About Lodgify
Lodgify is a fast-growing scale-up company leading the vacation rental industry. Backed by $30M in funding, our platform empowers property owners and managers worldwide to efficiently manage and grow their business through technology. Headquartered in sunny Barcelona, we're now a team of 380+ people representing over 60 nationalities, united by a passion for transforming the future of short-term rentals.
Responsibilities
•Analyse paid search, paid social and organic acquisition performance to identify opportunities, explain changes and recommend actions that improve acquisition efficiency.
•Drive experimentation to evaluate channel impact and help calibrate marketing investments.
•Translate findings into clear recommendations, making uncertainty and measurement limitations explicit.
•Collaborate with Data Engineering to co-own trusted data products that bring together multi-channel marketing performance, web and product telemetry into a unified source of truth.
•Develop and improve acquisition measurement approaches, combining attribution and experimental evidence to support channel-level decisions.
•Partner with technical owners on tracking requirements and data validation.
•Turn complex analysis into clear narratives and visualisations that help marketing stakeholders understand performance and act on the findings.
•Use AI tools to accelerate analysis and automate recurring reporting, while maintaining appropriate checks on accuracy and interpretation.
•Document definitions, analytical methods and known limitations.
•Work with Data Engineering to improve data reliability and make trusted acquisition insights accessible through self-service analytics.
Requirements
•Hands-on marketing analytics experience, with a strong understanding of acquisition metrics such as CAC and ROAS.
•Experience using experimentation such as geo-testing and incrementality testing to evaluate marketing performance and inform decisions.
•Experience building reliable analytical datasets and data products in partnership with Data Engineering.
•Familiarity with data modelling, event streaming and self-service analytics tools such as dbt, RudderStack and Omni—or comparable technologies.
•Sound judgement when working with incomplete or noisy data, including distinguishing correlation from causation.
•The ability to explain complex findings clearly and translate them into practical business recommendations.
•Experience collaborating with stakeholders to prioritise work, communicate trade-offs and deliver useful outcomes.
Nice to have
•Familiarity with Marketing Mix Modeling.
•Familiarity with the Vacation Rental world.
Benefits
•Part of a growing, dynamic company with a truly international team.
•The freedom to work from home any day that works for you.
•25 working days of paid vacation and Jornada Intensiva in August.
•Premium health, dental, and mental health support via Alan. Pre-existing conditions are covered.
•€150/month allowance on your Alan card + 50% off Ametller Origen prepared dishes at the office.
•Increase your take-home pay by using Flexible Remuneration for extra meal costs (up to €70/mo) and public transport (up to €136/mo).
•Table, ergonomic chair, and monitor provided for your home setup.
•Free Spanish classes.
•Cash rewards for bringing in new talent.
•Daily office breakfast and monthly team events.
•A high-energy, inclusive environment designed for collaboration and connection with a team that represents over 60 countries.
