At a Glance
- Tasks: Shape customer experiences by leading data-driven product strategies and experimentation.
- Company: Join ASOS, a dynamic leader in e-commerce with a focus on innovation.
- Benefits: Enjoy employee discounts, 25 days leave, private medical care, and flexible benefits.
- Other info: Mentor junior analysts and thrive in a culture of continuous optimisation and learning.
- Why this job: Make a real impact on product decisions and drive growth through insightful analysis.
- Qualifications: Strong analytical skills, experience with SQL and Python, and a passion for data storytelling.
The predicted salary is between 50000 - 65000 £ per year.
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.
- 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:
- 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.
Product Analyst in City of Westminster employer: We're Asos
ASOS is an exceptional employer that fosters a dynamic and innovative work culture, particularly within our Product Analytics team. With a strong emphasis on employee growth, we offer personalised learning opportunities and a supportive environment where your insights directly shape product strategy and customer experiences. Located in a vibrant setting, you'll enjoy competitive benefits including generous annual leave, private medical care, and an enticing employee discount, making ASOS a truly rewarding place to advance your career.
StudySmarter Expert Advice🤫
We think this is how you could land Product Analyst in City of Westminster
✨Get Involved in Data Science Meetups
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Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like We're Asos.
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We think you need these skills to ace Product Analyst in City of Westminster
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at We're Asos, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at We're Asos. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at We're Asos
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at We're Asos!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
