Value Engineering Intern: Drive Enterprise ROI

Relay

Raleigh (NC)

On-site

USD 28,000 - 41,000

Full time

7 days ago
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Job summary

Relay is seeking a Value Engineering Intern for Spring Semester 2027 in Raleigh, NC. On-site role, part of the Value Engineering team, building ROI models and supporting executive-ready analyses for enterprise deals.

You'll map workflows, develop financials across manufacturing, logistics, healthcare, and hospitality, and collaborate with AEs, CSMs, and senior leaders. Strong math, data skills, and communication are essential.

Qualifications

  • Pursuing a Bachelor's degree in a related field.
  • Strong quantitative and analytical skills.
  • Able to build models and work with data.
  • Excellent written and verbal communication.

Responsibilities

  • Support the development of executive-level business cases translating data into ROI.
  • Map prospect workflows and analyze metrics to identify high-impact use cases.
  • Build financial models quantifying value across industries.
  • Collaborate with AEs and CSMs on pilot strategies and account planning.
  • Research industry benchmarks to strengthen value narratives.
  • Develop internal tools and ROI frameworks for the sales org.
  • Contribute to pricing strategy conversations and product roadmap insights.
  • Present work at intern showcase to Relay's team.

Skills

Quantitative analysis
Analytical skills
Data modeling
Communication skills

Education

Bachelor's degree in Industrial Engineering
Bachelor's degree in Mechanical Engineering
Bachelor's degree in Computer Science
Bachelor's degree in Statistics
Bachelor's degree in Data Science

Tools

Excel
Python
SQL

Job description

Relay is seeking a Value Engineering Intern for Spring Semester 2027 in Raleigh, NC. On-site role, part of the Value Engineering team, building ROI models and supporting executive-ready analyses for enterprise deals.

You'll map workflows, develop financials across manufacturing, logistics, healthcare, and hospitality, and collaborate with AEs, CSMs, and senior leaders. Strong math, data skills, and communication are essential.

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