up, down, and sideways, inside and outside the organization; builds appropriate rapport; builds constructive and effective relationships; uses diplomacy and tact; can diffuse even high-tension situations comfortably.
Learning on the Fly: Learns quickly when facing new problems; a relentless and versatile learner; open to change; analyzes both successes and failures for clues to improvement; experiments and will try anything to find solutions; enjoys the challenge of unfamiliar tasks; quickly grasps the essence and the underlying structure of anything.
Tapestry, Inc. is an equal opportunity and affirmative action employer and we pride ourselves on hiring and developing the best people. All employment decisions (including recruitment, hiring, promotion, compensation, transfer, training, discipline and termination) are based on the applicant’s or employee’s qualifications as they relate to the requirements of the position under consideration. These decisions are made without regard to age, sex, sexual orientation, gender identity, genetic characteristics, race, color, creed, religion, ethnicity, national origin, alienage, citizenship, disability, marital status, military status, pregnancy, or any other legally-recognized protected basis prohibited by applicable law. Visit Tapestry, Inc. at http://www.tapestry.com/
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  • London, England, United Kingdom

Sprachkenntnisse

  • English
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