Senior Analyst

Senior Analyst

Much Better Adventures books small-group adventure holidays run by local, independent guides in wild places around the world. We're a certified B Corp, on a mission to get more people into the world's wildest places, support the local businesses who protect them, and prove that adventure travel can be a force for good. We're a community and VC-backed scale-up in one of the fastest-growing sectors of travel, and a remote-first team coming together for annual company meet-ups.

We're building something we're genuinely excited about: a small, highly skilled, AI-first data team. We're growing quickly, and the questions the business needs answered are getting harder and more valuable as we do. Over the past two years we've built a data platform that stands up against companies many times our size — Snowflake, a rigorously tested dbt project, Hex for reporting, and clean models covering everything from marketing attribution to booking behaviour. Now we're extending the team to get much more out of it.

You'll join as Senior Analyst, reporting to the Head of Data & Analytics Engineering, 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.

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