Data Analyst (m/f/d) part-time (20 hours per week)

  • Dr. Willmar Schwabe GmbH & Co. KG
  • Karlsruhe, Germany
  • 12/04/2024
Full time Data Science Data Analytics Data Management Biostatistics Data Warehouse

Job Description

Start: June 1st, 2024
Job online since: April 2nd, 2024

From Nature. For Health. Dr. Willmar Schwabe is the world's leading manufacturer of herbal medicines. As a family business with over 150 years of history and around 4,000 employees worldwide, we stand for products of exceptionally high quality. In order to promote the health of people around the world, we rely on modern research, customer focus and competent and motivated employees.
Our customers are at the center of our considerations and activities. The Market & Customer Insights team collects, analyzes and discusses relevant information together with colleagues from Marketing & Sales in order to understand our markets and customers even better. We are looking for a person for our Market & Customer Insights team at our Karlsruhe-Ottostraße location
Data Analyst (m/f/d) part-time (20 hours per week)

What you have to do
Carrying out complex and extensive analyzes of markets, customer groups and customer needs
Development of data models to generate customer insights
Development of impact models to measure and monitor the success of marketing - and sales activities
Extracting the decision-relevant findings and discussing recommendations for action with our colleagues from Marketing & Sales
Proactive identification of possible applications of data-based solutions
This convinces us
Relevant, several years of experience in the described areas of responsibility
Ideally experience in the areas of market insights, customer insights, customer experience, market research or similar .
Completed studies in the field of (business) mathematics, economics, social sciences, natural sciences or comparable (also completed professional training)
Relevant methodological knowledge and practical experience within data science (e.g. statistical models, experimental designs, Bayesian statistics, machine learning)
Excellent analytical thinking and experience in preparing and visualizing large amounts of data. You deal with complex contexts and recognize the essentials.
Strong curiosity to get to the bottom of things and to uncover and understand connections. Bring in insights from different sources beyond individual data sources.
Experience in applications and programming languages ​​commonly used for data analysis (e.g. Python, R)
You enjoy working in interdisciplinary teams
This is what we offer
A collectively agreed salary with attractive special benefits and an employer-financed pension plan.
Mobile working is established for us.
Development prospects through further training with external providers and in the Schwabe Academy.
Tasty food in our canteen.
Working as part of a dynamic marketing and sales organization
Healthcare provision through our own on-site company medical service.

Convinced? Still questions?
Tanja Skacel can be reached by phone at +49 721 4093 426.