Data Analyst - Growth & Marketing

Overview As a Data Analyst in Growth & Marketing, you will put data at the center of growth decisions, influencing user acquisition, engagement, retention, and monetisation. You'll partner with marketing, finance, operations, and product to translate insights into actionable recommendations.

You'll build dashboards and metrics that empower stakeholders and contribute to a scalable data mesh. Your work will advance AI-powered analytics and robust experimentation in a fast-paced environment, shaping impact across the consumer lifecycle.

Retribuzione / Benefits private health insurance for you and family Stock Option Plan relocation support professional development programs unlimited PTO hybrid working policy Responsabilità Analyze complex datasets to identify patterns across the acquisition, engagement, retention, and monetisation funnel Partner with Marketing, Finance, Operations, and Product to deliver analyses across the product lifecycle and maximise ROI Build dashboards and reports that clearly communicate insights for stakeholders and leadership Contribute to the development of a federated data layer (data mesh) via robust data models and pipelines Promote AI-powered agentic analytics workflows to accelerate self-service analytics for key stakeholders Own end-to-end testing—identification of opportunities, experiment design, and delivery of findings and recommendations Requisiti fondamentali 4 years in data-related roles (BI, Analytics, or Analytics Engineering) in high-volume or big data environments Hands-on data modelling, ETLs, and data transformation; exposure to Data Mesh is a plus Strong SQL and Git skills; experience with dbt and notebook-based analytics is a plus Analytical problem-solver comfortable with ambiguity and ownership of analytical projects Experience with data visualization tools (HEX, Looker or similar) for executive and operational reporting Ability to lead initiatives across diverse business domains and translate findings into actionable recommendations Awareness of AI tools for data analytics or automation (promotes AI-powered workflows) Knowledge of digital consumer lifecycle and unit economics (LTV, CAC, ARPU) problem-solving mindset attention to detail ownership and accountability SQL Git dbt

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