Back to listings
UnknownEspoo –

Data Analyst Intern

Description

Silicon Labs (NASDAQ: SLAB) is the leading innovator in low-power wireless connectivity, building embedded technology that connects devices and improves lives. Merging cutting-edge technology into the world's most highly integrated SoCs, Silicon Labs provides device makers the solutions, support, and ecosystems needed to create advanced edge connectivity applications. Headquartered in Austin, Texas, Silicon Labs has operations in over 16 countries and is the trusted partner for innovative solutions in the smart home, industrial IoT, and smart cities markets. Learn more at www.silabs.com.

Our Finland office is in Leppävaara, Espoo with around 70 employees. A summer job in Silicon Labs will allow you to learn a lot about world-changing IoT technologies and to have interesting tasks where you have to find the solutions yourself while having fun!

The Role

We are seeking two Data Analyst Interns to join us in the Analytics & Business Operations team. The team is located in the Sales function and responsible for analytics, data science, reporting and business operations for Sales, Product Lines and Customer Support organizations.

Who You Are

  • Studying a Master's degree in a quantitative field (eg. Business Analytics, Computer Science, Data Science, Economics, Operations Research, Statistics)

  • Good understanding of statistics. Machine Learning and AI solutions a bonus

  • Experience with Python. Experience with a BI tool a bonus

  • Understanding of business and processes a bonus

  • Strong teamwork skills

  • Interest in IoT and high tech

  • Excellent communication skills in English

Application Process

We review candidates' applications on a rolling basis.

Are you interested? Apply today by submitting all of the following:

  • Resume
  • Transcript of records (grades) from university

We prefer to receive all the above in English.

Apply today to learn more about our success story!

Silicon Labs is an equal opportunity employer and values the diversity of our employees. Employment decisions are made on the basis of qualifications and job-related criteria without regard to race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status, or any other characteristic protected by applicable law.

Skills

AIPythonMachine LearningData Science