Summer 2026 – Business Value Engineering & Financial Analytics Intern (Master's)

Nice to meet you!

We’re the leader in data and AI. Through our software and services, we inspire customers around the world to transform data into intelligence – and questions into answers.

If you’re looking for a dynamic, fulfilling career with flexibility and a world-class employee experience, you’ll find it here. We’re recognized around the world for our inclusive, meaningful culture and innovative technologies by organizations like Fast Company, Forbes, Newsweek and more.

What you’ll do

Looking for that internship? The game-changing one that’ll help you learn, grow, and chart your path forward? You’ll find it at SAS. Our interns aren’t coffee runners – they do real, meaningful work. Our award-winning internship program is focused on development, culture, and community. We’ll help you grow professionally, find (or further) your passion, and make memorable connections that last beyond the summer.

The Business Value Engineering team is responsible for providing consultative guidance, including needs discovery, positioning, mapping of software capabilities to business value and vision, leveraging proof of concept results to quantify potential financial impact, and business-oriented presentations that highlight the value and uniqueness of SAS offerings to prospect organizations. A primary focus of the role will be to apply an understanding of how technology is used to create business and financial value to help customers understand, articulate, and communicate how SAS adds business value to a customer’s specific organization or function. As a graduate student intern you will be a significant contributor to a team of people dedicated to ensuring business objectives are well understood and software capabilities are appropriately aligned to successful implementation and adoption.

As an intern, you might:

• Individually or with another Business Value Engineer, develop financial business cases for customers, calculating Return on Investment (ROI), Net Present Value (NPV), payback period, or other key financial metrics which are impacted by SAS’ analytics offerings.
• Build out and refine Analytics Use Case frameworks and collaborate with Industry Consultants to further develop and expand the ongoing collection of customer use cases across major industries.
• Individually or with another Business Value Engineer, strategize with internal stakeholders (inclusive of the sales account executive, data scientists, technical solution architects, and industry consultants) on objectives for customer meetings; work with internal & external stakeholders over the course of a sales cycle to synthesize how analytics provides quantitative or qualitative business value for customer’s organization.
• Assist in discovery meetings to collect, analyze, clarify, and document business requirements during the sales cycle to support the formation of a customer’s internal business case.
• Develop custom value propositions or leverage & modify existing messaging frameworks which directly align the customer’s vision to the SAS analytics solution, value derived from the solution, and how the solution interacts with a customer’s business operations.

Required Qualifications

• You’re a Graduate student enrolled in an accredited university studying Business Administration, Operations or Supply Chain Management, Information Systems Management, Analytics, or Data Science; not graduating prior to December 2026.
• Coursework in Database Management, Distributed Systems Management, Managing Digital Business, Operationalizing AI, Accounting and Finance Analytics, and Statistics preferred.
• You’re curious, passionate, authentic, and accountable. These are our values and influence everything we do.
• Strong communication skills – both written and verbal.
• Leadership abilities. Your past experiences demonstrate you'll take initiative and go above and beyond the call of duty.
• You're interested in the future of Analytics and embrace technology

Preferred Qualifications

• Knowledge of Artificial Intelligence, Machine Learning, Robotic Process Automation, Business Intelligence, Software Development, Data & Analytics Modeling, Data Visualization, Data Analysis a plus.
• Previous experience with or knowledge of various software packages/programming languages such as Tableau, Qlik, AWS, Amazon Redshift, Microsoft Power Platform, JavaScript, R, Python, Oracle, SQL or Databricks also a plus.
• Previous experience with financial analysis and/or business case development a plus.
• Working knowledge of various industries in how they conduct business operations to further translate and convey the impact of data analytic solutions within a specific customer organization or function.
• Previous technology experience in consulting or software pre-sales support is considered a plus.
• FinOps or Cloud Economics experience is also a plus.
• Candidate should have a strong interest in data analytics and computer technology and a desire to stay current with the pace of technology and its application across all customers and industries.