Evaluate large data sets with advanced statistical methods (like Azure Machine Learning) to model predictive results
Maximize data capabilities by building Data lakes and historical analysis and ensuring data integrity and security for analytics, exploration and characterization
Research and continuous development of algorithms to predict sales and customer behaviours using real time Point of Sales, CRM and ERP and other unstructured data sources
Develop downstream analytics solutions for Operations, Finance and Marketing through using data visualisation tools such as Power BI to assist business in KPI tracking, automate/improve processes
Able to extract insights and employ best-in-class data visualization and analytics practices to enable effective decision making
Test the solution with real live data & present the results and provide strategic recommendations to senior management.
Work closely with key stakeholders across all departments to create valuable reports and further drive data driven business decisions.
REQUIREMENT:
Minimum 3 years of experience as a Data Analyst/Scientist with high intellectual curiosity, and expertise with AML, Power BI and Microsoft Excel
Proficient in web query tools and data wrangling techniques
Track record of creating Key Performance Indicators, scorecards, financial or mathematical models and information acquisition tools applicable across diverse business situations
Strong problem solving and analytical skills
Ability to simplify information and represent it visually for a broad audience Highly self-driven and able to perform end-to-end development from requirements gathering, to design, development, testing and deployment.