Data Analyst with AI skills

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. 

We are building a modern analytics and Business Intelligence solution that integrates operational data from multiple ERP systems across countries, and turns it into reliable, customer-facing insights, analytical workflows, and reusable data products.

• 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.

• strong ability to work independently and proactively in a fast-paced project,
• knowledgable 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.

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

• 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.

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