Senior Marketing Data Analyst

New
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LodgifyVacation rentals
We're open to remote candidates across Europe.Full-TimeSenior
Salary not disclosed
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Job Details

Required Skills
Data modelingdbt

Requirements

  • Bring hands-on marketing analytics experience.
  • Have a strong understanding of acquisition metrics such as CAC and ROAS.
  • Have experience using experimentation, including geo-testing and incrementality testing, to evaluate marketing performance.
  • Have experience building reliable analytical datasets and data products in partnership with Data Engineering.
  • Be familiar with data modelling, event streaming, and self-service analytics tools such as dbt, RudderStack, and Omni, or comparable technologies.
  • Use sound judgement with incomplete or noisy data, including distinguishing correlation from causation.
  • Explain complex findings clearly and translate them into practical business recommendations.
  • Collaborate with stakeholders to prioritize work, communicate trade-offs, and deliver useful outcomes.

Responsibilities

  • Analyze paid search, paid social, and organic acquisition performance to identify opportunities, explain changes, and recommend actions.
  • Drive experimentation to evaluate channel impact and calibrate marketing investments.
  • Translate experiment findings into recommendations, making uncertainty and measurement limitations explicit.
  • Co-own trusted data products with Data Engineering, combining multi-channel marketing performance, web, and product telemetry.
  • Develop and improve acquisition measurement approaches using attribution and experimental evidence.
  • Partner with technical owners on tracking requirements and data validation.
  • Turn analysis into clear narratives and visualizations for marketing stakeholders.
  • Use AI tools to accelerate analysis and automate recurring reporting, with checks on accuracy and interpretation.
  • Document definitions, analytical methods, and known limitations, and work with Data Engineering to improve data reliability and self-service analytics.
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