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Data Engineer

4500 - 5000 SGD
Full-time

WILMAR DISTRIBUTION PTE. LTD.

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.
Vacancy posted 6 days ago
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