Job Description Join our growing Roland Berger AI Lab as the technical backbone for designing secure, scalable (Gen)AI systems. In this dual role, you will support both our internal transformation and client projects, guiding consulting teams
Job Description Our Analysts are vital to NielsenIQ’s success. They work every day with our client base, which includes most of the major brands you see in the supermarket. We also work with most of the
Job Description As a Strategic Analytics & Insights (SAI) Business Partner at NielsenIQ, you will be responsible for driving profitable revenue growth by expanding our portfolio of analytics solutions to clients across Portugal. This role requires
Regulatory Technician ICON is a global healthcare intelligence and clinical research organisation united by a mission to bring new medicines and treatments to patients faster. As a values-driven organisation, integrity, collaboration, agility, and inclusion are at
Job Description Our Analysts are vital to NielsenIQ’s success. They work every day with our client base, which includes most of the major brands you see in the supermarket. We also work with most of the
Workforce Data Specialist (French Speaker) Location: Lisbon, Portugal Working Pattern: Hybrid (minimum 3 days per week on-site) Join AstraZeneca – Empowering People Through Data At AstraZeneca, patients are at the heart of every decision we make.
Job Description About the role: We are looking for a Senior Consultant with experience in Revenue Growth Management (RGM) or Category Management within the FMCG sector. You will work with leading FMCG manufacturers, supporting key decisions
Company Description The very rapid development of e-commerce today gives access to thousands of information. These data are difficult to exploit by companies, which then have difficulty choosing the right levers of action and measuring their
Company Description At NIQ Digital shelf, scraping isn’t just about collecting data, it’s about outsmarting the obstacles that stand in the way of visibility. Every day, we process tens of billions of data points from thousands