Senior Product Analyst
ASOS
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
- 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
- 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