What a College Intern – Data Analytics and Procurement does at HP:
Work with an enterprising team of data scientists and build solutions to track, analyze and visualize the manufacturing and outbound quality of our supplies.
Generate deep insights through the analysis of data and understanding of operational processes and turn them into actionable recommendations.
Develop methodologies for optimizing our business processes through data visualization, real-time monitoring, predictive analytics etc.
Prior knowledge in SQL, Microsoft Office, VBA, PowerBI, Tensorflow, UI Path would be an advantage.
Leads the analysis of a specific commodity data and industry trends or leads an individual supply chain sub- category, reports results to managers.
Participates as a member on a cross-functional team.
Meets with internal stakeholders to understand business priorities and translate them into procurement plans; comprehends the industry and the Marketplace.
Utilizes supply chain and financial modeling tools.
Participates in Supplier Selection Activities.
May lead activities for less complex domains.
Assesses the supply base of category.
Negotiates and contracts with suppliers.
Engages with low-complexity suppliers.
Monitors supplier performance.
Executes risk mitigation, business continuity, cost management, and operation strategies.
Identifies common contract risk areas.
Negotiates acceptable contracting outcomes using pre-packed solutions.
Advises program level business representatives on fundamental contract risk areas.
Individuals who do well in this role at HP, usually possess:
Studying a Bachelor or master's degree in Supply Chain, Computer Science, Business Analytics, Information Systems, Industrial Engineering, Statistics with good experience in programming.
Familiarity with Supply Chain knowledge & systems.
Excellent analytical thinking, programming (using R/Python is desirable), and problem-solving skills.
Knowledge of data analytics, data warehousing, database management (preferably using SQL) and data visualization using RShiny/Plotly.
Fundamental knowledge of statistics and probability.
Good visualization skills to create real-time dashboards and/or reports to inform trends and insights.
Able to commit 5-6 months full-time internship, starting around June 2026.
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