Design, run, and improve measurement frameworks (attribution, MMM, incrementality tests, brand trackers). Use their insights to drive test-and-learn plans and guide strategic decisions on budgeting, channel mix, and retention.
Apply advanced statistical and predictive techniques, turning complex data into clear recommendations that directly influence marketing decisions to maximize CLV and reduce CAC.
Build and maintain scalable data models and pipelines in dbt, ensuring reliable, well-documented datasets that serve as the foundation for marketing analytics.
Develop and expand Looker dashboards and explores, enabling self-serve access to intuitive, actionable reporting across teams.
Partner closely with Growth Marketing, MarTech, CRM, Finance, and Analytics Engineering to ensure data quality, model accuracy, and scalable implementation of insights.
Experiment with and apply AI-driven solutions (e.g. LLMs, workflow automation) to streamline recurring tasks, rethink traditional analytics approaches, and unlock new ways to deliver business impact.
Communicate insights clearly and persuasively, driving alignment across stakeholders and ensuring data-driven decisions are widely adopted.
Requirements
2+ years in Marketing Analytics and Data Modeling, ideally in B2C acquisition and retention.
Hands-on with attribution models, MMM, incrementality testing and campaign performance analysis across digital paid channels (search, social, programmatic) and CRM. Exposure to offline/brand measurement (TV, CTV, podcast) is beneficial.
Hands-on expertise in statistical modeling and machine learning (e.g. regression, Bayesian methods, classification, clustering, forecasting), with experience in causal inference and experimentation design applied to marketing use cases such as CLV prediction, demand forecasting and pricing elasticity models.
Advanced SQL for data manipulation, Python for statistical analysis and predictive modeling, experience with dbt for data modeling and Looker (or similar BI tools) for dashboarding and reporting.
Strong ability to extract insights and connect them to CAC, CLV, and retention outcomes, guiding acquisition and retention strategies.
Skilled at distilling complex data into actionable insights for both technical and non-technical stakeholders, with experience influencing senior leaders.
Proactive, outcome-driven, and comfortable owning analyses from data pipeline to business recommendation that drives measurable business impact.
Practical experience applying AI-driven solutions such as prototyping with LLMs (e.g. Claude Code, Gemini CLI), automating workflows (e.g. LangChain, n8n), using AI-powered IDEs (e.g. Cursor) to accelerate coding and analysis, or enhancing marketing analytics processes.
Benefits
A chance to do meaningful, people-centric work with an international team of passionate professionals.
Holistic well-being with free mental health coaching sessions and yoga.
A monthly allowance to spend on an extensive range of services that you can use and roll over as flexibly as you like.
Employee stock options for all employees—because everyone deserves to benefit from the success they help to create.
30 annual vacation days and flexible working hours.
Work from abroad for up to six weeks every year. Just align with your team, and then enjoy your trip.
Plenty of opportunities to socialise as a team. In addition to internal tech meetups, our international team hosts regular get-togethers—virtually and in person when possible.
Free tax declaration filing, of course, through the Taxfix app—and internal support for all personal tax-related questions.
Have a four-legged friend in your life? We’re happy to have dogs join us in the office.
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