Business Analyst Intern, Revenue Operations (ai Innovation) (summer 2026)

Cloudflare Cloudflare · Enterprise · Austin, TX · University

This is an internship role focused on Business Analysis within Revenue Operations, utilizing data to drive strategic decisions and evaluate program effectiveness. The intern will aggregate data, monitor business trends, draft summaries, create visualizations, and collaborate with cross-functional teams to support data-driven decision-making. While the company mentions AI as a tool and a partner, the core responsibilities of this role are data analysis, reporting, and business operations support, not direct AI/ML model development or deployment.

What you'd actually do

  1. Aggregate data from multiple program sources (e.g., Sales Enablement, GTM systems) to provide a "big picture" view of organizational performance.
  2. Monitor shifts in business data to proactively identify areas of excellence or needed intervention within our Go-to-Market (GTM) functions.
  3. Draft high-level summaries and "Executive Highlights" based on program completion rates, system adoption data, and historical benchmarks.
  4. Transform complex datasets into intuitive dashboards or slide decks that clearly communicate business impact to stakeholders using tools like Tableau or PowerBI.
  5. Collaborate with cross-functional teams to understand business questions and translate them into analytical solutions.

Skills

Required

  • Currently pursuing a Bachelor's or Master's degree in Economics, Finance, Data Analytics, Business Administration, or a related quantitative field.
  • Demonstrated proficiency in Microsoft Excel, including advanced functions such as Pivot Tables and VLOOKUPs.
  • Strong analytical and problem-solving skills with an ability to interpret complex datasets.
  • Excellent communication skills, both written and verbal, with the ability to articulate findings to both technical and non-technical audiences.
  • Curiosity and a proactive approach to learning new tools and methodologies.