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For Companies At a Glance
- Tasks: Lead product data analytics, design experiments, and generate insights to drive decisions.
- Company: Join a top online marketplace in beauty and wellness, rapidly expanding across Europe.
- Benefits: Enjoy a competitive salary, flexible office days, and opportunities for career progression.
- Why this job: Shape the future of product analytics and influence key business decisions in a dynamic environment.
- Qualifications: Experience in product analytics, A/B testing, SQL, and strong communication skills required.
- Other info: This role does not offer VISA sponsorship.
The predicted salary is between 42000 - 56000 £ per year.
Salary: up to £70k
Location: Farringdon (3 office days/week)
Industry: Marketplace / Beauty / Wellness
About the company
Join one of Europe's largest and fastest-growing online marketplaces and SaaS platforms for the beauty and wellness industry. With major hubs in the UK, Germany and Netherlands, this company is rapidly expanding its global presence and strengthening its position as a market leader.
About the role
You will be the first dedicated Product Data Analyst in the business, working in a larger Analytics function. This is a senior role where you will be shaping the Product Data Analytics function and have a progression route into leadership as the function expands.
Core Responsibilities
- Design & run the “test-and-learn” programme: experiment strategy, tooling, and robust A/B test analysis
- Evangelise best practices: mentor teams in experimentation and analytics frameworks
- Oversee product tracking (Mixpanel + CDP), ensuring clean, consistent event instrumentation
- Generate actionable behavioural insights to guide product decisions
- Collaborate across Product, Engineering & Finance: opportunity sizing, backlog prioritisation, and stakeholder alignment
- Present findings to senior stakeholders and influence decision-making
Key requirements:
- Significant experience in product analytics, preferably in a two-sided marketplace
- Strong expertise in A/B testing, experimentation and causal inference - ideally using GrowthBook
- Extensive experience with Mixpanel
- Proficient in SQL (Redshift), as well as Python or R
- Solid statistical grounding and practical experience
- Experience with Looker or other visualisation platforms
- Skilled in opportunity sizing and financial collaboration
- Excellent communicator, able to simplify complex data and influence stakeholders
- Coaching mindset, with ability to foster a data-driven culture
- STEM/quantitative degree is highly desirable
Please note: unfortunately, this role does not offer VISA sponsorship.
Senior Product (Data) Analyst employer: Wave Talent
Contact Detail:
Wave Talent Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Product (Data) Analyst
✨Tip Number 1
Familiarise yourself with the specific tools mentioned in the job description, such as Mixpanel and GrowthBook. Having hands-on experience or even completing relevant online courses can give you a significant edge during interviews.
✨Tip Number 2
Prepare to discuss your previous experiences with A/B testing and experimentation. Be ready to share specific examples of how your insights influenced product decisions, as this will demonstrate your ability to drive results.
✨Tip Number 3
Network with professionals in the beauty and wellness industry, especially those who work in analytics roles. Engaging with them on platforms like LinkedIn can provide valuable insights and potentially lead to referrals.
✨Tip Number 4
Showcase your communication skills by preparing to explain complex data concepts in simple terms. This is crucial for influencing stakeholders, so practice articulating your thoughts clearly and confidently.
We think you need these skills to ace Senior Product (Data) Analyst
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in product analytics, A/B testing, and any specific tools mentioned in the job description, such as Mixpanel and SQL. Use keywords from the job listing to ensure your application stands out.
Craft a Compelling Cover Letter: In your cover letter, explain why you are passionate about the beauty and wellness industry and how your skills align with the company's goals. Mention your experience in mentoring teams and fostering a data-driven culture, as these are key aspects of the role.
Showcase Your Analytical Skills: Provide examples of past projects where you successfully implemented A/B testing or generated actionable insights that influenced product decisions. This will demonstrate your ability to handle the responsibilities outlined in the job description.
Prepare for Potential Questions: Think about how you would explain complex data insights to non-technical stakeholders. Be ready to discuss your experience with collaboration across different teams, as this is crucial for the role. Practising your responses can help you feel more confident during interviews.
How to prepare for a job interview at Wave Talent
✨Showcase Your Analytical Skills
As a Senior Product Data Analyst, you'll need to demonstrate your expertise in product analytics. Be prepared to discuss specific projects where you've successfully implemented A/B testing and how your insights influenced product decisions.
✨Familiarise Yourself with Tools
Make sure you have a solid understanding of Mixpanel, SQL, and any other tools mentioned in the job description. You might be asked to solve a problem or analyse data on the spot, so brush up on your technical skills before the interview.
✨Prepare for Stakeholder Interaction
Since you'll be presenting findings to senior stakeholders, practice simplifying complex data into clear, actionable insights. Think of examples where you've successfully communicated data-driven recommendations and influenced decision-making.
✨Emphasise Your Coaching Mindset
This role requires a coaching mindset to foster a data-driven culture. Be ready to share experiences where you've mentored others in analytics or experimentation frameworks, highlighting your ability to evangelise best practices.
