Now you know a little bit about us, our aspirations, we would also like to describe who we think that you are, our new colleague. We imagine that you take on challenges in a positive way, you are a creative problem-solver. You like to take ownership, feel responsible for the projects that you work and are customer-oriented. You are great in collaborating (E2E mindset) to reach the goals that values building strong relationships with colleagues and stakeholders. And you have the ability to explain complex topics in simple terms (communication with distinct stakeholders). We think you are proactive, curious, and passionate about trying new things and are always looking to expand your knowledge (growth & innovative mindset to explore, learn and develop).  We need you to have strong data analytic skills to handle different and complex systems. So, its desirable that you may use cloud-based technologies, coding (as SQL, Python, as examples), automation (VBA, RPA, as examples), and visualization (PowerBi, for instance) tools to manage the amount of data needed. And you have a degree in computer science, statistics, engineering or related area, are fluent in English If you also have previous experience from studying or working with logistics and inventory management its very meriting as thats the core of what we do. Knowledge in agile methodology is also desirable  

• Do you want to be a part of our journey? Then we are hoping to hear you soon!  

• You will be responsible for applying a scientific mindset and hard skills in analyzing large volumes of complex data, using automation & coding tools. To do that, youll also support data architecture implementation and organization within our team. You have an important role in developing and transforming the way we work within our team and organization. So, youll also drive collaborations, support pulse labs to find solutions for existing or future challenges that data analysis/integration may solve. 

Translate business problems and develop end-to-end analytics use cases, from experimentation to operationalized output. Data discovery using state-of-the-art methods and tools. Mixing companys data with third-party sources of information to drive innovation in analytics. Develop complex models and algorithms that drive innovation and performance throughout the organization. This may include improving on-time performance, network planning, etc. 

• Conduct advanced analytics to provide actionable insights, identify trends, and measure performance. Collaborate with data engineers and data architects to implement and deploy scalable solutions. Provide thought leadership by researching best practices, conducting experiments, and collaborating with industry leaders.