Design, develop, test, and implement initiatives related to business intelligence, statistical forecasting, and advance analytics.
Participate in data collaboration projects to identify, build, and support users in using data analysis to support business operations and decisions.
Develop and automate reports, iteratively build and prototype dashboards to provide insights at scale, solving for analytical needs.
Uncover insights and present findings and recommendations to multiple levels of stakeholders, creating visual displays to communicate quantitative information.
Apply and integrate statistical, mathematical, predictive modeling and business analysis skills to manage and manipulate complex high-volume data from a variety of sources.
Keep abreast of latest analytical techniques and identify appropriate data driven predictive analytics from use case concept through experiment design to industrialization/deployment to end users.
Work collaboratively with key business and technology teams to ensure that strategic initiatives are delivered successfully and that the solutions delivered are aligned to the planned enterprise IT framework.
Bachelor’s Degree in in Statistics, Mathematics, Computer Science/Information Technology or related field.
Strong SQL skills and proficiency in analytical tools such as Tableau, PowerBI, SAS.
Broad and in-depth knowledge of best practice in data visualization, data modelling, statistical methods and analytical techniques.
Strong analytical aptitude with a proven ability to analyze/interpret data and build quantitative models of business problems.
Good facilitation and presentation skills, including training delivery.
Excellent oral and written communication skills, organizational and time-management abilities.
High-initiative, self-starter and able to work with limited supervision.
Positive attitude. Able to work well with culturally and geographically diverse teams.
Experience Consumer Package Goods domain will be an added advantage.