Python Job: Talent Attraction Analytics Trainee (f-m-div)*

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Job Skills

Location

Porto - Portugal

Job type

Full-Time

Python Job Details

Part of your life. Part of tomorrow.

Infineon is a world leader in semiconductor solutions that make life easier, safer, and greener. Our solutions for efficient energy management, smart mobility, and secure, seamless communications link the real and the digital world.

- Feel welcome at Infineon Shared Service Center in Porto! -
Our multifunctional business model is focused on high quality services through operational excellence with engaged people. We are recognized globally at Infineon as a valuable business partner.
These are the main business services on our site: Finance, Purchasing, Human Resources, Robotic Process Automation, IT, Audit, Legal, Compliance, Business Continuity among other areas that consolidate us as a high quality partner.
You will find a very open and approachable working culture in Infineon Porto. Our office space has also been designed to promote our people engagement and well-being at work.

  • The term gender in the sense of the General Equal Treatment Act (GETA) or other national legislation refers to the biological assignment to a gender group. At Infineon we are proud to embrace (gender) diversity, including female, male and diverse.

Job Description

Our Talent Attraction team is dedicated to finding the perfect candidates for Infineon's needs and you will have an important role in supporting this process with the relevant market/competitor's data analysis and reporting.

In your new role you will:

  • Perform market and competitor analysis, and analyze recruiting KPIs and metrics in several EU countries to support the Talent Attraction team;
  • Compile and make sense of different sets of data coming from different market intelligence technology tools;
  • Generate comprehensive reports that can explain processes and outcomes;
  • Present data in a comprehensive way to several internal counterparts.

Your profile

You have a hands-on attitude and are an excellent communicator, willing to actively support your team members. You have an organized working style and feel comfortable with reporting and sharing your ideas with others.

You are best equipped for this task if you have:

  • University Degree in Data Science, Psychology, Economics, Management or an equivalent field;
  • Good knowledge of analytics and/or statistical tools (i.e., Excel, SPSS, R);
  • Familiarity with programming languages (i.e., Python) would be a plus;
  • An analytic mindset and attention to detail at all times;
  • A team playing attitude and a strong orientation to collaborate;
  • Fluency in English.

Please attach your CV in English so we can get to know you better.