Job Information
LinkedIn Intern, Central Operations (Estágio) in Zona Oeste de Sao Paulo, Brazil
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 office.
At LinkedIn, we trust each other to do our best work where it works best for us and our teams. This role offers a hybrid work option , meaning you can both work from home and commute to a LinkedIn office, depending on what’s best for you and when it is important for your team to be together.
As a Central Operations Intern, you will apply the knowledge and techniques learned in the classroom to the real world and will build your experiences and help you transform and elevate your career trajectory.
What the job entails:
Participating and working on global projects to enhance operations, automate processes and conduct data analysis
You will also assist in the treatment, cleaning, transformation, and preparation of data, presenting them in the form of interactive dashboards and management reports.
You will learn how to work with a global team, developing projects using Python, SQL, advanced data analysis technics, managing your own projects and presenting to leadership
Open to interns who are able to work for at least 1 year and between 20 - 30 hours/week from Monday to Friday
* Basic Qualifications:*
Enrolled and pursuing a Bachelor’s degree in Engineering, Mathematics or similar courses with an analytical focus
Fluency in Portuguese and English
Knowledge of basic data structures and databases
Excel experience
Knowledge of basic SQL
Stakeholders management
Analytical skills
* Preferred Qualifications:*
Tableau and/or PowerBI skills are a plus
Basic knowledge of Python is a plus
Experience working with large databases is a plus
* Suggested Skills:*
Problem-solving
Intellectual curiosity
Communication
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