JOB PURPOSE/ROLE Our global Analytics team is seeking an experienced Data Engineer for a newly created role within Portfolio Management. In this role you will work closely with the Head of Predictive Analytics and other key stakeholders to design and implement strong Data Models and Pipelines across the various Lines of Business and regions in AGCS in order to support advanced analytics within Portfolio Management. We are looking for someone who is willing to get hands on with the company’s data and to develop innovative and structured solutions to bring it together in a way that maximizes its potential. This person will need to collaborate internationally with various stakeholders, both within Portfolio Management and across other AGCS functions.
The Predictive Analytics team is part of CUO Portfolio Management at AGCS and is responsible for driving the use of analytics and data within portfolio management and across AGCS globally. CUO Portfolio Management is a function which partners with the Lines Of Business through the provision of in-depth profitability understanding. As well as fostering collaboration and best practice sharing across all the AGCS lines, Portfolio Management provide a cross LoB perspective to the Board to support strategic decision making. The team is spread across London, Munich, Bucharest, Chicago and New York.
KEY RESPONSIBILITIES In this role, you will… •Develop and implement data models that enable strong Pricing Analytics and Business Intelligence reporting within Portfolio Management •Develop an expert knowledge of the company’s IT landscape, data and data systems •Work with IT and other Analytics stakeholders to help productionize data flows from different internal and external data systems into a centralized data lake •Help to develop new data ingestion processes within our Cloud based platform to ensure that data can be properly leveraged in the future •Optimize fuzzy merge processes between data systems where primary identifiers are missing to release intrinsic value of data •Act as an expert to support the wider Portfolio Management team on data processing and coding best practices •Support the development of reporting dashboard and application development where necessary
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