S

SAS

Analytics, BI, and data management software

Business Value Engineering & Financial Analytics Intern

Summer 2026Updated Deadline 2/22/27
$15 - $30/hr
Internship
Master's
Morrisville, NC, USA
HybridHybrid preferred; remote options available.
Data & AnalyticsData Analysis

About the job

Requirements
  • You are 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.
Responsibilities
  • 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.
Desired Qualifications
  • Knowledge of Artificial Intelligence, Machine Learning, Robotic Process Automation, Business Intelligence, Software Development, Data & Analytics Modeling, Data Visualization, Data Analysis
  • 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
  • Previous experience with financial analysis and/or business case development
  • 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

About the company

SAS provides analytics, business intelligence, and data management software and services to organizations across government, business, and academia. Its products cover data mining, statistical analysis, forecasting, and optimization, and are sold as software licenses, with accompanying training, consulting, and support services. The platform typically helps users analyze large data sets and turn insights into decisions through a full analytics lifecycle—from data preparation to modeling and deployment. SAS differentiates itself through its long history (founded in 1976) and a broad, enterprise-grade suite with extensive services and a global presence that serve many of the world’s largest organizations. Its goal is to help customers become data-driven by turning data into actionable insights that improve decision making and outcomes.

Company Size

10,001+

Company Stage

Grant

Total Funding

$1M

Headquarters

Cary, NC

Founded

1976

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Simplify's Take

What believers are saying

  • SAS launched Viya Copilot and MCP Server in May 2026.
  • SAS and Microsoft expanded Decision Builder on Fabric on September 9, 2026.
  • SAS and Swiss Re shipped AI catastrophe-risk tooling for insurers in July 2026.

What critics are saying

  • SAS cut 300 jobs in June 2026, signaling pressure inside cloud and R&D priorities.
  • A September 15, 2026 judge kept SAS in extended-stay antitrust litigation.
  • Microsoft Fabric and hyperscalers compress SAS into a legacy layer within three years.

What makes SAS unique

  • SAS Viya keeps governance, auditability, and human oversight inside production analytics workflows.
  • SAS sells deeply embedded decisioning for banks, insurers, health systems, and governments.
  • Jim Goodnight still controls SAS privately, preserving long-term R&D and product continuity.

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Benefits

  • Health Insurance
  • Dental Insurance
  • Vision Insurance
  • Life Insurance
  • Disability Insurance
  • Health Savings Account/Flexible Spending Account
  • Unlimited Paid Time Off
  • Flexible Work Hours
  • Remote Work Options
  • Paid Vacation
  • Paid Sick Leave
  • Paid Holidays

Growth & Insights and Company News

6 month growth

12%

1 year growth

17%

2 year growth

17%
PR Newswire
Oct 1st, 2026
SAS appoints Casey McGee as Chief Sales Officer to drive AI-era growth

SAS has appointed Casey McGee as Executive Vice President and Chief Sales Officer, effective immediately. McGee brings 25 years of enterprise sales experience from Google, Microsoft and Lytx. Most recently, McGee served as Managing Director, Global Partner Ecosystem and Applied AI at Google. He previously spent 22 years at Microsoft in sales, partner and global operations leadership roles, and served as Chief Revenue Officer at Lytx. At Microsoft, McGee held sales leadership positions spanning global ISVs, digital natives, venture capital, private equity and systems integrators. His experience included creating Microsoft's Digital Natives customer segment and leading business operations for the company's Global Sales and Marketing organisation. McGee succeeds Riad Gydien, who retired after 20 years with SAS.

PR Newswire
Jul 29th, 2026
SAS and Swiss Re partner to integrate AI-driven catastrophe risk intelligence into insurance underwriting and pricing

SAS, a global leader in data and AI, has partnered with reinsurance provider Swiss Re to help insurers strengthen resilience through AI-driven risk intelligence. As part of the collaboration, Swiss Re will combine its CatNet natural catastrophe risk intelligence with SAS Insurance Life Cycle Accelerator, enabling insurers to incorporate predictive hazard insights into underwriting, pricing and portfolio management workflows. The partnership addresses mounting pressure from climate-driven "secondary perils" such as floods, hailstorms and wildfires. According to Swiss Re Institute, 99.9% of insured catastrophe losses in the United States in 2025 originated from secondary peril events. The combined solution is expected to drive a 95% increase in decisioning efficiency and a 50% boost in modelling process efficiency, allowing underwriting teams to review 40% more risks with the same manpower.

Yahoo Finance
Jun 27th, 2026
SAS Institute cuts 300 jobs to align with cloud and R&D priorities

SAS Institute, a North Carolina-based analytics software provider, has cut 300 positions across the company. The layoffs, implemented last week, affect employees globally across SAS's 400-plus offices worldwide, with its main campus located in Cary. The company stated the cuts align resources with long-term strategic priorities whilst continuing investment in research and development, sales and cloud operations. Affected employees can apply for other open positions or access transition services. SAS currently has several hundred vacancies worldwide. The company emphasised its focus on aligning resources with customer needs and sustainable growth, but declined to speculate on further changes.

PR Newswire
Jun 24th, 2026
Nevada uses SAS AI to cut SNAP errors, finds $130K in overpayments in two months

Nevada's Division of Social Services has selected SAS to help reduce error rates in its Supplemental Nutrition Assistance Program using AI technology. The state will deploy SAS Payment Integrity for Food Assistance to avoid potential penalties under new federal requirements mandating SNAP error rates below 6%. In the first two months of implementation, caseworkers have already identified $130,000 in monthly overpayments. The solution uses AI and machine learning to analyse every active SNAP case, providing monthly risk scoring to help staff prioritise reviews based on error likelihood and dollar amounts at risk. Nevada faces a potential $52 million penalty if error rates exceed the federal threshold. Beginning in 2027, states exceeding the 6% error rate must pay between 5% and 15% of total SNAP benefits, with some penalties potentially reaching $1 billion annually.

PR Newswire
May 28th, 2026
Insurers battle $309B fraud crisis with AI tools to detect fake accident photos

Insurance fraud through AI-generated images is rapidly escalating, with fraudsters using artificial intelligence to create or alter photos depicting crash scenes, receipts and property damage. The threat costs US consumers an estimated $308.6 billion annually, with one in 10 property-casualty insurance losses including fraud. Only 7% of anti-fraud professionals say their organisations are prepared to detect AI-charged fraud, according to a survey by the Association of Certified Fraud Examiners and SAS. To combat this, SAS has developed a synthetic image detection solution combining computer vision, optical character recognition and large language model reasoning. The system provides automated content screening, multi-signal fraud detection and risk-based decisioning. It can identify subtle manipulations that escape human detection and extends beyond insurance to banking and government sectors.

INACTIVE