to determine the tasks required to deliver the Analytics solution. • Contribute and add value to architecture exposure would be advantageous • Markets Data Analytics project lifecycle • The Capital Markets Business
initiating and owning a value driven data and analytics portfolio of use cases within their respective creates a value driven data and analytics roadmap, prioritizing analytic use cases that bring value in entity driven use cases whilst embedding scaled analytics on strategic / execution use cases coming from ensure data literacy needs are met. Delivery of analytics - Introduce and deliver use cases that increase efficiency by leveraging successfully industrialized analytical models that exploit Nestlé's data assets, tracking
take on a challenge that merges creativity with analytics? Do you have a knack for turning data insights enhance retention campaigns using cutting-edge analytical insights, including predictive modeling. Design initiatives. Harness the power of CRM and consumer analytics to uncover hidden opportunities and drive strategic coupled with a flair for creative thinking. Strong analytical skills, with a demonstrated ability to leverage
take on a challenge that merges creativity with analytics? Do you have a knack for turning data insights enhance retention campaigns using cutting-edge analytical insights, including predictive modeling. Design initiatives. Harness the power of CRM and consumer analytics to uncover hidden opportunities and drive strategic coupled with a flair for creative thinking. Strong analytical skills, with a demonstrated ability to leverage
Engineer. The ideal candidate will have a strong analytical and mathematical background to help drive value infrastructure.
questions, employing leading, fit-for-purpose analytical methods and techniques, to provide data-driven these questions. With a big focus on Prescriptive Analytics and Predictive Modelling. ● Engage with internal ensure business context is retained when building analytical and data-driven solutions. ● Build a deep contextual
processes. Utilize Databricks to perform complex data analytics, employing both Azure and Python notebooks for Science, IT, or a related field with a strong analytical focus. Proficiency in Python, particularly in context of data manipulation and notebook-based analytics. A thorough understanding of cloud data security
team. The right candidate will manage data and analytics to enable the Procurement team to leverage procurement Production and management of procurement data and analytics, including preparation of regular performance experience in a Leadership role. Strong in data and analytics management, presentation and strategic planning
team. The right candidate will manage data and analytics to enable the Procurement team to leverage procurement Production and management of procurement data and analytics, including preparation of regular performance experience in a Leadership role. Strong in data and analytics management, presentation and strategic planning
ingestion services like Kafka, Event Hub and Stream Analytics. Experience in database query languages such as Storage Accounts (Data Lake) and / or Databricks. Analytical mind and business acumen Additional skills in frameworks. Real-Time analytics and batch processing. Strong experience in architecting analytical applications