Tapestry

Senior Manager, Data Analytics

Tapestry

full-time

Posted on:

Location Type: Hybrid

Location: London • United Kingdom

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Job Level

Senior

Tech Stack

AirflowBigQueryETLPythonSQLTableau

About the role

  • 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 organization‑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 by leading AI/ML pilot projects and 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

Requirements

  • 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
Benefits
  • 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
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
SQLETLdata visualizationTableauGoogle AnalyticsBigQueryPythonRautomationAI/ML solutions
Soft Skills
storytellingcommunicationstakeholder relationshipanalytical curiositydata-driven problem solvingprioritizationinfluencingcollaborationtrainingprocess improvement