Senior Marketing Data Analyst

About the role

Join our Marketing Analytics team as a Data Analyst, where your mission is to transform data into strategies that fuel growth. You'll apply advanced analytics and AI to influence CLV, CAC, and revenue outcomes.

What you'll do

• 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.
• Partner closely with Growth Marketing, MarTech, CRM, Finance, and Analytics Engineering to ensure data quality, model accuracy, and scalable implementation of insights.
• Translate analytical findings into compelling narratives, dashboards, notebooks, decks, and recommendations, that drive decisions across Marketing.
• Communicate insights clearly and persuasively, driving alignment across stakeholders and ensuring data-driven decisions are widely adopted.
• Build and utilize AI-native analytics workflows (e.g. agentic data exploration, LLM-assisted causal analysis) and bring them into team practice.

What you'll need

• 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.
• 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.
• Advanced SQL for data manipulation, Python for statistical analysis and predictive modeling, experience with dbt for data modeling and Looker (or similar BI tools).
• 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, automating workflows, using AI-powered IDEs to accelerate coding and analysis.

What they offer

• Free mental health coaching sessions and yoga.
• Monthly allowance for services, flexible and rollover-friendly.
• Employee stock options for all employees.
• 30 annual vacation days and flexible working hours.
• Work from abroad for up to six weeks every year.
• Free tax declaration filing through Taxfix app.