Full-Time Senior Data Analyst – Growth (Remote within EU)

• Own Growth Analytics Initiatives: Proactively identify, scope, and deliver analytics projects that accelerate user growth, engagement, and monetization.
• Experimentation Leadership: Design, implement, and analyze A/B tests and growth experiments, rapidly iterating based on data, and driving projects from hypothesis to measurable impact.
• Actionable Product Insights: Deliver actionable recommendations for product features, onboarding flows, and personalization, tracking implementation through to business impact.
• Build & Maintain Dashboards: Develop and operationalize real-time dashboards (Power BI or similar) for core growth KPIs, ensuring stakeholders always have access to relevant and actionable data.
• Drive Execution Across Teams: Partner closely with Product Managers, Growth Marketers, and Data Product Owners to turn insights into shipped product and campaign improvements.
• Lifecycle & Cohort Analysis: Execute advanced cohort and segmentation analyses, pinpointing key growth levers and enabling precise targeting of high-value users.
• Continuous Improvement: Monitor growth initiatives post-launch, quantify impact, and iterate rapidly based on data—never satisfied with the status quo.
• Champion Data Quality: Work closely with Data Engineering and Analytics Engineering to ensure the accuracy, completeness, and usability of data assets powering growth analytics.

Requirements:

• 4+ years in product or marketing analytics for consumer web / fintech / marketplace products.
• Expert SQL and solid Python or R for adhoc modelling.
• Demonstrated ownership of an experimentation roadmap.
• Hands-on with modern warehouse stack (Databricks, dbt), PowerBI and services like Snowplow, Unleash, Posthog.
• Proven delivery of LTV/CAC models, retention curves, cohort deepdives, and monetization analyses that changed roadmaps.
• Storytelling: you translate 10krow queries into a one-slide decision for executives.
• Growth mindset: you iterate, learn quickly, and lift others through feedback and mentoring.
• Degree in a quantitative field or equivalent practical experience.

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