The posting
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



