IT & Software

Senior Product Analyst

ASOS

London · Greater London · United Kingdom

Overview

In this role you will shape product strategy by turning data into actionable insights. You’ll partner with product, UX and leadership to identify high-impact opportunities, lead rigorous experimentation, and drive growth across the ASOS platform. You’ll own key KPIs and build scalable analytics that inform roadmaps, while mentoring others and promoting a culture of data-driven decision making.

Pay / Benefits
  • Employee discount
  • Employee sample sales
  • 25 days paid annual leave + extra celebration day
  • Discretionary bonus scheme
  • Private medical care scheme
  • Flexible benefits allowance
Responsibilities
  • Lead deep-dive analysis across customer funnels to identify opportunities for conversion, engagement and retention
  • Own the design, execution and evaluation of A/B tests and experimentation frameworks with statistical rigor
  • Proactively identify growth opportunities and influence prioritisation through data-driven recommendations and experiments
  • Translate complex data into clear narratives for technical and non-technical audiences, including leadership
  • Partner with Product Managers and senior stakeholders to define product strategy with clear success metrics
  • Build and evolve dashboards, reporting, and self-serve analytics to scale insights across product teams
  • Mentor and support junior analysts, contributing to best practices and analytical quality across the team
Key requirements
  • Strong analytical mindset and ability to structure ambiguous problems
  • Solid grounding in statistics, hypothesis testing and experimental design
  • Advanced SQL skills and Python (pandas, NumPy) for large-scale data analysis
  • Proven experience leading A/B testing programmes and influencing product decisions
  • Significant experience analyzing customer behaviour within digital/e-commerce platforms
  • Strong experience with data visualization tools (Power BI, Tableau, Looker)
  • Experience working closely with Product and influencing senior stakeholders or leadership teams
  • stakeholder management
  • communication and storytelling
  • mentoring and leadership
  • SQL
  • Python (pandas, NumPy)
  • A/B testing and experimentation

Reference: WJ-747_30869651

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