Senior Marketing Analyst

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. We’ve built something pretty special: a trusted place where pet owners and sitters connect to keep pets happy at home while their humans explore the world. We’ve already grown into a global community with members in over 140 countries, a product people genuinely love, and a team of more than 100 brilliant humans powering it all. But we’re only just getting started. Our goal? To grow to 1 million members and make TrustedHousesitters the world’s most-loved travel solution for pet people. At the moment, a sit starts every two minutes somewhere on the planet. We want that to be every single minute and we know the only way we’ll get there is with the right people in the right roles. The right people in the right roles will shape our future. So, here’s the big question: Could that be you? The Role We are looking for an analytical and curious Senior Marketing Analyst to join the Marketing Analytics arm of our Data team. Our aim is to drive sustainable, high-quality growth by helping marketing teams understand what’s working, what’s not, and where to invest next. In this role, you will play a critical part in shaping how we measure marketing effectiveness. You’ll help evolve our attribution and measurement framework, bringing together multiple signals into a clear point of view that supports confident decision making. You will partner closely with our Growth teams, acting as a trusted thought partner, and helping teams navigate trade-offs between scale and efficiency. Key responsibilities

Partner closely with channel leads to define learning agendas, frame the right questions, and translate insight into clear, actionable recommendations.

Design and deliver across paid media and the wider marketing mix, including campaign performance, incrementality, efficiency, and diminishing returns.

Integrate outputs from multiple measurement approaches such as experiments, cohort analysis, attribution signals, MMM into coherent, decision-led narratives for senior stakeholders.

Act as a subject-matter expert on acquisition KPIs and measurement strategy, advising on trade-offs between short-term performance and long-term value creation.

Support the day-to-day measurement needs of the New Member Revenue team, providing guidance on analysis design, interpretation, prioritisation, and next steps..

Build and promote efficient, scalable acquisition measurement processes that reduce duplicated work and increase confidence in insights across teams.

Collaborate closely with Marketing, Product, Finance, and Data partners to ensure acquisition measurement aligns with business priorities and informs planning and investment decisions.

Experience and competencies

Significant experience in marketing, media, or growth analytics within a digital, marketplace, subscription, or consumer technology business.

Strong understanding of paid media performance and buying mechanics, alongside broader acquisition levers including brand, organic, and lifecycle effects.

Hands-on experience with effectiveness and incrementality measurement approaches such as lift studies, controlled experiments, MMM, and A/B testing.

Proven ability to synthesise complex, multi-source data into clear insights that influence decisions at senior levels.

Comfortable operating in ambiguity, able to apply sound judgement when data is incomplete, noisy, or contradictory.

Flexible and open-minded, able to thrive in a fast-moving, evolving environment.

Comfortable operating as a senior individual contributor, influencing without authority and partnering closely with leadership teams.

Clear, confident communicator with strong written and verbal presentation skills.

Tools and technical skills

Strong working knowledge of SQL and experience analysing large, complex datasets.

Familiarity with analytical tools and languages such as Python or R.

Experience working with marketing and experimentation data from major digital platforms and internal data warehouses (we use Databricks).

Practical understanding of advanced measurement methodologies and their limitations in real-world decision-making.