Senior Product Analyst (Search & Recommendations)

Job description

Joom is a global cross-border marketplace where millions can find anything they want at fair prices. Joom helps consumers to make shopping easy and entertaining and provides access to interesting and unique goods from around the world. Joom is one of the key businesses of Joom Group, an international group of tech-centric group of e-commerce companies founded in 2016 in Latvia. Joom Group also includes other businesses: JoomPro, the first and only end-to-end cross-border B2B marketplace; JoomPulse, an AI analytics tool for Mercado Livre sellers; and Onfy, a pharmaceutical marketplace in Germany. Joom Group has offices in Latvia, China, Germany, and Brazil, with its headquarters in Lisbon, Portugal. We work as one international team, sharing knowledge and collaborating across countries, businesses and products. We are looking for a Senior Product Analyst within the “Search & Recommendations” domain, working closely with ML engineers, software developers, and product managers. You will be supported by a strong analytics team that you can tap into for complex challenges, as well as a sophisticated internal tooling stack: an in-house A/B experimentation platform, a proprietary conversational analytics tool, a suite of MCPs and AI agents for routine workflows, high-quality data in BigQuery and Spark, and a transparent ETL pipeline built with Airflow and dbt. This role is for someone who wants to be an owner of metrics and a driver of decisions within the domain: rethinking what “good search” means for us (from relevance to search success), independently uncovering insights and driving ideas all the way to production. Responsibilities Develop and maintain a hierarchy of product metrics for Search & Recommendations (ensuring they are accurate, clearly understood by the team, and truly reflect product quality) Design, launch, and interpret A/B tests; improve tooling and automation around experiment analysis Conduct product research (identify growth opportunities, answer high-level questions, and formulate hypotheses for the team) Analyze user behavior patterns and independently uncover insights that are meaningful for the product Influence goal setting and project prioritization within the team based on data Develop self-service capabilities in the domain (structure data to make it easily usable by AI tools, and automate routine analysis so the team can independently answer basic questions) Requirements Strong knowledge of mathematical statistics and hands-on experience with A/B testing Strong SQL skills and basic Python proficiency AI-native mindset: you automate your own workflows using AI and are ready to building pipelines and agents Ability to solve non-trivial problems under conditions of incomplete data Curiosity and a habit of asking the right questions (probing what lies behind a metric and not being afraid to challenge the team) Proactivity and ready to take ownership (choosing which metrics matter, where the product should evolve and which hypothesis to test next) Strong attention to detail and a habit of following through to completion Preferred Experience in search, recommendations, ML-driven products, or e-commerce Understanding of ML fundamentals Experience building AI pipelines and agents We offer Compensation package: base salary and performance-based bonuses Office-first: flexible hours with a possibility to work remotely 52 days per year Care & Wellbeing: health insurance (including dental care) for employees and their children, daily meal allowance, and 100% paid sick leave Relocation Support: full assistance for a smooth relocation for the employees and their family AI-first approach: licenses and access to a wide range of AI tools Team & Growth: collaboration with colleagues across Portugal, Brazil, Latvia and China, with opportunities for promotions, professional trainings, and English & Portuguese courses Community & Engagement: annual team building activities, knowledge-sharing workshops, and a strong sense of team work Before applying for the above position please review our Candidate Privacy Notice here . By responding to the vacancy, you acknowledge that you have read our Privacy notice.