Staff Data Analyst

Jobgether; Spain; Hybrid; EUR 90,000 - 130,000; Full time

Benefits offered by this job

Remote and hybrid flexibility (EU)

High ownership and autonomy

Meaningful business impact

Fast-paced environment

International collaboration

Professional growth

AI-driven innovation

Major market opportunity

Job summary

Jobgether is seeking a Staff Data Analyst in Spain to own analytics across a global travel marketplace. You will build data foundations, transform complex data into insights, and work with senior stakeholders to shape product priorities and growth opportunities.

You will design data models, pipelines, and analytical products end-to-end, introducing analytics capabilities and experimentation to improve adoption and conversion in a fast-moving international environment.

Qualifications

• Independent ownership of complex analytics initiatives.
• Collaborate with senior Product, Engineering, and commercial leaders to translate questions into data-driven decisions.
• Design, develop, validate dbt models and data pipelines across multiple sources.
• Establish standardized metrics and reporting frameworks for reliable product performance.
• Experience in product analytics, customer behavior, and conversion metrics.

Responsibilities

• Own analytics across the customer-facing business including enterprise partners, self-service customers, API usage, and booking performance.
• Partner with senior leaders to define analytical priorities and translate questions into data-driven decisions.
• Build, validate, and maintain dbt models and data pipelines; consolidate data sources into trusted reports.
• Establish standardized metrics, resolve discrepancies between dashboards, and provide reliable views of performance.
• Develop analytics capabilities and experimentation frameworks to understand customer behavior and growth opportunities.
• Investigate marketplace data to identify trends and operational challenges across products and systems.
• Lead analytical initiatives from discovery to adoption with measurable business value.
• Leverage AI coding agents and automation tools to accelerate development while maintaining quality.

Skills

Analytics engineering

Data analytics

Stakeholder management

dbt models

Data pipelines

Experimentation

AI coding tools

Product analytics

Analytical thinking

Tools

dbt

Job description

This position is listed on behalf of a partner company, which manages all applications and next steps. Our partner is looking for a Staff Data Analyst based in Spain.

As a Staff Data Analyst, you will take ownership of analytics across a global travel marketplace, shaping how product, engineering, and commercial teams use data to drive strategic decisions. You will be the first dedicated analytics owner for this business area, building reliable data foundations and transforming complex customer, booking, and API usage data into actionable insights. Working directly with senior stakeholders, you will influence product priorities, identify growth opportunities, and establish trusted metrics across the business. You will combine strategic thinking with hands‑on analytics engineering, developing data models, pipelines, and analytical products from concept to implementation. You will also help introduce product analytics and experimentation capabilities to better understand customer behavior and improve adoption and conversion. This is an opportunity to make a significant impact in a fast‑moving, international environment where autonomy, technical excellence, and business outcomes matter.

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.