•Advanced data analytics and statistical modeling to extract insights from data
•Using machine learning to explore patterns in big data (Data Mining)
•Using predictive modelling to increase and optimize customer experiences, revenue generation, ad targeting and other business outcome
•Work with cross-functional team member to identify and prioritize actionable, high-impact insights across a variety of core business areas
•Bachelor’s Degree from Statistics, Applied Mathematics, Artificial Intelligence, Computer Science/Information Technology, Engineering (Computer/Telecommunication) or equivalent
•Strong knowledge and experience with relational database (e.g. MySQL, PostgreSQL, etc.) and NoSQL database (e.g. MongoDB, DynamoDB, Cassandra, etc.) and using visualization tools (e.g. Tableau, Power BI, QlikView, etc.), including experience using ETL/ELT and Reporting/Analytics Tools, designing and developing automated analytic software, techniques, and algorithm.
•Knowledge of statistics and experience using statistical tools for predictive modeling, and forecasting (Tableau, SPSS Modeler, etc.)
•Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attentions to detail and accuracy.
Adept at queries, report writing, and presenting findings
Medical, BPJS, Transport Allowance, etc