Working Student (all genders) - Electronics Controlling Data & Analytics

Posté 10 mai 2023

Darmstadt, Hessen - Germany

Demander un identifiant 264294


Work Your Magic with us!

Ready to explore, break barriers, and discover more? We know you’ve got big plans – so do we! Our colleagues across the globe love innovating with science and technology to enrich people’s lives with our solutions in Healthcare, Life Science, and Electronics. Together, we dream big and are passionate about caring for our rich mix of people, customers, patients, and planet. That's why we are always looking for curious minds that see themselves imagining the unimaginable with us.


Everything we do in Electronics is to help us deliver on our purpose of being the company behind the companies, advancing digital living. We are dedicated to being the trusted supplier of high-tech materials, services and specialty chemicals for the electronics, automotive and cosmetics industries. We foster a global collaborative organization made up of individuals who have the passion to win, obsess about the customer, are relentlessly curious and act with urgency. Together, we push the boundaries of science to make more possible for our customers.


Your Role:

As a part of the Electronics Controlling Data & Analytics team you will support us in ensuring efficient data and process flows. This entails a broad spectrum of tasks, from setting up integrated and consistent data sources to automating (partially) manual process steps, to improving analyses and forecastings. For this you will have the chance of exploring the Palantir Foundry platform and working with our data lake and various Palantir applications (Fusion, Contour, Slate etc.). You would help us build data pipelines, linking and transforming data sets using Palantir Contour or PySpark Code. You would work together with other Team members, e.g. our Tableau developer, to ensure the needed data set gets built and delivered in such a format that makes the down-stream applications using the data run faster. You would help us build a pilot for an integrated reporting and commenting process and associated data flow on Palantir Foundry. You would also help us explore data science methods applied to forecasting and analytics use cases; trying out different forecasting models and algorithms, evaluating accuracy against human-driven forecasts. In general you would also help us in our day to day operations, supporting team capacity for controlling related tasks, like cost object and P&L data quality in our systems and hierarchies.


Who you are:

  • Study Business, Business Engineering (Wirtschaftsinformatik) or Information Technologies and you are matriculated during the whole period of the working student employment or in a gap period between Bachelor's and Master's degree
  • Completed Bachelor’s degree with good or excellent results
  • Ideally: previous internship experience in Finance / Controlling
  • Strong Excel Skills and project work experience; ideally: also TM1
  • Applied programming experience in common languages (esp. Pyhton)
  • Ideally: having worked with big data (experience in Spark, PySpark, Pandas)
  • Statistical modelling experience, mathematical knowledge and programming skills, e.g. R, Gauss, SAS, MatPlotLib
  • Willingness and ability to learn new things
  • Fluent in English; ideally: also German
  • Be highly self-motivated, a creative problem solver, bringing your own ideas to the table, have strong analytical skills and be results-oriented

What we offer: We are curious minds that come from a broad range of backgrounds, perspectives, and life experiences. We celebrate all dimensions of diversity and believe that it drives excellence and innovation, strengthening our ability to lead in science and technology. We are committed to creating access and opportunities for all to develop and grow at your own pace. Join us in building a culture of inclusion and belonging that impacts millions and empowers everyone to work their magic and champion human progress!
Apply now and become a part of our diverse team!