Staff Data Analyst, Supply Chain Analytics

Job Overview

Market Intelligence and Forecasting

• Develop frameworks to evaluate semiconductor markets, technology trends, supplier dynamics, and industry developments.
• Forecast market demand, component pricing, and supply availability using statistical and econometric techniques.
• Combine 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.

Data Integration and Automation

• Integrate and validate internal and external data to establish reliable analytical datasets.
• Automate data collection, transformation, validation, and reporting 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 for supply chain and market visibility.

Statistical Analysis and Scenario Planning

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

Strategic Analysis and Decision Support

• Partner with stakeholders to turn business challenges into structured analytical projects.
• Conduct market, competitive, financial, and technology research for strategic sourcing and supply chain planning.
• Present analytical findings, business implications, and recommendations to executive stakeholders.
• Support time-sensitive analyses and strategic initiatives involving multiple business functions.

Required Skills and Experience

• Bachelor's degree in data science, economics, finance, statistics, mathematics, computer science, business analytics, or a related quantitative field.
• Experience in data analytics, market intelligence, quantitative research, or data science.
• Proficiency in Python, R, SQL, and Excel.
• Experience with statistical analysis, forecasting, and integrating data from multiple sources.
• Understanding of data management, validation, automation, and analytical reporting.
• Ability to translate complex findings into business recommendations; strong communication, project management, and collaboration skills.
• Ability to independently manage analytical initiatives and present findings to senior leadership.

Nice-to-Have Skills and Experience

• A master's degree in economics, finance, data analytics, or a related quantitative discipline is a plus.
• Technology markets, semiconductor industries, cloud infrastructure, enterprise technology, market research, competitive intelligence, technology strategy, or strategic consulting experience is a plus.
• Econometric modeling, market forecasting, and scenario analysis experience is a plus.
• Power BI, Tableau, or similar BI platforms are a plus.
• Data governance, large-scale data integration, BI modernization, machine learning, or generative AI experience is a plus.

Additional Information

Compensation

• The listed salary range is USD 128,400–173,700 yearly.