Senior Data Analyst – Supply Analytics

Vio.com

Senior Data Analyst managing supply analytics for Vio, a fast-growing travel tech platform. Building self-serve tools and metrics to support partnerships managers' data-driven decisions.

Posted 7/14/2026full-timeAmsterdam • 🇳🇱 NetherlandsSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in data-driven decision-making, with strong capabilities in SQL, A/B testing, and building LLM-powered tools for analytics. Proven ability to manage supply performance metrics and communicate insights effectively to stakeholders.

Highest-signal resume keywords

SQL SkillsA/B TestingLLM-Based Tool DevelopmentData Model BuildingStakeholder Management

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data AnalysisPerformance Metrics OwnershipBusiness Case ConstructionStatistical AnalysisDashboard Development

Soft Skills

Excellent CommunicationEmpathy for Non-Technical StakeholdersOwnership MindsetLeadership in Ambiguous Projects

Tools & Technologies

LookerTableauLLM APIsAgent FrameworksPython

Industry Keywords

Commercial AnalyticsTravel IndustryOTAMarketplace SupplyPerformance Measurement

Tech Stack

Tools & technologies

PythonSQLTableau

About the role

Key responsibilities & impact

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

What you’ll need

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

Benefits

Comp & perks

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