At a Glance
- Tasks: Shape innovative customer experiences and analyse data to drive product strategy.
- Company: Join ASOS, a global fashion retailer empowering creativity and individuality.
- Benefits: Enjoy employee discounts, flexible benefits, and 25 days annual leave plus a celebration day.
- Why this job: Make a real impact in the fashion industry with data-driven insights and innovation.
- Qualifications: Strong quantitative skills, proficiency in SQL and Python, and experience in eCommerce.
- Other info: Collaborative office culture with opportunities for personal growth and development.
The predicted salary is between 36000 - 60000 ÂŁ per year.
Weâre 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, youâre free to be your true self without judgement, and channel your creativity into a platform used by millions.
Digital Product at ASOS: At ASOS, weâre proud to be a global fashion destination serving over 23 million active customers across more than 100 markets with 2.5 billion visits annually. Our Tech team is at the heart of everything we do, powering the digital experiences that make ASOS a leader in online fashion retail. We operate as a productâled organisation, where crossâfunctional teams are empowered to solve real customer problems through innovation, experimentation, and dataâdriven decisionâmaking.
The Details: A unique opportunity to be part of a key strategic programme at ASOS. You will shape new initiatives and enable capabilities to support our Digital Product team focused on building innovative customerâfacing experiences. You will be aligned to business stakeholders across the company to help define key success metrics, design and analyse experiments, perform deep customer and cohort analyses, and use modelling techniques where it enhances understanding of customer behaviour or performance trends.
- Own the definition and evolution of core product KPIs, partnering with Product Managers to shape roadmap priorities and evaluate longâterm impact.
- Conducting funnel and dropâoff analysis to identify friction points in the customer journey and areas for optimisation.
- Inform the design and analysis of A/B tests and experiments to measure the impact of new product features or experiences on conversion, engagement, and retention.
- Apply statistical modelling techniques to uncover behavioural patterns, identify key drivers of performance, and build forecasts that inform product strategy and decisionâmaking.
- Using data to optimise conversion rates, user engagement, and customer satisfaction across the ASOS platform.
- Translating data into clear, actionable insights that inform product roadmaps, design decisions, and feature prioritisation.
- Building dashboards, reports, and visualisations to communicate trends and results to both technical and nonâtechnical stakeholders.
- Act as a thought partner to Product leadership, proactively identifying opportunities to improve customer experience and drive commercial outcomes.
- Championing a dataâinformed culture, ensuring that every decision across Product is supported by evidence and measurable impact.
About You: Strong quantitative skills with a background in maths, statistics or a STEMârelated subject. Strong proficiency in SQL, Python (pandas, NumPy), and data visualisation tools (e.g., Tableau, Power BI) to build scalable analytics solutions. Experience building simple statistical models to uncover behavioural patterns, identify key drivers, and generate forecasts that support dataâinformed product decisions. Experience designing and analysing experiments and A/B tests, with a solid grasp of statistical methodologies (e.g., regression, confidence intervals, hypothesis testing). A passion for customerâcentric problem solving, with curiosity to uncover friction points and opportunities for innovation. Proven ability to define and monitor product success metrics, translating data into actionable insights that shape product strategy and roadmap decisions. Familiarity with eCommerce platforms, experimentation tools (e.g., Optimizely), and user journey analytics (e.g. Adobe, Mixpanel, Amplitude, etc.). Strong written and verbal communication skills, with the ability to present insights to senior leadership and drive strategic alignment.
An added bonus if you have: Experience working within eâcommerce or digital product environments. A basic understanding of data engineering workflows and analytics pipelines (Databricks, dbt, Apache Spark).
Our approach to working together means that ASOSers are required to be in the office at least three days per week. This enables stronger collaboration, faster decisionâmaking, and a strong team culture, while still offering the flexibility to work remotely when appropriate.
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 inâtheâmoment experiences that enable you to thrive and excel in your role.
Senior Product Analyst in City of London employer: ASOS
Contact Detail:
ASOS Recruiting Team
StudySmarter Expert Advice đ¤Ť
We think this is how you could land Senior Product Analyst in City of London
â¨Tip Number 1
Network like a pro! Reach out to current ASOS employees on LinkedIn, join relevant groups, and attend industry events. Building connections can give us insider info and maybe even a referral!
â¨Tip Number 2
Prepare for the interview by researching ASOS's latest projects and initiatives. We want to show that weâre not just interested in the role but also passionate about the companyâs mission and values.
â¨Tip Number 3
Practice common interview questions, especially those related to data analysis and product metrics. We should be ready to share our thought process and how we tackle real-world problems with data.
â¨Tip Number 4
Donât forget to follow up after the interview! A quick thank-you email can keep us fresh in their minds and show our enthusiasm for the role. Plus, itâs a great chance to reiterate why weâd be a perfect fit!
We think you need these skills to ace Senior Product Analyst in City of London
Some tips for your application đŤĄ
Be Yourself: At ASOS, we want you to show up as your true self. Donât be afraid to let your personality shine through in your application. Share your unique experiences and how they relate to the role of Senior Product Analyst.
Tailor Your Application: Make sure to customise your CV and cover letter for the Senior Product Analyst position. Highlight your quantitative skills, experience with SQL and Python, and any relevant projects that showcase your ability to solve customer-centric problems.
Show Your Passion for Data: We love data-driven decision-making at ASOS! In your application, emphasise your experience with statistical modelling and A/B testing. Give examples of how you've used data to inform product strategies or improve customer experiences.
Apply Through Our Website: We encourage you to apply directly through our website. Itâs the best way to ensure your application gets into the right hands. Plus, it shows us youâre keen on joining the ASOS family!
How to prepare for a job interview at ASOS
â¨Know Your Numbers
As a Senior Product Analyst, you'll be expected to have strong quantitative skills. Brush up on your maths and statistics knowledge, especially around A/B testing and regression analysis. Be ready to discuss how you've used data to drive product decisions in the past.
â¨Showcase Your Technical Skills
Make sure you can demonstrate your proficiency in SQL and Python during the interview. Prepare examples of how you've built analytics solutions or visualisations using tools like Tableau or Power BI. This will show that you're not just familiar with the tools, but that you can use them effectively.
â¨Understand the Customer Journey
ASOS is all about enhancing customer experiences. Be prepared to talk about how you've identified friction points in user journeys and what strategies you've implemented to optimise them. Use specific examples to illustrate your problem-solving skills and customer-centric approach.
â¨Communicate Clearly
Strong communication skills are key for this role. Practice explaining complex data insights in simple terms, as you'll need to present findings to both technical and non-technical stakeholders. Think about how you can convey your passion for data-driven decision-making in a way that resonates with the interviewers.