Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Lead product analytics to enhance customer experiences and drive measurable impact.
- Company: Dynamic fintech company with a strong analytical culture and rapid growth.
- Benefits: Up to £100,000 salary, equity participation, and hybrid working model.
- Other info: Exciting opportunities for growth within a scaling analytics function.
- Why this job: Shape product direction and influence core commercial outcomes in a fast-paced environment.
- Qualifications: Strong experience in product analytics, advanced SQL, and Python skills required.
The predicted salary is between 100000 - 100000 £ per year.
This is a high impact Lead Product Analyst role where you will shape how data drives product and customer experiences within a fast-paced, product-led technology business. With a strong focus on personalisation and experimentation, this role offers the chance to influence core commercial outcomes while working on a rapidly scaling international portfolio.
The Company
They are a well-established, data driven fintech operating a multi-product consumer app across lending and financial services. Known for their strong analytical culture, they have been profitable for several years and continue to grow at pace, including significant expansion into the US market. Data sits at the centre of decision making, with analytics embedded closely alongside product, engineering and growth teams.
The Role
- Operate as a senior individual contributor within the product analytics function, owning insight across key customer journeys and driving measurable impact.
- Lead product analytics for a consumer app, focusing on personalisation and customer relevance.
- Use data to determine the right product, message or experience to show each user at the right time.
- Partner closely with product managers, engineers and data scientists in a cross functional, pod based environment.
- Drive experimentation through robust AB testing and funnel analysis to improve conversion and engagement.
- Support recommendation systems and propensity models to predict customer behaviour and purchase likelihood.
- Analyse customer journeys, drop offs and lifecycle behaviour to optimise in app and push notification experiences.
- Translate complex analysis into clear commercial recommendations for senior stakeholders.
Your Skills and Experience
- Strong experience in product or growth analytics within consumer facing digital products.
- Advanced SQL and strong Python skills, with Python central to day to day analysis.
- Proven experience with experimentation, AB testing and causal analysis.
- Exposure to propensity modelling or recommendation based use cases.
- A commercial mindset with the ability to link analysis to business outcomes.
- Experience working closely with product and engineering teams in agile environments.
- Familiarity with complex, multi step customer journeys, ideally within apps or large scale consumer platforms.
What They Offer
- Salary up to £100,000.
- Equity participation.
- Hybrid working with three days per week in the London office.
- A highly visible role with real ownership and influence over product direction.
- Strong opportunities for growth within a scaling analytics function.
How to Apply
Apply now to learn more about this Lead Product Analyst opportunity and how it could fit your next career move.
Lead Product Analyst in London employer: Harnham - Data & Analytics Recruitment
Contact Detail:
Harnham - Data & Analytics Recruitment Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Product Analyst in London
✨Tip Number 1
Network like a pro! Reach out to people in the fintech space, especially those who work at companies you're interested in. A friendly chat can open doors and give you insider info that could help you stand out.
✨Tip Number 2
Prepare for interviews by diving deep into the company’s product and analytics approach. Show them you know their stuff and how you can contribute to their data-driven culture. Bring your A-game with examples of your past successes!
✨Tip Number 3
Don’t just apply and wait! Follow up on your applications through our website. A quick message expressing your enthusiasm can keep you top of mind and show you’re genuinely interested in the role.
✨Tip Number 4
Get ready to talk numbers! Be prepared to discuss your experience with SQL, Python, and any AB testing you've done. They’ll want to see how you can drive measurable impact, so have those examples ready to go!
We think you need these skills to ace Lead Product Analyst in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experience mentioned in the job description. Highlight your product analytics experience, especially with consumer-facing digital products, to show us you're the right fit for this role.
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're passionate about data-driven decision making and how you can contribute to our team. Share specific examples of how you've used data to drive product improvements in the past.
Showcase Your Technical Skills: Since advanced SQL and Python skills are crucial for this role, make sure to mention any relevant projects or experiences where you've used these tools. We want to see how you can leverage your technical expertise to impact our product analytics.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates regarding your application status.
How to prepare for a job interview at Harnham - Data & Analytics Recruitment
✨Know Your Data Inside Out
As a Lead Product Analyst, you'll be expected to have a strong grasp of data analytics. Brush up on your SQL and Python skills before the interview. Be ready to discuss how you've used data to drive product decisions in the past, and think of specific examples that showcase your analytical prowess.
✨Showcase Your Experimentation Skills
This role emphasises experimentation and A/B testing, so come prepared with examples of how you've successfully implemented these strategies. Discuss the impact of your experiments on conversion rates or user engagement, and be ready to explain your thought process behind designing those tests.
✨Understand Customer Journeys
Familiarity with complex customer journeys is key for this position. Before the interview, map out a few customer journeys from previous projects you've worked on. Be prepared to discuss how you identified drop-offs and optimised experiences, as well as how your insights led to measurable business outcomes.
✨Communicate Clearly with Stakeholders
You'll need to translate complex analyses into clear recommendations for senior stakeholders. Practice explaining your findings in simple terms, focusing on the commercial implications. Think about how you can convey your insights effectively, ensuring that even non-technical team members understand the value of your work.