$ cat jobs/lead-data-consultant-hitachisolutions-3a1024ac02f3.json
Lead Data Consultant
Hitachi Solutions Europe is a global Digital, Data and Technology consultancy, Microsoft Solution Partner and Cloud Services partner, specialising in end-to-end transformation. As a global consultancy company working across the private and public sectors, we specialise in Dynamics 365 Business Applications, Power Platform, including Azure, Application Modernisation and Data & Analytics. Our highly skilled team help drive improvements, creating efficiency and growth within organisations. We are committed to Microsoft technologies, with a mission to revolutionise modern businesses. To achieve this we employ the best, most dedicated talent to deliver outstanding technology solutions to both our local and global clients. Be part of our Hitachi family We place value on collaboration, open communication, and transparency. We emphasise the importance of team spirit, cohesion, and appreciation. Through our talented people, innovative culture, and technical and business expertise, we deliver game changing outcomes every day. Our learning culture and flat hierarchy are our recipes for success. We are looking for a Lead Data Consultant to join us on our exciting journey and be part of our Hitachi Solutions family. This is a unique and challenging opportunity for an experienced Analytics Consultant to join the Data, Analytics & AI practice of Hitachi Solutions Portugal. In this role you will be providing bespoke and cutting-edge data and advanced analytics solutions, bringing significant commercial advantage to some of Europe’s most recognised companies. The successful candidate will draw upon their experience with data engineering and business intelligence tools and techniques to advise clients on data and analytics best practices and deliver data and analytics solutions on time and to budget. The main areas of responsibility are: Provide expert advisory services to clients on advanced analytics and data engineering best practices, ensuring delivery of scalable and efficient s
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