Job Description

Job Your role Are you an analytic thinker Do you know how to develop innovative solutions We\'re looking for someone like that who can: .turn data into an asset across the organization using visualization and other techniques .collaborate across business units, providing thought leadership and driving day-to-day implementation of the analytics strategy .advise on potential analytical approaches to business needs, including associated costs and trade-offs, and recommendations .design, coordinate, and implement analytical business and technology solutions to support innovation initiatives .effectively use data science toolkits and related visualization technologies to deliver quality analytics and data insight to our stakeholders .stay on top of current business and industry trends and best practices around data science tools and techniques Join us At UBS, we embrace flexible ways of working when the role permits. We offer different working arrangements like part-time, job-sharing and hybrid (office and home) working. Our purpose-led culture and global infrastructure help us connect, collaborate, and work together in agile ways to meet all our business needs. From gaining new experiences in different roles to acquiring fresh knowledge and skills, we know that great work is never done alone. We know that it\'s our people, with their unique backgrounds, skills, experience levels and interests, who drive our ongoing success. Together we\'re more than ourselves. Ready to be part of #teamUBS and make an impact Disclaimer/Policy Statements UBS is an Equal Opportunity Employer. We respect and seek to empower each individual and support the diverse cultures, perspectives, skills and experiences within our workforce. Your team You\'ll be working in the Reporting & Analytics Services (RAS) Center of Excellence. We are a central reporting and management information service for UBS, and support a variety of functions and projects across the Corporate Center and other UBS divisions. You\'ll be engaging with analytics projects and functional stakeholders, end users, and colleagues across RAS globally in a number of locations. Your expertise .a university degree in an analytical field like engineering, mathematics, accounting, finance or information technology .proven data science/statistics background, with the ability to collect and analyze large datasets and draw appropriate conclusions (using Python and/or R) .proven experience with Machine Learning modelling techniques .experience in leading data visualisation / business intelligence technologies (e.g. mainly Power BI, but Tableau or MicroStrategy would be an advantage) .experience in data querying technologies (SQL) .desirable: Enterprise data platforms e.g. Oracle, Spark, Alteryx etc .desirable: Financial Services analytics experience .comfortable working with data across a range of sources, shapes and s, and you are confident turning this into quality information .an adept project manager, with the ability to manage multiple, concurrent projects (juggling comes naturally to you) .a strong communicator, from making presentations to technical writing .proactive and self-driven #LI-SS1

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