Product Analytics Lead

Do you want to join us on a journey to change the trillion dollar travel industry? We are looking for the best and brightest who share our passion for data-driven user experience.

At Vio, we believe travel should be effortless, inspiring, and fair. As one of the world’s fastest-growing independent travel tech platforms, we help millions of users compare prices across tens of booking sites to find the perfect stay at the best price. Operating globally in all major markets and regions, we are on a mission to reshape the way people discover and book accommodation through technology, transparency, and trust.

Book on Vio enables our customers to book great deals directly on Vio and is a key and growing part of our business. It includes our Accommodation Page, Checkout & Booking Management products as well as Payments & Fraud, Customer Support and Financial reporting. As the Analytics Lead you will own data & analytics for the entire business unit, contributing hands-on to some areas while leading the analysts in your team.

So this role offers high ownership and the opportunity to make a significant impact and grow.

1. Own Analytics for the Book on Vio Domain

Be the analytics and data expert for Book on Vio (BoVio), supporting decision-making across product, commercial, and operational topics.

• Partner closely with Product Managers to support the definition of OKRs, roadmaps, and priorities

• Lead and mentor a small team of Product Analysts through regular coaching, feedback, and growth support

• Support payment and fraud analytics, as well as some of our most exciting features like Deal Freeze and Split Booking

• Collaborate with the Finance team to ensure accuracy and consistency of financial data

• Work with the Customer Support team to measure performance and identify opportunities to improve operational efficiency

• Support Product Managers in commercial decisions with partners like payment service providers, fraud prevention tools, and dispute resolution services

• Communicate proactively and educate the rest of the company through insights & best practices

2. Hands-on support for one of the product teams in the domain

You will work closely with one of the teams, joining their sprint rituals and stand-ups.

• Perform in-depth analysis on user behaviour data to discover insights & optimise the user experience

• Design, QA, analyse, and interpret A/B tests and translate results into clear, actionable insights for product and engineering stakeholders

• Estimate the impact of product initiatives, supporting Product Managers in prioritising initiatives against expected impact

• Define tracking and build and maintain data models and dashboards using dbt and Looker

• Monitor key booking funnel metrics, proactively identify anomalies or issues, and collaborate with engineers to investigate and resolve them

The team

You will work closely with:

• Group Product Manager of the BoVio domain

• The analysts in your team

• Product Manager, UX Researcher, Designer and Engineers of the product team you support

• Head of Customer Support and Finance manager

• A horizontal analytics chapter for knowledge sharing and peer review

You will report to our Head of Analytics, Omer.

• 8+ years of hands-on experience using data to drive product and business decisions

• Experience with Online Travel Agency or e-commerce products

• Proven experience managing and developing analytics teams

• Highly analytical and data-driven, with the ability to assemble, analyse, and interpret complex data to inform decisions and communicate insights clearly

• Strong customer focus combined with solid product intuition

• Deep expertise in event tracking, advanced SQL, and building data models and dashboards using BI tools such as Looker, Tableau, or Power BI

• Strong experience designing, running, and analysing A/B experiments

• Solid understanding of statistics and practical application in product and business contexts

People we love

• You are motivated and driven to take responsibility and succeed in a start-up environment

• You are used to using data to influence decisions, not just produce reports

• You are curious, not afraid to make mistakes and willing to question the status quo

• You are…