Overview of the Role:
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Description:
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* You will generate business value from data through identification, development, and implementation of analytics use cases across all value streams, regions, and functions.
* You will provide in-depth business understanding combined with a strong skillset in advanced data engineering and science to transform business questions into data-driven insights using languages such as SQL, R, Python, etc.
* Together with the lead for data science, you will drive the concept of data insights and advanced analytics as a key strategic area in the field of business analytics.
* You will support the definition and execution of global business analytics strategy, helping to position the business analytics team as the central point of contact for all data analytics questions and use cases.
* You will be responsible for the management and execution of projects within the area of advanced business analytics closely aligned with business and senior management.
* You will ensure coaching and training of virtual teams and functional areas within core disciplines of analytics.
* You will actively participate in processes of digitization and automation of tasks, contributing to the company's evolution towards digital transformation.
Requirements:
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* 5-7 years of experience in analytical insights and data science.
* Master's degree in STEM from a prestigious university.
* Natural ability to turn concepts into computational systems and transform business questions into data-driven insights.
* Strong expertise in finance, sales, and supply chain processes.
* Expertise in data modeling, feature engineering, and knowledge of SQL, R, R Shiny, and Python.
* Solid understanding of data and system architectures and their role in digital transformation.
* Excellent English communication skills and ability to effectively engage with technical and business teams.
* Experience in Scrum and Agile methodologies to manage projects and drive high-performing teams.
* Willingness to travel when necessary to support business initiatives.
* Ability to collect, interpret, and use data effectively, driving digital transformation.
Benefits:
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* A safe workplace with high safety standards.
* A true commitment from managers to safety.
* Opportunities for limitless career growth.
* A working environment that supports employee well-being and engagement.
* The chance to contribute to the company's success and digital transformation project.