Marketing Data Analyst

About Daytrip: Recognized as TripAdvisor Travelers' Choice since 2016 and rated 4.9 on Trustpilot, Daytrip is one of the most trusted and fastest-growing traveltech companies. We are transforming how people move between destinations and how the industry thinks about private car transfers, creating a global product loved by travelers and trusted by top travel brands.

What You'll Do:

• Build and maintain dashboards and reports that give the Marketing team a clear, shared view of performance across B2C and B2B channels.
• Run deep-dive analyses on channel performance, customer acquisition costs, conversion rates, and LTV.
• Go beyond describing what happened to understanding why, how different signals correlate, and what that means for revenue.
• Build forecasting models for Marketing: revenue projections, channel spend scenarios, seasonal demand patterns, and pipeline modelling for B2B.
• Work closely with Finance to make sure Marketing numbers are aligned and tell a consistent story.
• Enable Marketing team members to work more independently with data over time.
• Partner with campaign owners to measure the impact of initiatives, design measurement frameworks, and support post-campaign analysis.
• Work closely with our Data Engineering team, leaning on their infrastructure and collaborating to make sure the data powering your analysis is built the right way.
• Flag what matters early; if something looks off, a trend is emerging, or an insight has implications for how we are spending, you raise it without waiting to be asked.

To excel in this role, you should have:

• 5-6 years of experience in data analytics, with a meaningful portion of that working alongside or embedded in a Marketing or Growth function.
• Understanding of CAC, LTV, lead-to-customer conversion, and attribution in practice.
• Strong SQL skills and hands-on experience with BigQuery.
• Comfortable getting into raw data, building reusable models, and working confidently with large datasets.
• Proficiency in Looker or a comparable BI tool and Google Analytics.
• Curiosity about causality, not just correlation.
• Patience and collaboration skills.
• Ownership mentality; able to make progress without tight direction.
• Experience across both consumer and B2B marketing contexts.
• Familiarity with paid media platforms such as Google Ads, Meta, or Microsoft Ads.
• Basic Python for automation, modeling, or ad hoc analysis.
• Experience with forecasting or statistical modeling in a marketing context.
• Exposure to a scale-up or startup environment where data infrastructure is still maturing.

Why join Daytrip:

• You will report directly to the CMO and sit close to where marketing strategy gets made and tested.
• Your work will have a direct line to how we spend, where we grow, and how we understand our customers.
• Be part of an international team, with colleagues from 15+ nationalities.
• Flexible hybrid setup.
• A culture where people take initiative, communicate openly, and hold themselves to a high standard.