Revenue Intern

LinkedIn is the world’s largest professional network, built to create economic opportunity for every member of the global workforce. Our products help people make powerful connections, discover exciting opportunities, build necessary skills, and gain valuable insights every day. We’re also committed to providing transformational opportunities for our own employees by investing in their growth. We aspire to create a culture that’s built on trust, care, inclusion, and fun – where everyone can succeed.

Join us to transform the way the world works.

This role will be based in São Paulo.

Please ensure your CV is submitted in English.

At LinkedIn, our approach to flexible work is centered on trust and optimized for culture, connection, clarity, and the evolving needs of our business. The work location of this role is hybrid, meaning it will be performed both from home and from a LinkedIn office on select days, as determined by the business needs of the team.

As a Revenue Intern, you will support initiatives that strengthen how our Revenue teams operate, helping to design, improve, and automate processes. You will contribute to projects focused on operational excellence, process optimization, and cross‑functional collaboration, gaining hands‑on exposure to how a global revenue organization operates at scale.  

This is a unique opportunity to learn how strategy turns into execution at LinkedIn. Join us to help build a stronger, smarter, and more scalable foundation for LinkedIn’s global revenue.  

What you’ll work on  

• Collaborate across teams to standardize and optimize revenue processes and system architecture. 

• Use SQL queries and other AI solutions to streamline workflows, reduce manual work, and create scalable solutions. 

• Develop and oversee documentation, dashboards, and self-service enablement materials. 

• Assist in creating and updating decks, documents, trackers, and internal resources, including summaries and best‑practice materials  

 Basic qualifications 

• Currently pursuing a Bachelor’s degree in Business, Economics, Data Science, Computer Science, Engineering, Mathematics, or a related field. 

• Experience working with SQL and foundational data concepts. 

• Experience with Microsoft Office, including Excel/Sheets. 

• Business Fluency in English. 

Preferred qualifications 

• Minimum one-year internship commitment required.  

• Familiarity with data visualization or workflow automation tools. 

• Ability to manage multiple tasks at once with strong attention to detail. 

• Natural problem solver with a bias for action and willingness to work through ambiguity. 

• Interest in analytics, program management, and process improvement. 

Suggested Skills:  

• Cross Function Collaboration  

• Problem Solving  

• Data Analytics    

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