Senior Product Analyst

Posted 6 Days Ago
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London, England, GBR
Hybrid
Senior level
eCommerce • Retail
The Role
Lead product analytics to drive growth: own KPIs, design and analyze A/B tests, identify funnel improvements, build dashboards and self-serve analytics, influence product strategy, and mentor junior analysts to embed experimentation and data-driven decision making.
Summary Generated by Built In
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 

Skills Required

  • Strong analytical mindset and ability to structure ambiguous problems
  • Solid grounding in statistics including hypothesis testing and experimental design
  • Advanced SQL skills
  • Strong experience with Python (pandas, NumPy) for large-scale data analysis
  • Proven experience leading A/B testing programmes and experimentation
  • Significant experience analysing customer behaviour within digital products or e-commerce
  • Strong experience with data visualisation tools (Power BI, Tableau, Looker)
  • Experience working closely with Product and influencing senior stakeholders or leadership teams
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The Company
Birmingham
3,200 Employees
Year Founded: 2000

What We Do

We exist to give people 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 judgment, and channel your creativity into a platform used by millions. Whatever your role, asos will encourage you to be you, fulfilling your creative potential with our global reach. Push boundaries, and challenge expectations. We’re determined to succeed, so we’ll trust you to deliver. Help drive our journey to becoming the global fashion destination for 20-somethings At ASOS our 3,000+ employees are immersed in the creative worlds and have a truly entrepreneurial attitude. Our ASOSers are authentic, brave, creative and disciplined to the core and find ways to blend our passion for fashion with cutting edge technology. Sound up your street? Join us.

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