Senior Product Analyst

Xebia is a global tech company with over 1,000 experts delivering work across cloud, data, and software. The company originated from two Polish companies, PGS Software and GetInData, and serves clients in various industries including fintech, e-commerce, aviation, logistics, media, and fashion. Xebia is a trusted partner of Databricks, dbt, Snowflake, Azure, GCP, and AWS, and was the first AWS Premier Partner in Poland.

• Experienced (3+ years) in Product Analytics, Business Analytics, or a similar role working closely with product or business stakeholders.
• Proficient in SQL and comfortable working with large-scale datasets on cloud-based platforms (Databricks is a plus).
• Skilled in defining KPIs and designing as well as maintaining event tracking solutions.
• Familiar with data visualization and reporting tools (Power BI is a strong plus).
• Highly analytical, with the ability to translate data into clear business insights and recommendations.
• Self-driven, proactive, and capable of working independently while effectively collaborating with stakeholders.
• Fluent in Polish and English (B2 level or higher).
• Practical experience using AI-powered assistants (e.g. Claude Code, GitHub Copilot, Cursor) to improve productivity, quality, or decision-making in software delivery.

Nice to have:

• Interest in and familiarity with emerging AI-driven practices (e.g. agent-based workflows, automation patterns, AI-augmented development), with a willingness to explore and experiment beyond standard approaches.
• Work from the European Union region and a work permit are required.

• Act as a key interface between Product teams and the Data organization, translating business and product needs into clear, actionable data requirements.
• Work closely with Product Managers to define, analyze, and interpret business and product metrics, ensuring data-driven decision making.
• Take ownership of event tracking by defining requirements, validating implementations, and maintaining long-term data quality and consistency.
• Collaborate with Data Engineers and Data Consultants to design and continuously improve production-ready data models.
• Analyze business performance and user behavior using SQL, Databricks, and Spark.
• Create and communicate insights through dashboards and reports (Power BI).
• Support experimentation and A/B testing by defining success metrics, validating results, and translating findings into actionable recommendations.

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