Data Analyst (Demand planning and Forecast)

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