Senior Marketing Data Analyst, Lodgify

• 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

Desirable

• Help shape the next stage of Lodgify’s growth by turning marketing data into smarter investment decisions
• As our Senior Marketing Data Analyst, you’ll partner with Acquisition stakeholders along with other Data peers to uncover what drives customer acquisition, test new opportunities, and influence where we invest next—seeing your insights move from analysis into action
• You'll own advanced analytics frameworks end-to-end, mentor peers, and set the standard for data quality across the marketing organisation
• Channel performance and acquisition insights: Analyse paid search, paid social and organic acquisition performance to identify opportunities, explain changes and recommend actions that improve acquisition efficiency
• Marketing experimentation: Drive experimentation to evaluate channel impact and help calibrate marketing investments. Translate findings into clear recommendations, making uncertainty and measurement limitations explicit
• Marketing data products: 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
• Attribution and measurement: 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
• Data storytelling and decision support: Turn complex analysis into clear narratives and visualisations that help marketing stakeholders understand performance and act on the findings
• AI-enabled analytics and automation: Use AI tools to accelerate analysis and automate recurring reporting, while maintaining appropriate checks on accuracy and interpretation
• Data quality and self-service: 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

• All applications and CVs must be submitted in English