Senior Product Analyst at ASOS

London, England, United Kingdom -

Full Time

Start Date

Immediate

Expiry Date

27 Sep, 26

Salary

0.0

Posted On

29 Jun, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

SQL, Python, A/B Testing, Experimental Design, Data Visualization, Product Analytics, Statistical Analysis, Stakeholder Management, Pandas, NumPy, Power BI, Tableau, Looker, Customer Journey Analysis, KPI Ownership, Mentoring

Industry

Retail Apparel and Fashion

Description

Company Description We’re ASOS, the online retailer for fashion lovers all around the world. We exist to give our customers the confidence to be whoever they want to be, and that goes for our people too. At ASOS, you’re free to be your true self without judgement, and channel your creativity into a platform used by millions. But how are we showing up? We’re proud members of Inclusive Companies, are Disability Confident Committed and have signed the Business in the Community Race at Work Charter and we placed 8th in the Inclusive Top 50 Companies Employer list. Everyone needs some help showing up as their best self. Let our Talent team know if you need any adjustments throughout the process in whatever way works best for you. Job Description Join our Product Analytics function and play a key role in shaping the next wave of customer-facing experiences at ASOS. As a Senior Product Analyst, you’ll go beyond analysis — leading how data informs product strategy, influencing senior stakeholders, and driving measurable impact across the platform. In this role you'll own core KPIs and suggest and experiment changes that can be made on site and to commercial propositions to drive growth. You’ll lead experimentation design and analysis, delivering insight that directly shapes roadmaps and priorities. You’ll partner closely with Product Managers, UX and cross-functional teams to understand how customers use the ASOS platform, identify the highest-impact opportunities, and ensure decisions are grounded in robust, insight-led thinking. You’ll also act as a thought partner to product leadership, helping to embed a culture of experimentation, data-driven decision making, and continuous optimisation. The Role: Lead deep-dive analysis across customer funnels and journeys, identifying high-impact 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 Proactively identify growth opportunities and influence prioritisation through data-led recommendations and experiments you design Translate complex data into clear, compelling narratives tailored to both technical and non-technical audiences, including leadership Partner with Product Managers and senior stakeholders to define product strategy through data, setting clear success metrics and evaluating performance Build and evolve dashboards, reporting, and self-serve analytics capabilities to scale insight across product teams Mentor and support more junior analysts, contributing to best practice and raising the bar for analytical quality across the team Qualifications About you: Strong analytical mindset with the ability to structure ambiguous problems and translate data into actionable insight Solid grounding in statistics, including hypothesis testing and experimental design, with the ability to apply these in real-world product environments Advanced SQL skills and strong experience with Python (pandas, 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, with a focus on driving measurable improvements Strong experience with data visualisation tools (e.g. Power BI, Tableau, Looker), with an emphasis on storytelling and stakeholder impact Experience working closely with Product and influencing senior stakeholders or leadership teams Additional Information BeneFITS’ Employee discount (hello ASOS discount!) Employee sample sales 25 days paid annual leave + an extra celebration day for a special moment Discretionary bonus scheme Private medical care scheme Flexible benefits allowance - which you can choose to take as extra cash, or use towards other benefits Opportunity for personalised learning and in-the-moment experiences that enable you to thrive and excel in your role

Responsibilities

Lead deep-dive analysis of customer funnels and own the design and execution of A/B tests to drive growth. Partner with product leadership to define strategy and embed a culture of data-driven decision making.