Staff Data Analyst

📋 Description

• Own analytics across the customer-facing business, covering enterprise partners, self-service
• Partner closely with senior Product, Engineering, and commercial leaders to define analytical
• Build, validate, and maintain reliable dbt models, data pipelines, and analytical products that
• Establish standardized metrics and reporting frameworks to resolve discrepancies between dashboards
• Analyze customer journeys, API usage, and booking behavior to identify friction points, uncover
• Develop product analytics capabilities and introduce experimentation frameworks, including

🎯 Requirements

• Extensive experience in data analytics, analytics engineering, or a closely related discipline
• Proven experience working closely with senior Product, Engineering, or business leaders
• Strong hands-on expertise in analytics engineering, including designing, developing, and validating
• Demonstrated ability to transform fragmented or complex datasets into reliable, well-structured
• Strong understanding of product analytics, customer behavior, conversion funnels, API adoption, and
• Experience working in startups or scaleups, with the ability to navigate ambiguity, adapt to

🎁 Benefits

• Remote and hybrid flexibility: Work remotely within the EU or choose a hybrid arrangement in
• High ownership and autonomy: Take responsibility for a major analytics function and directly
• Meaningful business impact: Build foundational analytics capabilities and see your work inform real
• Fast-paced working environment: Benefit from streamlined processes, limited bureaucracy, and the
• International collaboration: Work with distributed teams and senior stakeholders across multiple
• Professional growth: Help establish analytics practices and contribute to the evolution of a