Data Engineer

Responsibilities

• 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.
• 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.
• Design and develop software solutions or internal tools that meet the operational needs of the distribution team (e.g. route optimization for merchandisers).
• Automate repetitive tasks and streamline data processing workflows.
• Maintain, test, and improve existing tools based on user feedback.
• Work closely with cross-fudctional teams such as Sales, Operations, and IT teams to gather requirements and translate them into technical solutions.
• Provide training or support to internal users on newly developed tools.

Requirements

• 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.
• Experience in web or application development (e.g. Python, JavaScript, Node.js, or similar frameworks).
• 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.
• Problem-solving mindset and ability to work independently on multiple projects.
• 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.