Senior Analyst

About Much Better Adventures

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.

The Role

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

How you work

• You care about getting things right. Attribution, commission and revenue numbers get subtle here, and we'd always rather take the time
• 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
• Strong multi-tasking and project skills. Working with AI means you can have several models, pipelines and changes 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, repo and tooling rather than you copying things between them
• Comfortable working independently in a remote team — organised, self-motivated and good at managing your own priorities

Technical skills

• Strong SQL and hands-on production experience with a cloud warehouse — Snowflake ideally, though BigQuery or Redshift are fine
• Solid dbt experience: incremental models, tests, macros, and a view on how a project should be structured as it grows
• Consistent data instrumentation and collection for web tracking, with hands-on Segment experience. You'd own the event schema behind our clickstream — making sure events, identifiers and campaign parameters are captured the same way across the site, because our attribution, funnel and experiment analysis all depend on it
• Confident Python. You'll be writing ingestion, orchestration and service code, not just notebooks
• Experience with a modern orchestrator — Dagster, Airflow, Prefect or similar — including the operational side: retries, backfills, freshness, and the occasional early morning
• Infrastructure-as-code and cloud fundamentals. AWS with CDK or Terraform is ideal; what matters is that you can deploy and debug your own infrastructure

Bonus points for

• dlt, or experience building ingestion from marketing and CRM APIs (they're all badly behaved in their own special ways)
• BI tooling — we use Hex, and we're moving the last of our reporting off Metabase
• TypeScript, for the infrastructure side
• 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.