Remote Senior Product Growth Analyst in Cambridge

Fully Remote (UK based) | Competitive Salary + Bonus + Generous Equity | B Corp Certified

TrustedHousesitters is a fast growing, direct-to-consumer marketplace that is redefining pet care and travel. Here at TrustedHousesitters, we’re on a mission to make travel work better for pets, for their people, and for the global community of animal lovers who look after them. We’ve got big plans on becoming the world’s most-loved travel solution for pet people.

The Role: Part analyst, part growth strategist, full owner. Fifty million people in the UK and US alone could be TrustedHousesitters members. Around forty thousand visit us every day. How we present our product, and embed trust to our prospective new members to improve conversion is one of the most interesting analytical challenges for us right now - and this role sits right in the middle of it.

You'll own the analytics for our new member revenue product squads. Own the funnel, own the experiments, own the recommendations. You'll be the person who doesn't just explain what happened in the data - you'll have a point of view on what to do about it. We're looking for someone who goes looking for the questions nobody's asked yet.

What you'll actually be doing:

• Own the growth analytics for our new member revenue squads - acquisition funnel, conversion, activation, the works - and build a picture of what's actually driving (or blocking) member growth.
• Spot opportunities in the data before anyone asks you to look. Turn them into recommendations that change what gets built, not just what gets reported.
• Lead instrumentation on new features - defining tracking, success metrics, and guardrail metrics before anything ships, not after.
• Design and run A/B and multivariate experiments end-to-end: from hypothesis through to decision-ready insight. Set the standard for how experimentation works across your squads.
• Build the dashboards and self-serve reporting that means stakeholders can answer their own questions - and you spend less time running the same queries every Monday.
• Challenge assumptions. Act as the analytical voice in the room when product and commercial decisions are being made. Be the person who's comfortable saying "I don't think that's what the data shows."
• Mentor other analysts and help raise the analytical bar across the team - in SQL, in experimentation, in how we tell a story with numbers.

What we're looking for:

• Solid product or growth analytics experience in a subscription, marketplace, SaaS, or platform business - where the funnel is complex and the metrics actually matter.
• The ability to own end-to-end analysis for a product area, from scoping through to recommendation, with minimal direction.
• Advanced SQL. You're not reaching for documentation for standard analytical patterns. dbt experience is a genuine plus.
• Solid understanding of experimentation - hypothesis design, A/B and multivariate testing, statistical significance, the places where naive analysis goes wrong. And experience applying it, not just describing it.
• Fluency in growth and product metrics: conversion, activation, churn - and how those numbers connect to things the business actually cares about.
• Strong data storytelling. You can explain what the numbers mean to a product manager, and also to a CFO. Different rooms, different language, same rigour.
• Product instincts. This isn't just an analytics role. We want someone who generates ideas, not just validates them.

Nice to have:

• Experience with event tracking and CDPs - Segment, Amplitude, Mixpanel, or similar.
• Python or R for more advanced modelling or automation.
• Experience integrating AI tools into analytical workflows in a way that's actually made a difference - not just "I've used ChatGPT."

You might feel like a fish out of water if...

• You’re most comfortable when the question is handed to you.
• You think of experimentation as a process to follow, not a discipline to own.
• You’re happiest when the business is stable and the roadmap is fixed.

If you're reading this and one of those points resonates, and you're sitting there thinking "that's me, but I know I can make it work" - we'd love to hear why. Send a Cover letter.

The Process:

• Intro call (~20 mins) - with the Talent team. A two-way conversation: we'll tell you more about the role and THS, you tell us about your background and what you're looking for.
• Hiring manager interview (~30 mins) - with the Product Analytics Lead. Covering your analytical experience, approach to experimentation, and how you think about growth problems.
• Take-home task (~1-.5 hours) - a short analytical exercise. We'll share a brief in advance and give you time to work through it at your own pace.

Compensation & time off:

• 25 days off per year, plus bank holidays and festive closure between Christmas and New Year (36 days + Christmas Day for some roles).
• Competitive salary which is reviewed twice a year.
• Generous equity package.
• Discretionary 10% quarterly bonus scheme, distributed quarterly.
• Pension scheme: 5% from you as an employee and 3% from TrustedHousesitters.
• £500 recruitment referral bonus.

If you're ready to join us on our mission to become the most loved pet travel solution, we'd love to hear from you! In your application, please feel free to note which pronouns you use (For example- she/her/hers, he/him/his, they/them/theirs, etc).

At the heart of our team are a mix of diverse backgrounds. Here at TrustedHousesitters, we’re committed to the equal opportunities policy throughout the interview process and selection. Offers of employment into TrustedHousesitters are based solely on individual merit, qualifications, and the person's professional suitability.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.