ASOS.com

product analyst for e-commerce

In short

Senior product analyst role at ASOS, an online fashion retailer, focused on driving product decisions through data. The job involves leading A/B testing programmes, analysing customer funnels and behaviour, and partnering with Product Managers and senior stakeholders to shape strategy. Requires advanced SQL, Python (pandas, NumPy), strong statistics and experimentation skills, and experience with visualisation tools like Power BI, Tableau, or Looker.

About
ASOS is an online retailer for fashion lovers around the world, operating a platform used by millions.
Responsibilities
•Lead deep-dive analysis across customer funnels and journeys to identify opportunities to improve conversion, engagement, and retention
•Own the design, execution, and evaluation of A/B tests and experimentation frameworks, ensuring statistical rigour and clear business impact
•Identify growth opportunities and influence prioritisation through data-led recommendations and designed 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 through data, set success metrics, and evaluate performance
•Build and evolve dashboards, reporting, and self-serve analytics capabilities across product teams
•Mentor and support junior analysts, contributing to best practice and analytical quality across the team
Requirements
•Structure ambiguous problems and translate data into actionable insight
•Apply statistics, hypothesis testing, and experimental design in product environments
•Advanced SQL skills and strong experience with Python, including pandas and NumPy, for large-scale data analysis
•Proven experience leading A/B testing programmes and influencing product decisions through experimentation
•Significant experience analysing customer behaviour within digital products or e-commerce platforms and driving measurable improvements
•Experience with data visualisation tools such as Power BI, Tableau, or Looker, with an emphasis on storytelling and stakeholder impact
•Experience working closely with Product and influencing senior stakeholders or leadership teams
Benefits
•Employee discount
•Employee sample sales
•25 days of paid annual leave plus an extra celebration day
•Discretionary bonus scheme
•Private medical care scheme
•Flexible benefits allowance, which can be taken as extra cash or used towards other benefits
•Personalised learning and in-the-moment development experiences

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