Staff Data Analyst

Accountabilities • Own analytics across the customer-facing business, covering enterprise partners, self-service customers, API adoption, booking performance, and commercial outcomes.

• Partner closely with senior Product, Engineering, and commercial leaders to define analytical priorities, challenge assumptions, and translate business questions into data-driven decisions.

• Build, validate, and maintain reliable dbt models, data pipelines, and analytical products that consolidate fragmented data sources into consistent, trusted reporting.

• Establish standardized metrics and reporting frameworks to resolve discrepancies between dashboards and provide a reliable view of product and business performance.

• Analyze customer journeys, API usage, and booking behavior to identify friction points, uncover conversion opportunities, and improve customer activation and retention.

• Develop product analytics capabilities and introduce experimentation frameworks, including hypothesis development, experiment design, and performance measurement.

• Investigate complex marketplace data across multiple products, systems, and fragmented hotel supply networks to uncover trends, operational challenges, and growth opportunities.

• Take analytical initiatives from initial discovery and solution design through implementation, validation, and adoption, ensuring that data products deliver measurable business value.

• Use AI coding agents and automation tools to accelerate development and analysis while maintaining data quality, reliability, and technical standards.

• Operate independently in an evolving environment, prioritizing high-impact opportunities, defining solutions with limited specifications, and delivering results with minimal oversight.

• Help shape analytics practices, data standards, and ways of working as the wider data organization continues to develop.

Requirements

• Extensive experience in data analytics, analytics engineering, or a closely related discipline, with a track record of independently owning complex analytical initiatives.

• Proven experience working closely with senior Product, Engineering, or business leaders, influencing decisions through clear insights and a strong understanding of commercial priorities.

• Strong hands-on expertise in analytics engineering, including designing, developing, and validating dbt models, data pipelines, and end-to-end analytical solutions.

• Demonstrated ability to transform fragmented or complex datasets into reliable, well-structured data products that stakeholders can confidently use.

• Strong understanding of product analytics, customer behavior, conversion funnels, API adoption, and the relationship between product performance and business outcomes.

• Experience working in startups or scaleups, with the ability to navigate ambiguity, adapt to changing priorities, and deliver meaningful results in environments with limited structure.

• Practical experience using AI coding agents or AI-powered development tools to improve productivity, automate workflows, and accelerate implementation without compromising quality.

• Strong analytical thinking and problem-solving skills, with the ability to investigate complex questions, identify root causes, and turn findings into actionable recommendations.

• Excellent communication and stakeholder management skills, including the ability to challenge assumptions constructively and explain technical concepts to non-technical audiences.

• A high degree of autonomy, ownership, and accountability, combined with the ability to connect individual analytical projects to broader business and product objectives.

Nice to have:

• Experience with product analytics and experimentation, including designing experiments and evaluating their impact on customer adoption, conversion, and growth.

• Background in marketplace businesses, platform companies, travel technology, or other complex, multi-sided digital ecosystems.

• Experience consolidating data across multiple products, systems, and customer segments to establish consistent performance metrics.

• Familiarity with AI-driven product development and modern data workflows.

Benefits

• Remote and hybrid flexibility: Work remotely within the EU or choose a hybrid arrangement in Barcelona, Palma de Mallorca, Dublin, or London.

• High ownership and autonomy: Take responsibility for a major analytics function and directly influence strategic product and business decisions.

• Meaningful business impact: Build foundational analytics capabilities and see your work inform real decisions, product improvements, and commercial growth.

• Fast-paced working environment: Benefit from streamlined processes, limited bureaucracy, and the ability to move quickly from ideas to implementation.

• International collaboration: Work with distributed teams and senior stakeholders across multiple countries and functions.

• Professional growth: Help establish analytics practices and contribute to the evolution of a growing data organization.

• AI-driven innovation: Use modern AI tools and technologies to accelerate analytical development and improve operational efficiency.

• Major market opportunity: Contribute to technology that addresses complex challenges across the global travel and B2B hotel ecosystem.

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