
Principal Analyst – Physical AI Semiconductors, IoT, Market Intelligence, Forecast/Market Sizing Models
Posted 1 day ago

Posted 1 day ago
This is a fully remote position, open to applicants in India.
• Develop published research and client insights through interactions and research initiatives.
• Provide semiconductor memory industry leaders with valuable insights, recommendations, and tools.
• Engage clients via phone or videoconference to help them navigate and resolve challenges.
• Take ownership of the quantitative and market-intelligence perspective regarding AI Processing Semiconductors and AI Data Centre Semiconductors.
• Convert demand signals into chip revenue forecasts and assess competitive impacts.
• Create and uphold market share and market forecasts for AI processing and AI Data Centre semiconductors.
• Monitor cutting-edge chip releases and their adoption from companies like NVIDIA, Broadcom, Marvell, MediaTek, AMD, and others.
• Maintain comprehensive market intelligence on emerging semiconductor startups and direct contracts with OEM-foundries.
• Evaluate how AI accelerators, custom ASICs, CPUs, GPUs, and other high-performance processors generate revenue growth opportunities.
• Oversee customer and supplier relationships, commitments to capacity, geographic expansions, and localization strategies in semiconductors.
• Keep up-to-date quarterly trackers, forecasts, supplier databases, and scenario models.
• Collaborate with analysts focusing on AI accelerators, GPUs, ASICs, interconnects, and AI infrastructure economics.
• Engage in Gartner's global research communities and knowledge-sharing sessions.
• Model and project chip demand, AI processing semiconductor units and revenue, node migration, customer demand, foundry implications, capacity, and ODM/IDM/OEM-to-foundry direct mix.
• Quantify how adjacent markets influence data centre semiconductor demand revenues.
• Represent Gartner research and deliver actionable recommendations to clients.
• A BE/BTech degree from top-tier engineering colleges, specializing in Electronics, Semiconductors, or Software Engineering.
• A graduate degree plus an MBA in Marketing or Operations from prestigious A and B-schools is preferred.
• Over 5 years of experience in the semiconductor or semiconductor-related industry or research field.
• Proven experience in constructing quantitative market models and forecasts.
• In-depth knowledge of the semiconductor supply chain.
• Familiarity with key players such as Intel, TSMC, Broadcom, AMD, MediaTek, and Marvell.
• Basic understanding of foundry economics, yield, utilization, node migration, and customer allocation practices.
• Capacity to link data centre chip demand with competitive and financial outcomes.
• Excellent skills in both written and verbal communication.
• Ability to challenge industry assumptions with evidence-based and quantitative analysis.
• Awareness of significant issues affecting the IT, technology, semiconductor, and electronics sectors.
• Proficient in designing, developing, and maintaining extensive Excel models for market share analysis and forecasting.
• Strong working knowledge of Microsoft Word and PowerPoint.
• Capable of managing time effectively, ensuring projects stay on schedule, resolving issues, and delivering client materials promptly.
• Exceptional writing skills, including articulating positions, backing them up with facts, and offering actionable analysis and recommendations.
• Ability to convey complex concepts clearly via telephone, face-to-face interactions, and presentations.
• Strong analytical, creative, independent, and efficient problem-solving capabilities.
• Demonstrated critical-thinking and problem-solving skills, including estimation tasks and original analysis.
• Proficiency in building professional relationships with analysts, initiative leaders, managers, and clients.
• Strong client engagement presence and ability to connect with diverse company cultures and personality types.
• Capacity to represent Gartner research, methodologies, and strategies at various organizational levels.
• Skilled in engaging with end-user clients, investors, technology and service providers, resellers, and channel partners.
• Effective organizational skills, driving results, collaborating, and mentoring colleagues.
• A mindset of complete ownership, professional maturity, intellectual curiosity, integrity, adaptability, and a willingness to adhere to internal processes and policies.
• Comprehensive world-class benefits.
• Highly competitive compensation packages.
• Significant rewards for top performers.
• A hybrid work environment that allows for virtual productivity while fostering collaboration in a dynamic community.
• Opportunities for professional growth and career development.
• An inclusive workplace culture.
• Reasonable accommodations for qualified individuals with disabilities.
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