.ABOUT US Hostelworld Group, the global hostel-focussed online booking platform, inspires adventurous minds to meet the world and come back with life-changing stories to tell. Our customers are not your average tourists, they crave cultural connection and unique experiences that we make possible by providing an unbeatable selection of hostels in unmissable locations – all in the palm of their hand. It is the social nature and community feel of hostels and their environment, that enable travellers to embrace journeys of discovery, adventure and meaning. We have more than 13 million reviews across 17,800 hostels in more than 179 countries, making the brand the leading online hub for social travel. The website operates in 19 different languages and our mobile app in 13 languages. Founded in 1999 and headquartered in Dublin, Hostelworld has a growing, high-calibre team of 230 people within Technology, Product, Global Markets, HR, Finance & Legal and Marketing Teams across our Dublin, London, Porto, Shanghai and Sydney offices. Hostelworld is listed on the London Stock Exchange and Dublin Euronext. You can read more about our story here. LOCATION This role is based in Portugal. We have an office hub in Porto available for those who prefer a hybrid model where you can spend time with colleagues in-person. You will need to be able to commute to our office hub as required from time to time. WHO YOU'LL WORK WITH We have a matrixed structure here at Hostelworld; with Growth teams comprising of people across Technology, Product, Marketing and Analytics & Insights (A&I) – all working towards one common goal with aligned objectives. This role sits in the Customer Analytics Team reporting to the Head of Customer Analytics. We are looking for a seasoned Senior Product Analyst with a strong focus on data-driven product enhancements and a background in machine learning. The ideal candidate will work closely with our machine learning team to optimise and innovate our recommender systems that enhance user experiences by personalising search results and social connections within our platform. This role is suited for someone with a robust analytical background, experience in ML systems, and a passion for leveraging big data to drive product success in the travel industry.. You will be working with best in class technology and within a wider motivated team of data analysts, engineers and scientists. Our core data stack: Front End Tracking: Google Analytics CDP: Segment CRM: Iterable Data Storage: GCP & Snowflake Data Visualisation and Usage: Tableau, Snowflake, Vertex AI Orchestration: Airflow Transformation: DBT Synching data: Fivetran, Hightouch, Twilio Segment WHAT YOU'LL DO Collaborate with machine learning engineers and data scientists to define and refine metrics for evaluating the performance and success of recommender systems. Utilise predictive analytics to understand customer preferences and enhance recommendation algorithms