About the role

Product Analyst in airline sector, evaluating AI-driven applications and optimizing performance through data analysis. Collaborating with cross-functional teams to enhance user experience and revenue management.

Responsibilities

Evaluate performance: Apply rigorous quantitative frameworks to validate the integrity of AI-driven decisions and statistically isolate their impact on revenue.
Support product ideation and feature development: Participate across the full application lifecycle, from hypothesis generation and simulations to A/B testing and deployment.
Bridge technical and commercial perspectives: Translate the complexities of machine learning into actionable analyses that resonate with both technical team members and airline partners.

Quantitative foundation: A degree in economics, data science, computer science, business, or a related field.
Data skills: Proficiency in SQL to independently handle datasets and build rigorous analytical frameworks. You have the technical fluency to measure model outcomes and validate that our AI-driven decisions align with business objectives.
Applied AI intuition: An experimental mindset with exposure to prompt engineering, recommendation heuristics, and the lifecycle of data-powered applications.
Domain expertise: A strong interest in the airline industry, with emphasis on AI's impact on revenue management, pricing, or e-commerce optimization.
Entrepreneurial drive: A proactive, resourceful attitude with the ability to work with limited supervision and influence cross-functional teams.