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Job Location | Delhi |
Education | Not Mentioned |
Salary | Not Disclosed |
Industry | Manufacturing |
Functional Area | Risk / Underwriting |
EmploymentType | Full-time |
The Information & Analytics (I&A) vision is to drive data intelligence throughout the organisation; powering key decisions with data, advanced analytics & AI to accelerate growth. Our teams strive to embed analytics products, solutions and services which enable the future-fit organisation and drive growth to create a better business and a better world. Not only do we want to accelerate and simplify access to relevant and accurate data, we will lead the data & analytics culture to empower employees across Unilever. Our teams build in-house, leading edge I&A capability and most of all make I&A a great place to work.The role is based in the centre of Kingston, where you have a wide selection of shops, caf s and restaurants at your fingertips. The office is home to a restaurant, a fruit and ice-cream bar, and a subsidised shop offering a selection of our Unilever products.Job PurposeFor Unilever to remain competitive in the future, the business needs to continue the path to become data intelligent. The Data & Insights team will persevere to make Unilever Data Intelligent; powering key decisions with data, insights, advanced analytics and AI.Our ambition is to enable democratization of data, information and insights as a completely agile organization that builds fantastic careers for our people and is accountable for delivering great work that maximizes impact and delivers growth.This Data & Analytics function endeavours to create clear accountability for all aspects of Data Strategy, Data Management, Information Management, Analytics, and Insights. We would be accountable for impact of solutions, maintaining market relevance and minimising unnecessary overlaps in analytics products, ensuring simplicity and that our solutions better meet the needs of our users.We would partner with the Digital and Data Legal Counsel to ensure that our Data Defence (Privacy, Governance, Quality, etc) is well structured and sufficiently robust to use data and AI correctly throughout the enterprise. We would democratize information across the business, while supporting the culture shift required for data driven decision making. Further, this team would drive capacity unlock from manual and duplicative reporting capabilities, while also refocusing a portion of the unlock on embedding predictive and prescriptive analytics capabilities into our highest potential opportunities.We have four key operating principles:
Keyskills :
deliveryriskavailability managementcapacity managementdocumentationpersonal carebusiness caseclimate changedata management