Senior Specialist - Product Analytics

This role partners closely with product teams to support grounded, data-informed decisions. Working with colleagues across Innovation, Strategy, Design, Development and Sourcing, the position takes ambiguous business questions, analyses complex operational and product data, and delivers clear, practical analysis that guides product and strategic priorities. The role sits within the Operational Excellence team, an entrepreneurial, dynamic and talented group focused on evolving the product organisation to new levels of effectiveness and performance.

• Work directly with product managers, strategy leads, and operations teams across Design, Development, and Sourcing to identify critical business questions and frame analytical priorities.
• Take open-ended challenges and break them down into structured, repeatable analytical frameworks.
• Write clean, efficient queries, pull and clean datasets, and model operational metrics to provide straightforward answers and clear recommendations.
• Design, build, and maintain self-serve dashboards and reports using tools such as Hex or Looker that stakeholders can rely on for day-to-day decisions.
• Proactively explore, pilot, and integrate AI and LLM-powered workflows to automate recurring analysis, synthesise unstructured product data, and enable intuitive, self-serve data exploration for non-technical stakeholders.
• Present findings clearly in concise summaries, visual dashboards, and discussion sessions, ensuring non-technical partners understand the takeaways and next steps.
• Collaborate with the Operational Excellence team to improve metric definitions, data quality, and reporting efficiency across the product organisation.

• 5+ years of hands-on experience in product analytics, business intelligence, or operational analytics.
• Degree in Business Analytics, Economics, Data Science, Statistics, Engineering, or a related field.
• Strong SQL skills for writing efficient queries and modelling relational datasets.
• Practical proficiency in Python (e.g., pandas) or R for exploratory data analysis, data manipulation, and automation.
• Hands-on familiarity with AI-assisted analytics, LLM tools/APIs, or AI features within modern data platforms to accelerate query generation, data preparation, and insight synthesis.
• Hands-on experience developing dashboards and reports in modern BI platforms (e.g., Hex, Looker, Tableau, or Power BI).
• Advanced spreadsheet modelling skills (Excel / Google Sheets).
• A proven ability to take ambiguous business questions, structure them logically, and produce reliable, data-backed recommendations.
• Comfortable presenting data to cross-functional leads and guiding discussions.

• Experience within retail, consumer goods, apparel/footwear, or tech.

• Access to personal self-care for physical and mental well-being.
• A supportive, team-oriented atmosphere.
• An environment designed for holistic development, including opportunities to stay active, learn, explore and innovate.