A multinational semiconductor supplier seeks a Data Analyst to enhance demand forecasting accuracy by designing, implementing, and operating advanced analytical solutions.
Responsibilities
Develop and refine time-series statistical models for demand forecasting accuracy over an 18-month horizon using R and Python on Google Cloud Platform
Automate business processes by developing machine learning models with Python
Analyze structured and unstructured datasets to identify risks, opportunities, trends, and patterns
Translate complex business challenges into scalable, robust, and sustainable analytical solutions using creative problem-solving and deep data expertise
Create dashboards, reports, and visualizations with Microsoft Power BI to communicate insights and support data-driven decisions
Present complex information effectively using data visualization techniques via Microsoft Power BI
Continuously assess and improve forecasting methods, planning processes, and analytical tools to deliver measurable business value
Collaborate with Supply Chain, Sales, and IT teams to drive adoption of analytical solutions and best practices
Required competencies and certifications
Bachelor’s or Master’s degree in Statistics or Mathematics with 5 years of relevant experience
Minimum 2 years of Python programming experience
Minimum 2 years of experience in time series forecasting, including univariate, multivariate, and ensemble modeling
Minimum 2 years of experience with database technologies (e.g., SQL) for querying, database creation, and stored procedures
At least 1 year of experience with Google Cloud Platform or equivalent cloud services (AWS, Microsoft Azure)
Minimum 1 year of experience using Microsoft Power BI
Preferred competencies and qualifications
Experience with machine learning, predictive analytics, and forecasting applications in supply chain and demand planning
Experience with SAP IBP or other advanced planning systems
To apply for this job please visit en-sg.whatjobs.com.
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