At AIA we've started an exciting movement to create a healthier, more sustainable future for everyone.Sound like you Then read on.WE ARE LOOKING FOR ...... To assist with GASC support Performance Management aspects to business units such as create and deploy repeatable, interpretable, dynamic and scalable models that are seamlessly incorporated into analytic data products, through the use of statistical, algorithmic, mining techniques
. Prepare data from different data sets for building predictive models and to communicate the results.
. Advocate and educate on the value of data driven decision making
. Work closely with business teams to understand the business requirements and translate them into data models for self-analysis and self-reporting purposes via dashboards, reports, queries etc.
Design, implement and evaluate advanced statistical and approaches for application data to support decisions on day-to-day operations, strategic planning and various business problem statements.
Communicate findings from analytical modelling results to relevant stakeholders that will give insights to improve decision making and drive business performance.
Implement analytical models into production systems by collaborating with relevant stakeholders.
Develop processes and tools to monitor and analyse model performance, as well as implement improvements as needed.
Provide support in building the foundation of technical analytics capabilities within GASC department, including sharing of best modelling and data science practices within the team.
Drive analytics innovation by keeping abreast of industry's trends, evaluating and adapting new and improved data science approaches for the business.
Develop in depth understanding of the business and be able to advise the business on the right analytics approach by participating in business discussions and presentations as applicable.
Collaborate with cross-functional team to deliver high impact insights using advanced analytics across multiple and large data sets
Guide users in processing, cleansing, and verifying the integrity of data used
Apply data mining techniques and statistical analysis to uncover insights from the data and present results using visualization tools (i.e. Power BI, Ui Path)
Create standard procedures, process & best practices for data analytics to be used for current and succeeding project
Continuously improve, routinely review and evaluate analytics provided to business units
Any other support when required
Job Requirements :
Bachelor's degree holder, graduate degree in Statistics, Applied Math, Data Science or other related quantitative field is preferred.
Approximately 4-5 years of working experience in data science preferably in IT systems support under shared services environment.
Experience with business intelligence tools (e.g. Power BI).
Excellent communication skills, organizational skills, able to multi-task and set priorities
Possess knowledge on IT support procedures and operations
Possess business techniques on facilitating change of the business flow
Strong analytical and problem-solving skills
Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications.
Strong analytical skills, deductive reasoning, problem solving and critical thinking skills.
Excellent relationship management, strong team building, and the ability to work across business units and functions to drive positive business outcomes.
Able to work independently, and work with cross-function teams
Able to deliver results in short timeframe and adaptable to changes
English reading/writing and verbal communication
Self-motivated, curious, resourceful and a good team player
Strong sense of urgency and accountability to drive business outcomes
MS Office (Excel, Word, Teams, Powerpoint, Share Point) skills
