Technical Business (Data) Analyst

ABOUT YOU You are passionate about transforming data into actionable insights and enjoy working in an environment that combines technology, collaboration, and innovation. You bring both technical and analytical expertise to support data-driven initiatives and thrive in agile, dynamic teams focused on building scalable and impactful data solutions.WHAT ARE YOU GOING TO DO * Translate business needs into functional and technical requirements for data model and pipeline development * Collaborate with engineers and architects to analyze impacts, define high-level solutions, and support delivery across data systems * Create test plans, perform functional testing, and resolve data quality issues * Maintain accurate and detailed documentation for models and operational processes * Work closely with the product owner to define backlog topics and contribute to continuous delivery in a DevOps environmentAN IDEAL PROFILE WOULD BE * Bachelor's or Master's degree in Information Science, Computer Science, or a related field * Minimum 5 years of experience as a Business Analyst with strong background in data modeling (Data Vault, Dimensional) * Proficient in SQL and data analysis with good understanding of the data engineering lifecycle and DevOps practices * Experience with Azure and Databricks preferred; familiarity with AI-ready data and Data as a Product concepts * Strong communication and collaboration skills, with knowledge of the banking domain as a plusTick all the boxes? Then smash that button and let's have a chat.ABOUT US: Levy is an international IT staffing organization providing recruitment and project resourcing services to companies ranging from start-ups to well established global players across the UK, Holland, Germany, Belgium, and the USA. By partnering with our clients, we provide tailored interim and permanent IT staffing solutions to help them deliver their initiatives across applications and infrastructure, touching areas such as Digital, Data, Cloud, Cybersecurity and ERP.