Senior Analytics Engineer/Digital Insights 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 Millennium, ING, Play, Edenred, Arabian Drilling, FedEx, Leroy Merlin, Truecaller, Volotea, Schmitz Cargobull, 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: The project focuses on analyzing digital sales, customer behavior, and online performance data to support business decisions and identify opportunities for commercial improvement. You will be: designing, building, and maintaining enterprise-level semantic models and analytical layers, developing advanced Power BI solutions, including complex DAX measures, data models, and performance optimization, structuring and transforming data from multiple sources using advanced SQL, translating business requirements and KPIs into reusable measures, hierarchies, and scalable semantic models, ensuring the performance, scalability, governance, and security of BI solutions, including deployment practices and Row-Level Security (RLS), collaborating closely with Data Engineers on the data foundation while taking ownership of the semantic and analytical layer, developing reusable analytical models that support multiple consumption channels, from traditional Power BI reports to AI-driven analytics, exploring and enabling new ways of consuming data through Microsoft Copilot, conversational analytics, natural-language queries, and AI-generated insights, continuously improving analytical solutions to make business data more accessible, reliable, and actionable. Your profile: professional experience in BI Development, Analytics Engineering, or a similar technical analytics role, expert-level Power BI skills, including advanced DAX, data modelling, and performance optimization, strong experience designing and maintaining enterprise semantic models, advanced SQL skills and a solid understanding of data structures and dimensional modelling, experience with Microsoft Fabric, good understanding of BI architecture, deployment, governance, security, and scalable development practices, ability to translate business requirements and KPIs into reusable measures, hierarchies, and well-structured analytical models, understanding of how semantic models can support AI-driven analytics and natural-language interaction with data, ability to collaborate effectively with Data Engineers and business stakeholders, good command of English. Work from the European Union region and a valid work permit are required. Nice to have: experience with Databricks, hands-on experience with Microsoft Copilot, AI-powered analytics, or conversational BI, experience with Snowflake, experience with Python or R, experience in e-commerce, digital sales, or web analytics. Recruitment Process: CV review – HR call – Interview – Client Interview – Decision