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For Companies At a Glance
- Tasks: Dive into user data and optimise product performance with A/B testing.
- Company: Join a data-driven subscription business focused on user engagement and retention.
- Benefits: Enjoy a £45,000 salary, remote work, and a strong learning culture.
- Why this job: Be part of a collaborative team where your ideas drive real business impact.
- Qualifications: Strong SQL skills and experience in digital product analysis are essential.
- Other info: Get in early with a growing team and shape the future of the product.
The predicted salary is between 36000 - 54000 £ per year.
DATA ANALYST – SUBSCRIPTION PRODUCT
£45,000 + STRONG L&D CULTURE
REMOTE-FIRST | LONDON HQ
A data-driven subscription business is looking for a curious and proactive Data Analyst to join their growing analytics function. You\’ll work as the embedded analyst within a cross-functional product tribe, collaborating closely with product managers, designers, and engineers to drive strategic decisions across user engagement and retention.
This is a remote-first company, but you\’ll be asked to attend occasional team days in the London office (roughly once every 2-3 months).
THE ROLE
Reporting into the Head of Data Science & Insights, you\’ll be the go-to analyst for your product tribe. This isn\’t a role where you\’ll be working off a backlog of stakeholder tickets – they\’re looking for someone who\’s naturally curious, confident in owning their analysis roadmap, and keen to surface ideas that lead to real business impact.
Your day-to-day will include:
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Deep-diving into user data to optimise free trial performance and early-stage user journeys
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Designing and analysing A/B tests to inform product development
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Building and maintaining DBT pipelines and ensuring data models are fit for purpose
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Collaborating with engineers to ensure Snowplow tracking is implemented correctly
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Partnering across product, engineering, and design to identify and drive opportunities
YOUR SKILLS
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Strong SQL skills – you\’ll be writing it every day
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A background in data analysis within a digital product environment
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Experience with experimentation (A/B testing) is a strong plus
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Experience with subscriptions or optimising user onboarding would be highly desirable
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Python skills are a nice-to-have, but not essential
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A self-starter mindset and comfortable working autonomously within a tribe model
WHAT YOU\’LL GET
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£45,000 base salary
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Excellent learning and development budget with protected time for upskilling
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Internal progression programmes and support
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Remote-first culture with flexible working
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Collaborative, high-impact team working on meaningful product challenges
PROCESS
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Introductory interview with the hiring manager
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Light case study (no data, focused on approach)
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Technical interview with two team members
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Culture interview with a stakeholder from another function
This team is in early stages of hiring, so you\’ll be getting in at the ground level with no one else currently in process.
If you\’re a data analyst looking for a strategic role within a collaborative product environment – and you want to work where your ideas genuinely shape direction – this could be the right move.
Data Analyst (Subscriptions) employer: Harnham
Contact Detail:
Harnham Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Analyst (Subscriptions)
✨Tip Number 1
Familiarise yourself with the company's subscription model and user engagement strategies. Understanding their business model will help you speak confidently about how your skills can directly impact their goals during interviews.
✨Tip Number 2
Brush up on your SQL skills, as you'll be using them daily. Consider working on sample projects or datasets that mimic the type of analysis you'd be doing in this role to showcase your practical knowledge.
✨Tip Number 3
Prepare to discuss your experience with A/B testing and experimentation. Think of specific examples where your analysis led to actionable insights, as this will demonstrate your ability to drive product decisions.
✨Tip Number 4
Network with current or former employees on platforms like LinkedIn. Engaging with them can provide valuable insights into the company culture and expectations, which you can leverage during your interviews.
We think you need these skills to ace Data Analyst (Subscriptions)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your strong SQL skills and any relevant experience in data analysis within a digital product environment. Emphasise your familiarity with A/B testing and user onboarding, as these are key aspects of the role.
Craft a Compelling Cover Letter: In your cover letter, express your curiosity and proactive mindset. Share specific examples of how you've driven strategic decisions through data analysis in previous roles, and explain why you're excited about the opportunity to work in a remote-first, collaborative environment.
Showcase Relevant Projects: If you have experience with DBT pipelines or Snowplow tracking, be sure to mention these in your application. Highlight any projects where you've optimised user journeys or contributed to product development through data insights.
Prepare for Interviews: Research common data analysis interview questions and prepare to discuss your approach to problem-solving. Be ready to talk about your experience with experimentation and how you've used data to inform product decisions in the past.
How to prepare for a job interview at Harnham
✨Showcase Your SQL Skills
Since strong SQL skills are essential for this role, be prepared to discuss your experience with SQL in detail. Bring examples of how you've used SQL to analyse data and drive decisions in previous roles.
✨Demonstrate Curiosity and Proactivity
This company values a self-starter mindset. During the interview, share instances where you took the initiative to explore data or suggest improvements that led to significant business outcomes.
✨Prepare for A/B Testing Discussions
Given the emphasis on experimentation, be ready to talk about your experience with A/B testing. Discuss specific tests you've designed, the hypotheses you formed, and the impact of the results on product development.
✨Understand the Product Tribe Model
Familiarise yourself with the concept of working within a product tribe. Be prepared to explain how you would collaborate with product managers, designers, and engineers to drive user engagement and retention effectively.