Senior Product Analyst

Xebia is a global AI-first, digital transformation, and engineering partner. With over 25 years of experience and a team of 5,000 professionals across 16 countries, we help organizations design and build scalable products, platforms, and data-driven solutions. 

We specialize in Artificial Intelligence, Data and Cloud, Intelligent Automation, and Digital Products, combining deep technical expertise with a strong focus on engineering excellence and a people-first culture.  

In the CEE region, we’re a team of nearly 1,000 experts delivering modern applications, data platforms, and AI solutions for clients such as McLaren, Aviva, Deloitte, Spotify, Disney, ING, UPS, Tesco, Truecaller, AllSaints, Volotea, Schmitz Cargobull, Allegro, InPost, and many, many more. We work with leading technologies including AWS, Azure, GCP, Databricks, and Snowflake, and combine strong engineering culture with a consulting mindset and a continuous focus on growth and knowledge sharing. 

You will be:

• providing expert analytical leadership for strategic product questions within the ML Scoring domain,
• translating complex product hypotheses into robust analytical frameworks,
•  delivering actionable recommendations for senior stakeholders,
• developing and maintaining a decision-quality analytics layer to enhance product prioritization, experimentation quality, and KPI governance.

Your profile:

• proven track record in independently delivering complex analytical projects that drive product or business decisions,
• advanced mastery of SQL, including the optimization of high-scale analytical queries and automated metric pipelines,
• proficiency in Python-based analytical workflows, ensuring reproducible and version-controlled data analysis,
• expert-level experimentation competencies, encompassing A/B testing design, statistical interpretation, and strategic recommendation framing,
• expertise in translating strategic goals into structured analytical frameworks and delivering clear, actionable conclusions to senior stakeholders,
• extensive experience in defining, validating, and governing product KPI sets to support iterative product delivery,
• proficiency in leveraging AI-assisted analysis tools while maintaining strict analytical rigor and methodology traceability,
• very good command of English, both written and spoken, enabling effective collaboration in an international and cross-functional environment,
• openness to on-site workshops max 1-3 per quarter in Warsaw.

Work from the European Union region and a work permit are required.

Nice to have:

• experience in AdTech, marketplace ranking, or recommendation analytics,
• practical experience in causal inference methods beyond standard A/B testing,
• experience mentoring analysts and setting analysis standards in multi-team environments,
• familiarity with cloud-native analytics stacks on GCP.

Recruitment Process:

CV review – HR call – Interview – Client Interview – Decision