Senior Data Analyst - Supply Analytics

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior Data Analyst - Supply Analytics based in Netherlands.

This is a high-impact analytics role focused on transforming complex marketplace data into insights, tools, and strategies that drive commercial decisions. You will become the analytical backbone of the supply function, helping teams understand partner performance and identify growth opportunities. The role combines advanced analytics, business thinking, stakeholder collaboration, and the development of scalable self-service solutions. You will work closely with supply, product, and engineering teams to improve decision-making across a global travel marketplace. Your work will directly influence supplier relationships, commercial negotiations, marketplace performance, and long-term business strategy. This position offers significant ownership, the opportunity to build innovative data solutions, and the chance to shape how analytics is used across the organisation.

Accountabilities:: Own and define supply performance metrics, including bookings, revenue performance, commission rates, availability, pricing competitiveness, and supplier reliability.

Monitor and analyse changes in supply performance, proactively identifying trends, risks, and opportunities before they impact business outcomes.

Build self-service dashboards, reports, and analytical tools that enable commercial teams to independently answer key business questions.

Develop LLM-powered analytics tools and workflows by creating reliable metric definitions, validated queries, and domain-specific knowledge systems that improve stakeholder access to data.

Standardise how supplier performance is measured, communicated, and used in internal decision-making and external partner discussions.

Create business cases and commercial models to support negotiations, partnership strategies, integration prioritisation, and investment decisions.

Design and evaluate experiments, including A/B tests, to measure the impact of supply-side changes and provide actionable recommendations.

Partner with supply managers, product teams, engineers, and analytics colleagues to translate business challenges into data-driven solutions.

Share knowledge, improve analytical practices, and contribute to raising the overall analytics maturity of the organisation.

Independently lead complex analytical projects from problem definition through implementation and communication of results.

Requirements:

4+ years of hands-on experience using data analytics to influence commercial, product, or business decisions.

Strong ownership mindset with experience managing metrics, reporting frameworks, or analytical domains end-to-end.

Advanced SQL skills and experience building data models, dashboards, and analytical solutions using tools such as Looker, Tableau, or similar platforms.

Experience creating self-service tools and reports designed for non-technical stakeholders, with a strong focus on usability and business impact.

Ability to build business cases, evaluate opportunities, model scenarios, and communicate clear recommendations.

Working knowledge of experimentation methodologies, A/B testing, and basic statistical analysis.

Strong communication and stakeholder management skills, with experience collaborating across business and technical teams.

Ability to independently manage ambiguous, high-impact projects and deliver actionable insights.

Experience building LLM-based analytics tools, such as AI agents, assistants, text-to-SQL workflows, or prompt-based data solutions, or a strong motivation to develop these capabilities.

Experience with Python for analysis and automation is a plus.

Previous experience in travel, online marketplaces, supply analytics, commercial analytics, or partner management environments is highly desirable.

Familiarity with LLM APIs, agent frameworks, or AI workflow tools is considered an advantage.

Benefits:

Competitive compensation package with additional stock appreciation opportunities.

Flexible remote working options within compatible time zones.

Opportunity to work in a fast-growing global technology environment.

Significant ownership and autonomy in shaping analytics processes and business decisions.

Access to learning and professional growth opportunities within an open and collaborative culture.

International team environment with opportunities to work from modern office facilities.

Flexible time off policy supporting work-life balance.

Home office budget to support an effective remote setup.

Catered lunches, quality coffee, team gatherings, and company events.

Access to mental health support resources.

Opportunity to contribute to a product used by millions of travellers worldwide.

How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best!  Why Apply Through Jobgether?    Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.     #LI-CL1