Data Analyst
Luxembourg, L, LU
il y a 2j

About the role

Are you passionate about data and artificial intelligence? Does working in one of the world’s largest taste and nutrition companies excite you?

Do you want to analyze market insights, identify consumer trends and new business opportunities? We leverage cutting edge technologies using the Microsoft Azure Cloud to provide actionable insights to our internal business partners.

You will get a chance to work with the latest technologies in a great company atmosphere where you can personally grow.

We are looking for a Data Analyst who will support our teams with insights gained from analysing internal and external data.

You will enjoy working with large volumes of data and is passionate about learning new technologies. You will be a self-starter, comfortable with ambiguity, able to think big (while paying careful attention to detail) and enjoys working in a fast-paced team that will support the Kerry business achieve its strategic growth targets.

Key responsibilities

  • Contribute to next generation data-driven projects
  • Mine and analyze data from company (CRM & ERP Systems) and external databases to drive optimisation and improvement of product development, marketing techniques and business strategies
  • Develop custom data models and algorithms to apply to data sets
  • Use predictive modeling to increase and optimize opportunity creation, where to play targeting and other business outcomes
  • Develop processes and tools to monitor and analyze model performance and data accuracy.
  • Qualifications and skills

  • Bachelor’s degree or higher in Data Science, Statistics, Mathematics, Computer Science or another quantitative field
  • Data visualization in PowerBI or experience with data preparation / modelling in the coding language R or Python
  • First experience using statistical computer languages (R, Python, SQL, etc.) to manipulate data and draw insights from large data sets
  • Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.
  • and their real-world advantages / drawbacks

  • Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.
  • and experience with applications

  • Excellent written and verbal communication skills for coordinating across teams
  • A drive to learn and master new technologies and techniques
  • Strong communication skills, in particular the ability to explain complex solutions to a non-technical audience
  • You are creative, self-motivated, try things out on your own and simply get things done.
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