Responsibilities

• Turn data into information, information into insight and insight into business decisions
• Deployment of visualizations on dashboards
• Perform analysis on large/diverse datasets by using various tools and techniques
• Work closely with various business unit on the needs of data analysis
• Extract, interpret, and present customer behaviour related to retail, shopping and location
• Ability to pay a high attention to detail
• Collaborate with the developers and teams on data mining, data interpretation, statistical modelling strategies and best practices

Requirements

• Degree in computer science, engineering, statistics, mathematics or related discipline
• 1 - 3 years' experience in analytics
• Experience in Big Data, Hadoop and Spark analytics environments
• Hands on experience with R (Statistical Data Science), Matlab, SAS, and/or other tools appropriate for large scale statistical analysis of numerical and textual data
• Experience with data mining, statistical modelling tools and underlying algorithms
• Automation scripting: PERL, Python, Ruby, PHP and/or related bash/shell
• Knowledge of machine learning, artificial intelligence and/or artificial neural networks skills are big plus
• Ability to design elegant and concise data presentations using Excel and PowerPoint
• Basic SQL scripting skills
• Excellent communication, analytical and team-work skills