Intern, Decision Science

Company Description

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.

Job Description

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 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
  
  

Qualifications

 Basic Qualifications:

• Enrolled and pursuing a Bachelor’s degree in Engineering, Mathematics or similar courses with an analytical focus
• Fluency in Portuguese and English
  
  
  

Preferred Qualifications:

• Tableau and/or PowerBI skills
• Basic knowledge of Python
• Experience working with large databases
• Knowledge of basic data structures and databases
• Advanced Excel experience is essential
• Knowledge of basic SQL
• Strong analytical skills
  
  
  

Suggested Skills:

• Communication Skills
• Proactivity
• Attention to details
  
  
  

Additional Information

Global Data Privacy Notice for Job Candidates

Please follow this link to access the document that provides transparency around the way in which LinkedIn handles personal data of employees and job applicants: https://legal.linkedin.com/candidate-portal.