Senior Product & Marketing Analyst

You'll join as Senior Product & Marketing Analyst1, reporting to the Head of Data & Analytics, and you'll be the person the business comes to with its most interesting questions. Which channels genuinely drive bookings once you account for everything we can't track directly. What makes a customer come back. Which experiments actually moved the needle, and which just looked like they did. You'll primarily cover product and marketing. This is a fully remote role for someone already based in the UK with an existing right to work here — we're not able to offer visa sponsorship for this position. We move quickly, and trust matters enormously in a remote team. We're looking for someone self-directed, who flags problems early, and who cares about getting the answer right rather than getting an answer quickly. “Do things right or not at all” is one of our values, and in this role it means being the person who says when the data doesn't support the story everyone wants to tell. What You'll Be Doing Owning the analysis that shapes product and marketing decisions — channel performance, acquisition cost, conversion, and how customers find, book and come back to us Digging into our marketing attribution models: blending click-level data with modelled credit for bookings we can't track directly, and finding the value that's still hidden in them Building and shipping your own intermediate dbt models, so your analysis isn't waiting on anyone else Owning experiment analysis end to end — helping teams size tests properly, reading results honestly, and being clear about what we can and can't conclude Building reporting in Hex that people genuinely use, and making self-serve good enough that straightforward questions answer themselves Defining and documenting the metrics the business runs on, so everyone is working from the same numbers Using AI tools throughout your work — and helping shape how a modern, AI-first data team operates How you work Outstanding communication and stakeholder management — this is the most important thing we're looking for. You'll be explaining subtle findings to people who don't work in data, building trust with teams across the business, understanding what they actually need behind what they've asked for, and pushing back when a request doesn't stand up. Being persuasive without overstating what the numbers show matters enormously here. Commercial instinct: you can take a business question, work out which numbers would actually answer it, and spot when a result looks too good to be true A track record of analysis that changed a decision, not just reporting that described one — we'd love to hear an example Strong multi-tasking and project skills. Working with AI means you can have several dashboards, models and analyses in flight at once, and that only pays off if you can keep track of them all, keep them moving, and judge when each one is finished Deeply comfortable working natively with AI. AI tools are part of how we work every day, and we'd love to hear how you already use them — where they help, where they don't, and how you check what comes back. We'd be especially interested if you've chained systems together through MCP, so an assistant like Claude or ChatGPT can work directly against your warehouse, dashboards and tickets rather than you copying things between them You thrive on the pace of a fast-growing business. Priorities move quickly, and you'd rather help shape a young function than inherit a fixed one Comfortable working independently in a remote team — organised, self-motivated and good at managing your own priorities Technical skills Excellent SQL. You'll use it every day against a warehouse with real depth to it A background in product and/or marketing analytics in a fast-growing start-up or scale-up. For marketing that means paid and organic channels, attribution, CAC and MER, and a healthy scepticism about platform-reported numbers; for product, funnels, conversion and user behaviour Hands-on with product and web analytics — you've used tools like GA4, PostHog or Amplitude, to dig into funnels, sessions and user behaviour, and you know where they can and can't be trusted Hands-on CRO analysis — sizing conversion experiments, reading the results honestly, and digging into funnel drop-off to work out what's worth testing next, on an experimentation platform such as Eppo, VWO or Optimizely. Confident building reporting and analysis in a modern BI or notebook tool — we use Hex as our core reporting layer, and you'll live in it daily. Direct Hex experience is a real plus; experience with a notebook-style tool like Mode, Deepnote or Observable, or strong dash boarding in Looker or Tableau, translates well Comfortable working with event-level clickstream data — we use Segment as our event backbone, and our attribution and funnel work is built on it. You've worked with Segment or a similar CDP/event pipeline, and you understand how event schemas and instrumentation shape what you can and can't measure dbt experience, or a real appetite to pick it up quickly. Bonus points for Python for the analysis that outgrows SQL E-commerce or travel industry experience — or marketplace and subscription businesses more broadly The warm fuzzy feeling that comes with knowing you are making a huge difference to small independent businesses, local economies, communities and conservation around the world. 38 days holiday per year (inclusive of public holidays) — to be used when you like Competitive compensation aligned with UK market benchmarks and your level of experience Flexible hours setup (40 hours p/w for full-time roles) and a fully remote company Company-wide, adventurous meet-ups Experience what we do: everyone goes on a free trip within their first year A £500 annual travel voucher to spend on a trip or trips 30% employee discount, plus 15% friends and family discount Up to 8% matched contribution pension scheme (UK employees only) Fully comprehensive AXA private healthcare scheme (UK employees only) Life Assurance (UK employees only) Continuous professional development — we're here to help you level up Budget to set up a remote working space and access to co-working spaces Supportive maternity and paternity pay: 16 weeks full pay if you're the primary caregiver, 4 weeks full pay if you're the secondary caregiver What does the typical interview process look like? Every application that makes it through is carefully read by a real member of the team. Stage 1: Screening interview (30 mins) with our People team, so we're aligned on the key requirements and expectations from both sides Stage 2: Informal video call (30 mins) with the Head of Data & Analytics Engineering Stage 3: Technical exercise and interview — we'll work through a real problem from our business rather than a brainteaser Stage 4: Two 30 minute interviews with members of our senior leadership team Salary: £60,000 – £75,000 To start as soon as possible We are an equal opportunities employer and strongly encourage applications from a diverse range of backgrounds and industries. Our flexible working arrangements are designed to support everyone in the team to achieve work/life balance in a way that works for their particular circumstance.