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Provide data-driven insights, dashboards, and scenario modeling to support demand and supply planners, S&OE/S&OP processes, and enterprise decision-making
Drive continuous improvement in analytics, data quality, and model reliability
Drive automation and advanced analytics, leveraging Python, SQL, and BI tools to scale insights
Partner with more senior team members to align analytics with standards, governance, and process maturity efforts
Generate dashboards and KPIs that support IBP governance and forum discussions
Enable S&OE/S&OP with near-term supply-demand coverage analytics, including early warning indicators
Requirements
Bachelor's or Master's Degree or equivalent in data science, statistics, computer science, or related field.
Post-graduate, certification, and/or license are a plus.
Ability to work independently and as part of a team in a fast-paced environment.
Knowledge in predictive modeling, machine learning, and statistical analysis preferred.
Programming languages such as Python, R, or SQL.
Data visualization tools like Tableau, Power BI, Qlik, Spotfire or similar.
Strong analytical and problem-solving skills with the ability to interpret complex data.
Familiarity with cloud platforms such as AWS, Azure, or Google Cloud.
Knowledge of advanced machine learning techniques and frameworks.
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