Senior Data Analyst – Offers Management Platform
Are you an experienced, highly technical, and impact-driven Data Analyst who enjoys diving deep into complex systems? Do you want to work on the analytical backbone that enables the entire company to make better commercial and product decisions?
At Vio, our mission is to get every traveler the best accommodation deal, worldwide. A core enabler of this mission is our Offers Management Platform - a large-scale, complex system that determines which accommodation offers we request, store and distribute across all channels and markets.
We are looking for a Senior Data Analyst to own analytics for this platform and to partner closely with product managers and engineers to evolve and optimise it. This role is not about UI optimization - it is about understanding how the system truly works end-to-end, inventing robust experimentation and measurement frameworks, and applying causal inference to guide our decisions.
About the role
You will join a cross-functional team responsible for the Offers Management Platform, which sits at the heart of our marketplace. The system defines which offers will be requested from our suppliers, saved in our cache and further served to the end users or B2B partners and directly impacts revenue, and partner performance across the entire company.
Your role is to make this system measurable and optimise its performance.
You will work closely with backend engineers and product managers on system design decisions, define how success should be measured, and build analytical frameworks that allow us to reason about cause and effect in a highly interdependent environment.
What you will do
Own analytics for the Offers Management Platform
Develop a deep understanding of how offers are requested, saved and distributed
Translate complex system behaviour into clear metrics and models
Act as the analytical reference point for all questions related to offers system performance
Experimentation & causal inference
Design and own experimentation strategies for system-level changes where classic A/B testing is not appropriate
Apply causal inference techniques (e.g. diff-in-diff, PSM) to evaluate impact in complex, non-isolated settings
Ensure statistical excellence and clear decision-making in high-impact experiments
Product & engineering collaboration
Work closely with engineers to understand implementation details and data generation mechanisms
Influence system design to improve observability and measurability
Partner with product managers to define success criteria, trade-offs, and long-term platform strategy
Insights & enablement
Build scalable data models, dashboards, and monitoring to track system health and performance
Perform deep-dive analyses to identify inefficiencies, unintended consequences, and optimization opportunities
Clearly communicate complex findings to technical and non-technical stakeholders
Raise the analytics bar
Contribute to experimentation and causal inference best practices across the analytics chapter
Mentor other analysts and help define standards for system-level analysis
The team
You will report to Gleb - our Marketplace Analytics Lead, and work closely with:
Product managers responsible for the Offers Management Platform
Backend engineers building large-scale decision systems
Data scientists working on models and optimization
A horizontal analytics chapter for knowledge sharing and peer review
Who you are
6+ years of hands-on experience using data to drive product or platform decisions
Strong experience with experimentation, including scenarios where standard A/B testing is not enough
Solid practical knowledge of causal inference methods and when to apply them
Highly analytical and comfortable reasoning about complex, interconnected systems
Excellent SQL skills and experience building data models
Strong Python or R skills for statistical analysis
Experience working closely with engineering teams on technical systems
Able to independently lead ambiguous, high-impact analytical projects
Clear communicator who can explain complex concepts and trade-offs to stakeholders
Nice to have
Experience with marketplace, ranking, or decision systems
Exposure to large-scale backend or platform products
Experience designing experimentation infrastructure or tooling
Why join us now?
We are one of the most innovative and fastest-growing accommodation booking platforms in the world today, having grown our bookings 30x between 2017 and 2025, and catering to the needs of over 100 million unique visitors worldwide each year. We do that by harnessing the power of advanced algorithms and an innovative suite of power features and managed to overcome the corona crisis remarkably fast;
The mobile applications (iOS and Android) we launched in 2023 are already a big success, reaching 5 million installs with great customer reviews, as we are beginning to build Vio as the brand for value-seeking travellers worldwide;
We are a passionate and diverse team of tech enthusiasts and creatives with a commitment and focus on the traveler above all else - and it shows in our industry-leading TrustPilot score;
We place huge importance on rewarding our employees for the value they generate by giving Stock Appreciation Rights to all employees.
Do you want to know if Vio is the right place for you? Find out by reading about the attitude that thrives at Vio.
What we offer:
Plenty of chances to learn and grow within an open, diverse culture which promotes knowledge sharing, trust and transparency;
A great compensation package, perks and benefits (including significant stock appreciation rights);
Flexible time off (take as many holidays as you need) and a chance to work remotely;
You will be part of a highly international team that enjoys working, eating and playing together 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 dream home office;
Access to free mental health support via OpenUp.
We encourage people from all ethnic groups, genders, sexuality, ages and abilities to apply. If this job description resonates with you, we want to hear from you!
Please note: Although this role can be remote, we are only considering candidates based in GMT-2/+3 timezones to optimise team and work alignment.
Follow us on Instagram to see what life at Vio looks like.