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ASOS

Senior Product Analyst

ASOS is hiring a Senior Product Analyst in London, United Kingdom. Level rates it ; you can apply on ASOS.

Level's read on this job

  • Level rates this role Little AI ●○○○: aI is not part of the work.
  • Tools and skills the posting cites include A B Testing, Dashboards and product analytics.
  • Level classifies it as a senior role.
  • Level lists 67 other open roles at ASOS.
  • The role was posted within the past two weeks.

AI in this role

Lead product analytics and experimentation design to inform product strategy and drive platform growth.

a-b-testingdashboards
product-analyticsexperimentationdata-analysisstakeholder-management

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.

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

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

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 

How we rate this

Senior Product Analyst at ASOS rates 0 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

Product AnalyticsExperimentationData AnalysisStakeholder ManagementA B TestingDashboards

Questions you could be asked

  1. Tell me about a project where product analytics was part of your work. What did you do?
  2. Tell me about a project where experimentation was part of your work. What did you do?
  3. Tell me about a project where data analysis was part of your work. What did you do?
  4. Tell me about a project where stakeholder management was part of your work. What did you do?
  5. Walk me through how you've used A B Testing in your day-to-day work.

Adapt your resume

  • List these exact terms on your resume: Product Analytics, Experimentation, Data Analysis, Stakeholder Management, and A B Testing. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.

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