Data Analyst, Supply Chain Analytics

We are seeking a Data Analyst to help build and scale advanced analytics and market intelligence capabilities within our Supply Chain organization. This role will focus on data integration, market forecasting, competitive intelligence, statistical analysis, and analytical tools supporting strategic and operational decisions.

The Data Scientist will collaborate across Procurement, Operations, Finance, Engineering, and other business functions to transform complex internal and external datasets into actionable insights that improve supply chain visibility, supplier strategy, cost management, and long-term planning.

The ideal candidate combines strong quantitative and analytical skills with an understanding of technology markets, business strategy, and the ability to communicate complex findings to executive stakeholders.

• Develop analytical frameworks to evaluate semiconductor markets, technology trends, supplier dynamics, and industry developments.
• Apply statistical and econometric techniques to forecast market demand, component pricing, and supply availability.
• Integrate external market intelligence with internal procurement and planning data to identify risks and opportunities.
• Analyze competitive dynamics, emerging technologies, and market shifts influencing long-term supply chain strategy.

• Integrate and validate data from multiple internal and external sources to establish reliable analytical datasets.
• Develop automated data collection, transformation, validation, and reporting processes using Python, R, SQL, and other tools.
• Support data governance, quality standards, and consistent definitions across analytical workflows.
• Build scalable reporting frameworks and interactive dashboards to improve supply chain and market visibility.

• Develop statistical models to analyze pricing trends, supply-demand relationships, and drivers of market variability.
• Build scenario and sensitivity analyses to quantify changes in market conditions, supplier constraints, and business assumptions.
• Evaluate financial and operational implications of procurement and supply planning strategies.
• Leverage advanced analytics, machine learning, and AI-enabled tools where appropriate to improve analytical efficiency and decision quality.

• Partner with cross-functional stakeholders to translate business challenges into structured analytical projects.
• Conduct market, competitive, financial, and technology research supporting strategic sourcing and supply chain planning.
• Develop executive-level reporting, presentations, and recommendations communicating analytical findings and business implications.
• Support time-sensitive analyses and strategic initiatives involving multiple business functions.

• Bachelor's degree in Data Science, Economics, Finance, Statistics, Mathematics, Computer Science, Business Analytics, or a related quantitative field.
• Demonstrated experience in data analytics, market intelligence, quantitative research, or data science.
• Proficiency in analytical tools such as Python, R, SQL, and Excel.
• Experience with statistical analysis, forecasting, and integrating data from multiple sources.
• Strong understanding of data management, validation, automation, and analytical reporting.
• Ability to translate complex analytical findings into actionable business recommendations.
• Strong communication, project management, and cross-functional collaboration skills.
• Ability to independently manage analytical initiatives and present findings to senior leadership.

• Master's degree in…