Competitive Intelligence Analyst – Student

Role Overview

The Indigo Strategy team is looking for a highly motivated and analytically minded student to support Competitive Intelligence, data analytics and AI-enabled strategy tools.

What You Will Do

Monitor competitors, markets, technologies and industry developments across HP Indigo businesses, support competitive benchmarking, market assessments, strategic deep dives and recurring CI deliverables.

Why It Might Be a Fit

Identify relevant market signals, emerging threats and growth opportunities, and translate them into business implications, support the development and automation of monthly competitive updates, alerts and management reports.

Requirements

• Current B.Sc. or M.Sc. student in Industrial Engineering, Information Systems, Data Science, Computer Science, Economics, Business, or a related analytical field.
• Minimum 2 years remaining of studies.
• Strong analytical thinking and business curiosity, with the ability to connect data and market information to business meaning.
• Proficiency in Excel and PowerPoint.
• Experience with Power BI, Python, SQL or data-visualization tools is an advantage.
• Hands-on familiarity with generative AI tools, large language models, AI agents, prompt engineering or workflow automation is a strong advantage.
• Ability to independently research a topic, structure findings and communicate a clear conclusion.
• Strong written and verbal English.
• Proactive, collaborative and fast-learning, with a hands-on build-and-experiment mindset.

Benefits

• Exposure to real strategic and management decisions in a global technology business.
• Hands-on experience across competitive intelligence, corporate strategy and business analytics.
• An opportunity to develop and deploy AI-enabled tools with real users and measurable business impact.
• Collaboration with senior stakeholders and cross-functional teams across Indigo and PSBD.
• A distinctive learning experience combining strategy, data, AI and business.

Tagged as: Data Analysis, Data Visualization, Excel, Power BI, Python, SQL