Xebia
Technology
DataAnalystwithAIskills
Neural analysis suggests this role is
optimal for Mid+ candidates.
“Data Analyst with AI skills at Xebia. Skills: Data pipelines, Business Intelligence, Data products, Cloud infrastructure. Lead development of scalable ETL/analytics pipelines. Lead development of customer-facing analytics”
What You'll Achieve.
Turn data into insights; Turn data into workflows; Turn data into data products; Provide visual insights into KPIs
Industry & Context.
Root cause analysis
Work from EU region, Work permit required
What They're Looking For.
Must Have
Proven experience developing data pipelines, Hands-on use of Pandas, Hands-on use of NumPy, Hands-on use of DuckDB, Familiarity with cloud environments, Expertise in SQL, Experience using BI tools, Expertise in dashboard design
Nice to Have
Experience with Apache Superset, Hands-on experience with cloud environments, Hands-on experience with containerization technologies, Knowledge of rights management in BI tools, Familiarity with parallelizing ETL processes, Familiarity with workflow orchestration
What You'll Do.
Lead development of scalable ETL/analytics pipelines
Lead development of customer-facing analytics
Work with stakeholders to clarify questions
Map metrics to available data
Prioritize feasible KPIs
Build reliable pipelines
Generate insightful dashboards
Enable customers to filter data
Enable customers to analyze data
Ensure solutions scale across customers
Leverage cloud infrastructure
How You'll Work.
Team & Collaboration
Work with stakeholders; Cross-functional teams
Full Job Description
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. About the project: 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. You will be: 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 inte
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