Finance Department.
Extracting meaning from data and create dashboards
Manage and merge large amounts of data sources together
Pattern recognition and learning
Present and communicate the data insights/findings to team to solve complex data problems
Ability to explain data flow, data enrichment, data consolidation, change data capture and transformation
Collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy

Qualifications
First degree in any quantitive fields Finance, Information Systems, computer science, Accounting and Economic
Professional certification in IT or Finance field

Other Skill
Ability to work with large data sets using a range of statistical and segmentation techniques and knowledge of advanced excel
Experience with one or more programming languages such as Python is essential
Competency in Microsoft Office
Possess an in-depth understanding of analytical tools and ways of presenting data
Knowledge of statistics and experience using statistical packages for analyzing datasets (Excel, SPSS, SAS etc

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