Senior Data Analyst – Supply Analytics

Role Overview

• Own supply performance metrics
• Define, own and monitor the KPIs of each supply partner: bookings, GBV, commission rates, availability, price competitiveness, cancellation behaviour
• Be the go-to person for what changed in supply performance and why
• Detect and diagnose performance shifts proactively, before partners or leadership ask
• Build tools for partnerships managers
• Design and build self-serve dashboards, reports and analytical tools that partnerships managers use in day-to-day provider management and negotiations
• Build LLM-powered self-serve tools
• we believe LLM agents are the right interface for partnerships managers to answer their own data questions, and this role is expected to develop the skills to build them properly: encoding metric definitions, vetted queries and domain knowledge into agent skills so the answers are trustworthy
• Standardise how provider performance is measured and communicated, internally and with partners
• Reduce repetitive ad-hoc requests by productising the most common analyses
• Build business cases and scenarios for commercial negotiations: commission tiers, rate access, new feed types, throttling and traffic allocation
• Support prioritisation of new provider integrations with sizing and opportunity analysis
• Help leadership shape the long-term supply strategy with data on inventory strengths, weaknesses and trends
• Design and run A/B tests for supply-side changes (e.g. enabling a new feed, changing provider configuration) and communicate results and recommendations clearly
• Know when a simple test is enough and when a question needs a different measurement approach
• Share knowledge with other analysts and contribute to best practices across the analytics chapter

Requirements

• 4+ years of hands-on experience using data to drive commercial or product decisions
• Strong ownership mindset: you have owned metrics, reporting or a business domain end-to-end before
• Excellent SQL skills and experience building data models and dashboards (Looker, Tableau or similar)
• Experience building tools or reports for non-technical stakeholders, and the empathy to make them genuinely usable
• Comfortable constructing business cases: sizing opportunities, modelling scenarios, making a clear recommendation
• Working knowledge of A/B testing and basic statistics
• Excellent communicator, experienced in managing internal (and ideally external) stakeholder relationships
• Able to independently lead ambiguous, high-impact analytical projects
• Experience building LLM-based tools for data work (agents, assistants, text-to-SQL, prompt-engineered workflows) or, at minimum, a genuine desire and demonstrated initiative to develop this skill set; we see LLMs as the right interface for stakeholder self-serve analytics and expect this role to lead that
• Nice to have: Experience in travel, OTA, or marketplace supply/commercial analytics
• Nice to have: Python for analysis and automation
• Nice to have: Experience supporting commercial negotiations with data
• Nice to have: Experience with agent frameworks or LLM APIs (e.g. Claude, MCP, agent skills) in an analytics context

Tech Stack

• Python
• SQL
• Tableau

Benefits

• Plenty of chances to learn and grow within an open, diverse culture that promotes knowledge sharing, trust, and transparency.
• A great compensation package, perks, and benefits – including significant stock appreciation rights.
• Flexible time off, with as many holidays as you need, and a chance to work remotely.
• You’ll be part of an international team in one of the best office locations in Amsterdam
• We value good food and offer catered lunches from various cuisines, great coffee, and the occasional barbecue in our garden.
• We enjoy getting together to celebrate our wins, with company events in Amsterdam and abroad.
• A budget for your home office
• Access to free mental health support via OpenUp