Senior Product Analyst

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

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