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For Companies At a Glance
- Tasks: Dive into data to understand user behaviour and boost conversions.
- Company: Join a leading media group transforming its digital landscape.
- Benefits: Enjoy remote work, competitive salary, and a collaborative culture.
- Other info: Rare office days in London, fostering a supportive team environment.
- Why this job: Be part of exciting experimentation and make a real impact with data.
- Qualifications: Experience in analytics, strong SQL skills, and a passion for storytelling.
The predicted salary is between 36000 - 54000 £ per year.
Senior Product Analyst (Experimentation focused)
£70,000 to £80,000 plus benefits
Remote – UK based
This is an exciting opportunity to join a high‑growth, product‑led organisation where data sits at the heart of decision‑making. You will play a key role in shaping how they understand user behaviour, identify growth levers, and build experiments that drive meaningful acquisition and engagement. If you thrive in fast‑moving environments and enjoy solving complex growth problems, this role offers real impact and visibility.
The Company
They are a rapidly scaling consumer‑focused business with a strong digital product and an ambitious roadmap. Data and experimentation underpin their growth strategy, and they are committed to building a culture that values curiosity, rigour, and innovation. As they expand their community and deepen user engagement, they are investing heavily in analytics capability to unlock the next stage of growth.
The Role
In this Senior Growth Analyst role, you will work closely with product, brand, and marketing teams to uncover what truly drives sharing, referrals, and conversion. You will:
• Design and analyse experiments across product and marketing, defining metrics, ensuring statistical validity, and turning results into actionable insights.
• Run deep‑dive user behaviour analyses to understand what drives engagement, virality, and funnel movement.
• Identify new growth opportunities through patterns in cohorts, funnels, and behavioural data, helping quantify and prioritise high‑impact initiatives.
• Collaborate cross‑functionally to evaluate the impact of campaigns, events, product features, and community activity.
• Support and mentor stakeholders, enabling teams to adopt data‑driven thinking and use SQL, experimentation, and measurement best practice.
Your Skills and Experience
• Strong technical skills in SQL, with a deep understanding of experimentation, A/B testing, statistical principles, and measurement frameworks.
• Experience analysing behaviour across growth, marketing, or product environments.
• Comfortable working with funnels, cohorts, and virality mechanics.
• Skilled in data visualisation using tools such as Looker, Tableau, Mode, or similar.
• Ability to translate complex findings into clear, concise insights for both technical and non‑technical audiences.
• A growth‑oriented mindset, with curiosity, critical thinking, and a desire to move quickly while maintaining analytical rigour.
• Nice to have: experience with Python or R, cloud data warehouses, or working in a scale‑up environment.
What They Offer
• Salary between £70,000 and £80,000 depending on experience.
• Hybrid working environment and comprehensive benefits package.
• The chance to make a genuine impact on acquisition strategy and how the organisation understands its users.
• Opportunities to shape experimentation frameworks and influence product and marketing direction.
• A collaborative culture that values learning, innovation, and evidence‑driven thinking.
How to Apply
If this sounds like the right next step, apply now to find out more.
Product Analyst employer: Harnham
Contact Detail:
Harnham Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Product Analyst
✨Tip Number 1
Familiarise yourself with the company's genealogy and family tree brand. Understanding their specific products and how they engage users will help you tailor your conversations during interviews, showing that you're genuinely interested in their mission.
✨Tip Number 2
Brush up on your SQL skills, especially focusing on querying complex datasets. Being able to demonstrate your proficiency in SQL during discussions or practical assessments can set you apart from other candidates.
✨Tip Number 3
Prepare examples of past A/B tests or experiments you've conducted. Be ready to discuss the methodologies you used, the insights gained, and how those insights drove decisions, as this aligns closely with the role's responsibilities.
✨Tip Number 4
Showcase your storytelling abilities with data. Think of ways to present data visually and compellingly, as this is crucial for driving action and decision-making within cross-functional teams.
We think you need these skills to ace Product Analyst
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in analytical roles, particularly within product or growth teams. Emphasise your SQL skills and any experience with A/B testing and experimentation.
Craft a Compelling Cover Letter: In your cover letter, express your passion for data storytelling and how it can drive measurable impact. Mention specific examples of how you've used data to influence decisions in previous roles.
Showcase Your Technical Skills: Clearly outline your proficiency with SQL and any data visualisation tools you are familiar with, such as Looker, Tableau, or Power BI. Provide examples of how you've used these tools in past projects.
Highlight Collaboration Experience: Since the role involves working in cross-functional environments, include examples of how you've successfully collaborated with product, marketing, or commercial teams in your previous positions.
How to prepare for a job interview at Harnham
✨Showcase Your Analytical Skills
Be prepared to discuss your experience in analytical roles, particularly within product or growth teams. Highlight specific projects where you used SQL to analyse complex datasets and how your insights contributed to business decisions.
✨Demonstrate A/B Testing Knowledge
Since the role involves designing and analysing A/B tests, be ready to explain your approach to experimentation. Share examples of tests you've conducted, the hypotheses you formed, and the outcomes that resulted from your analyses.
✨Prepare Data Stories
Practice building compelling narratives around data. Think of a few examples where your data storytelling led to actionable insights. This will show your ability to communicate complex information clearly and effectively.
✨Emphasise Collaboration Experience
The company values cross-functional teamwork, so be sure to discuss your experiences working with different teams, such as product and marketing. Highlight how collaboration has enhanced your analytical work and led to successful outcomes.