Data Analyst with AI skills

Xebia is a global tech company with over 1,000 experts delivering cloud, data, and software solutions. Originating from two Polish companies, PGS Software and GetInData, Xebia works on projects across fintech, e-commerce, aviation, logistics, media, and fashion. Their clients include McLaren, Aviva, Deloitte, Spotify, Disney, ING, UPS, Tesco, and others. They use modern open-source stacks and are trusted partners of Databricks, dbt, Snowflake, Azure, GCP, and AWS.

• Strong ability to work independently and proactively in a fast-paced project
• Knowledgeable in advanced AI tooling for productivity, including MCP, agent skills, harness engineering (Claude code/Cursor/Codex), Worktrees
• Proven experience developing data pipelines using Python and Jupyter Notebooks
• Hands-on use of Pandas, NumPy, and DuckDB (or equivalent analytical SQL engines) for transforms, validation, and performance-conscious processing
• Familiarity with cloud environments and utilizing SDKs to extract data from various sources, including Azure, AWS, APIs, and SQL databases
• Expertise in SQL for data manipulation and creating normalized datasets from multiple systems
• Experience using BI tools to create and manage datasets and generate insightful dashboards
• Expertise in dashboard design, including the use of filters and other interactive elements for deep data analysis
• Experience with Apache Superset is a strong plus

Nice to have:

• Hands-on experience with cloud environments and containerization technologies (e.g., Docker, Kubernetes)
• Knowledge of rights management in BI tools for data security and access control
• Familiarity with parallelizing ETL processes and workflow orchestration to improve efficiency and scalability

• Leading the development of scalable ETL/analytics pipelines and customer-facing analytics from requirements through published datasets and usable dashboards for multi-tenant customer setups
• Working with stakeholders to clarify questions and metrics, map them to available ERP/operational data, and prioritize KPIs that are feasible, testable, and maintainable
• Building reliable pipelines that ingest, validate, transform, and document data into curated, analysis-ready datasets (e.g., columnar/Parquet outputs, consistent schemas) suitable for SQL-based reporting and dashboards
• Designing and implementing BI dashboards that use curated data to provide visual insights into relevant KPIs, enabling customers to filter, analyze, and interpret data with ease
• Ensuring solutions can scale across multiple customers with minimal effort, leveraging cloud infrastructure and optimizing performance where necessary

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