Senior Product Analyst

Team: Product Analytics

Location: Remote, United Kingdom

Commitment: Full-time

Workplace Type: remote

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

What youll actually be doing

• Own the growth analytics for our new member revenue squads - acquisition funnel, conversion, product usage, the works - and build a picture of whats actually driving (or blocking) that journey.
• 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 on the product itself - page layouts, signup flows, onboarding journey - end-to-end from hypothesis through to decision-ready insight. Set the standard for how experimentation works across the product 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 comfortable person saying I dont think thats 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 were looking for

• Solid product 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. Youre not reaching for documentation for standard analytical patterns. dbt experience is a genuine plus
• Good understanding of user event tracking (Segment, Amplitude, Mixpanel, or similar) - youre comfortable defining new events to support release of new product features, and to enable future analysis and reporting.
• 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 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 isnt just an analytics role. We want someone who generates ideas, not just validates them

Nice to have

• Python or R for more advanced modelling or automation
• Experience integrating AI tools into analytical workflows in a way thats actually made a difference

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

We know this isnt what youd see in most job ads - but TrustedHousesitters isnt most companies.



Trust, transparency, and honest feedback arent just things we say; theyre genuinely how we operate, every day. So rather than leaving you guessing if things dont work out, wed rather give you what you need to make a great decision upfront about whether this opportunity is right for you.

 

With that in mind, here are a few things worth considering before you hit apply.

 

Youre most comfortable when the question is handed to you. This role needs someone who goes looking for the question. If your best work tends to happen when a stakeholder has defined the problem clearly, and youre building the analysis to answer it - thats a genuinely valuable skill, just not quite the shape of this one.

 

You think of experimentation as a process to follow, not a discipline to own. Were not looking for someone who can run an A/B test to spec. Were looking for someone wholl push back when the experiment is designed badly, mentor others through the parts they get wrong, and build the frameworks that make the whole team better at it.

 

Youre most excited by media spend and channel strategy. This role sits inside the product, not the media plan - if deciding where ad budget goes, or building attribution and channel-mix models, is the part that lights you up, this wouldnt be the right fit on this occasion

 

Youre happiest when the business is stable, and the roadmap is fixed. THS is growing fast, and the product is evolving constantly. The analytical picture shifts. Priorities shift. Thats the job - and if predictability is important to how you do your best work, its worth naming that upfront.

 

If youre reading this and one of those points resonates, and youre sitting there thinking thats me, but I know I can make it work - wed love to hear why. Send a Cover letter. Theres a human at the heart of every decision we make here (hi!) - and well always take the time to review applications for anyone who wants to join us.

The Process

 We value your time and aim for a transparent, efficient process:

1. Intro call (~20 mins) - with the Talent team. A two-way conversation: well tell you more about the role and THS, you tell us about your background and what youre looking for

2. Hiring manager interview (~30 mins) - with the Product Analytics Lead. Covering your analytical experience, approach to experimentation, and how you think about growth problems

3. Take-home task (~1-.5 hours) - a short analytical exercise. Well share a brief in advance and give you time to work through it at your own pace

 

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