eDreams, Trading & Pricing Intern

• Monitor trading and business performance, reviewing key KPIs versus budget, previous periods and expectations to identify unusual movements, risks and opportunities.
• Analyse the drivers behind performance changes across relevant business dimensions and metrics to understand their root causes and unlock business opportunities
• Build business cases supporting pricing and trading decision-making by analysing the performance of different commercial levers and helping assess their impact on profitability, volume and customer acquisition.
• Support the preparation of recurring Trading and Business Reviews, translating complex data into clear insights, executive summaries and recommendations for broader stakeholder audiences.
• Investigate market and competition insights to understand whether performance movements are driven by internal actions or external factors such as demand, competition or other factors.

Good to have

• Bring your unique perspective, speak up, and offer disruptive solutions. You’ll have the opportunity to learn and grow while making a real impact on our team. Here’s what you need to succeed: 
• Analytical mindset (problem solving, basic statistics, attention to detail)
• Knowledge of SQL and Looker Studio is desired but not mandatory
• English proficiency
• Proactive and autonomous

Preferred Qualifications

• Experience with Applied AI Tools: Demonstrated comfort using practical AI tools such as GitHub Copilot, ChatGPT, or other AI-powered coding assistants.
• Experimentation Mindset: Curiosity and eagerness to explore, experiment with, and integrate emerging AI-driven solutions into software development workflows.
• AI-Enhanced Problem Solving: Ability to effectively leverage AI tools to debug code, streamline development processes, and enhance productivity.
• Adaptability and Learning Agility: Enthusiastic about continuously learning and quickly adapting to new AI features and capabilities.
• Collaboration with AI: Experience or interest in collaborating closely with AI tools as “pair programmers” to complement traditional software development practices.