Data Analyst (Checkout)

TL;DR

Data Analyst (Checkout): Building and optimizing data infrastructure and pipelines for a global travel subscription platform with an accent on data quality, automation, and KPI monitoring. Focus on designing scalable data models, collaborating with cross-functional teams, and leveraging AI tools to enhance analytical efficiency and decision-making.

Location: Must be based in or able to relocate to Barcelona, Spain (Hybrid model).

Company

hirify.global is the world’s leading travel subscription platform, operating five brands including eDreams, Opodo, and Liligo, powered by a proprietary AI-driven travel experience engine.

What you will do

• Build and maintain infrastructure for data extraction, transformation, and loading from diverse sources.
• Assemble complex datasets using optimal pipeline architecture to meet business requirements.
• Implement data quality monitoring processes to ensure accuracy for stakeholders.
• Create dashboards and alerts to track and monitor key business KPIs.
• Automate manual processes and optimize queries to improve system scalability.
• Collaborate with business teams to improve data models and foster data-driven decision-making.

Requirements

• Bachelor’s degree in a quantitative discipline such as Computer Science, Engineering, or Mathematics.
• Advanced knowledge of SQL and experience working with large datasets.
• Proficiency in Python and experience with data visualization tools like Looker Studio.
• Experience building and optimizing data pipelines and workflow tools like Airflow.
• Business Proficiency in English is required.
• Strong analytical, problem-solving, and communication skills.

Nice to have

• Demonstrated experience with applied AI tools like Gemini.
• Experimentation mindset with an eagerness to integrate AI-driven solutions into workflows.
• Ability to leverage AI tools to streamline processes and enhance productivity.

Culture & Benefits

• Competitive salary and performance-based bonuses.
• Hybrid work model focused on outcomes and flexibility.
• Relocation support for international candidates.
• Continuous learning opportunities including free Coursera access and leadership development.
• Equipment lifecycle program with device ownership options.
• Inclusive environment with no dress code, free office refreshments, and regular team events.