.The Atradius Group provides trade credit insurance, surety, and collections services worldwide, with a presence through 160 offices in 52 countries. The products offered by Atradius protect companies against the default risks associated with selling goods and services on credit. At Atradius, we believe in personal development and the Growth Mindset. Our culture is based on teamwork, reliable accountability, constant improvement, and unrivaled service.Department Description : Atradius IT Services (ITS) is part of the Atradius Group, responsible for all worldwide ICT services. ITS is a global operation with staff in 12 countries driving digital transformation through a wide range of services, projects, vendors, and outsourcing. Data is a key resource we need to leverage to follow our strategy successfully. Deploying the latest Big Data, Artificial Intelligence, and Machine Learning technologies to existing (and new) processes can increase efficiency and provide new market and trade insights for customers. If you feel excited by the prospect of optimizing and redesigning Atradius' processes and models to support our next generation of products and data initiatives, you are in the right place!Responsibilities :Analyze complex datasets to propose the right data modeling technique or approach based on requirements.Collaborate with Data Engineers, Data Analysts, Power BI Engineers, and Data Architects in the construction and optimization of Databricks medallion architecture layers (Silver and Gold) and sources consolidation.Own, optimize, and evolve existing data models to improve performance and accuracy.Design and implement data marts based on different consumption methodologies (Power BI, API, ML, etc.) to ensure high performance.Stay up-to-date with the latest trends and advancements in data analytics techniques and tools.Qualifications :Bachelor's degree in Computer Science, Statistics, Mathematics, or a related field.Minimum of 3 years of experience in a Data Analyst role.Ability to interpret and transform business requirements, processes, business goals, and rules into conceptual, logical, and physical database design.Strong proficiency in multiple data modeling and optimization techniques, understanding their benefits and weaknesses.Strong proficiency in SQL for data analysis and manipulation.Experience with Databricks and Spark.Strong communication skills, accustomed to working with business departments to understand data value.Fluent in spoken and written English.Must be able to work under pressure when necessary.Self-motivated and proactive in the working environment.Nice to have :Data Architecture design skills and experience in modeling enterprise data in a data warehouse or data lake.Experience working in a similar environment/sector (Financial Services).Knowledge of Databricks optimization techniques.Visualization and data modeling best practices skills in Power BI.What do we offer?A competitive salary
