AMER Business Marketing Analytics & Recertified Storage Analytics Intern - Summer

We are seeking an Intern to support strategic research, business analytics, and market assessment initiatives focused on two high-growth areas: AI-driven market segments/applications and recertified storage solutions.

This role is designed for an MBA intern or a highly capable undergraduate student with strong analytical skills and an interest in AI infrastructure, data centers, storage technology, circular economy business models, and market strategy. The intern will help develop actionable business insights that connect technology trends, infrastructure requirements, customer pain points, ecosystem dynamics, and future storage demand.

The ideal candidate is inquisitive, structured in problem-solving, and able to translate complex technical and market information into executive-ready business recommendations.

The intern’s work will help inform strategic decision-making in two important areas of future growth.

First, the intern will contribute to a clearer understanding of market segments and applications. Additionally, how AI workloads may shape future storage demand across training, inferencing, deployment, and retention environments. These insights can help the business better anticipate market needs, identify high-value use cases, and position storage solutions within evolving AI infrastructure architectures.

Second, the intern will support the development of a more structured view of the recertified storage market. By analyzing archival data centers, ecosystem participants, customer pain points, geographic growth areas, and partner routes to market, the intern will help identify where recertified storage products may create customer value, expand addressable markets, support sustainability objectives, and improve lifecycle monetization.

Key Responsibilities:

Business Analytics — AI Infrastructure & Storage Demand

• Analyze AI workloads across the market segments, including data collection, data preparation, model training, inferencing, model deployment, and long-term retention.
• Research frontier AI models and AI platforms, including Claude, Deep Seek, Mistral, and other emerging models, to assess potential infrastructure and storage implications.
• Evaluate how different AI workload patterns may impact the need for Flash, HDD, object storage, file storage, block storage, and hybrid storage architectures.
• Identify market signals, technology shifts, and customer requirements that may influence future storage growth.
• Synthesize findings into clear business objectives , executive presentations, and strategic recommendations on target market segments and applications.

Recertified Storage Analytics — Market, Ecosystem & Opportunity Assessment

• Support development of go-to-market hypotheses, partner segmentation, and strategic opportunity sizing.
• Analyze geographic growth regions and market segment hotspots where recertified storage may have stronger demand potential.
• Analyze how archival, backup, cold-data, and secondary-storage environments deploy, refresh, manage, and retire storage infrastructure.
• Assess customer pain points related to storage lifecycle management, including cost, capacity planning, warranty, sustainability, data retention, operational complexity, and asset disposition.
• Map relevant ecosystem participants, including Global Systems Integrators, IT Asset Disposition providers, value-added resellers, channel partners, system builders, managed service providers, and specialized archival data center operators.

• Strong interest in AI infrastructure, data centers, enterprise technology, cloud computing, storage systems, or technology market strategy.
• Ability to break down ambiguous problems into clear work streams, frameworks, and…