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Data Analytics Manager

Keywords / Skills : Data Analytics, Python, C, SQL, SAS, Matlab, Java

10 - 13 years
Posted: 2019-01-19

Nationality
Singapore
Industry
Recruitment/Staffing/RPO
Function
Analytics/Business Intelligence
Role
Other Analytics/Business Intelligence
Posted On
19th Jan 2019
Job Ref code
9145
Job Description
Data Analytics Manager Applying advanced statistical analysis to large data sets, to assist in decision making for customers and supply chain for this global leading MNC, within the FMCG sector MAIN JOB PURPOSE: As the Data Analytics Manager, you will support a global program where the enterprise is building its business on data intelligence You will support senior business leaders in producing and delivering a data plan that will help support a global initiative to transform customer data looking at dissemination, innovation and acquisition of new data that is market specific Must have demonstrable experience in understanding the business problem, applying advanced statistical techniques to large data sets and apply Microsoft Azure analytics products to develop scaled analytic models in the cloud KEY REQUIREMENTS Educated to graduate level in Computer Science, Business or Supply Chain or relevant degree Overall experience of 8-10+ years with proven relevant experience plus following technical strengths: Expert knowledge of an analysis tool such as R, Python, Matlab, or SAS Experience working with large data sets, experience working with distributed computing tools a plus (Map/Reduce, Hadoop, Hive, etc.) Familiarity with relational databases and SQL Working knowledge to apply Microsoft Azure analytics product to develop scaled analytic models in the cloud Experience in coding languages (Java, C) is a plus Commercial understanding of Supply Chain Planning Strong track record of working with senior business leadership VP and above, to drive definition, alignment, and support for application of analytics and data to address complex business issues (e.g. centralization of promotion spending decisions) Passion for empirical research and for answering hard questions with data Ability to apply an agile analytic approach that allows for results at varying levels of precision Ability to communicate complex quantitative insights in a precise, and actionable manner Please send your resume in WORD format by clicking the apply button below or contact Anju Lagah on +65 6701 1504 for a confidential discussion. Please note that only short-listed candidates will be contacted.CEI Reg. Number R1219693 (Anju Lagah).

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