Responsible for synthesizing research findings while applying simple problem-solving methodologies to solve operational and interpersonal problems and recommending resource requirements in collaboration with relevant stakeholders
Providing business metrics for the overall project and implementing enhancements to systems as required while monitoring the performance of decision systems and statistical models
Communicating business subject matter with experts to lead initiatives for continual improvements and defining performance tracking metrices including incremental take-up, revenue etc
Measuring impact/ ROI to identify further optimization and retrain / periodic revision of model performance
Achieving consistent commercial growth through in the division/BU whilst executing campaigns with functional units and influencing stakeholders for driving new projects and campaigns
Implementing in-house consultative meetings with internal stakeholders for insights sharing and conducting continuous assessments of adoption programs as well as set clear objectives
Managing operational report requests via Tableau/Safe Harbor and participating development of analytics at the EDGE project, working with business/support units to identify opportunities for leveraging organizations data
Gathering data from both internal, external sources and preparing data for analytical tasks while implementing exploratory data analysis, visualization, hypothesis testing and presenting findings and actionable intelligence to stakeholders & senior management
Defining activities, strategic direction, scope, timelines on data science projects, developing dashboard to cater divisional business requirements while working with cross functional teams and maintaining documentation of methodology, source codes, version control & other best practices in development operations
Adhering to agile development practices and responsible for making reports, delivering presentations to all levels of colleagues, peer groups
Conducting both quantitative, qualitative analysis while researching on the industry best practices, working with internal / external parties and preparing roadmaps, investment papers on emerging technologies
Communicating with business subject matter with experts for continuous improvement of methodologies and responsible for knowledge sharing and collaboration building
Acquiring certifications offered through MOOC and ensuring the automation predictive models within the key business processes
Implementation on training & certification on SQL, or other necessary tools while grooming edge users on SQL / tableau and responsible for data quality management & data cleansing for the division
Entry Requirements
Possess a degree in B.Sc in IT/ Computer Science/ AI/ data science/ statistics, software-engineering/ economics and business or a diploma in analytics
Minimum 2 years of experience in the related area
Being passionate about creating value through scientific methods and data analysis