Senior Data Analyst | Milan
Pubblicato il 22-09-2026 - Oliver Bernard in Spoleto
Senior Data Analyst | MilanPronto/a a candidarsi?
Prima di farlo, si assicuri di leggere tutti i dettagli relativi a questo lavoro nella descrizione sottostante.Up to €95,000 + premio, Hybrid Working in Central Milan.We're hiring a Senior Data Analyst for a global organisation operating at the intersection of data, analytics, and AI-driven decision-making.
This is a highly influential role, sitting at the forefront of data science strategy and shaping how advanced analytics and AI are applied across complex, real-world problems.
You'll work closely with senior stakeholders and global engineering and product teams to deliver high-impact, data-driven solutions, including an AI-powered platform focused on risk and resilience.ResponsibilitiesDefine and execute a data science strategy aligned to product and business objectivesLead the design, development, and deployment of models and algorithms into productionAnalyse large, complex datasets to identify patterns and trends, translating insights into actionable product recommendationsCollaborate with global teams across product, engineering,
and analytics to deliver high-quality, scalable solutionsEstablish and uphold best practices across data science methodologies, including data preparation, model validation, and performance monitoringStay close to industry trends and emerging technologies, particularly in AI and GenAIWhat we're looking forStrong, proven experience across Data Analytics, Data Science, with exposure to Data Engineering and/or Machine LearningAbility to operate autonomously within a global, distributed organisation xysqume Solid experience selecting and applying appropriate methodologies, technologies, and techniquesHands-on experience xysqume with data querying, manipulation, and analysis, including tools such as Pandas and NumPyNice to have experience working with Generative AI tools and approachesSoftware engineering or programming experience, ideally in PythonAdvanced academic background in Computer Science, Data Science, or equivalent industry experience#J-*****-Ljbffr