Data Analyst
HELP US MAKE THE WORLD GO ROUND!
TOGETHER WE CREATE A CHAIN OF PROFESSIONALS - BECOME OUR LINK!
About Company:
As DHL, we are a world leader in supply chain management and support our customers in developing their business. DHL Supply Chain operates in more than 23 countries around the world, connecting people and companies securely and reliably, enabling the global flow of trade. In Poland, it employs over 5000 people and operates nearly 16 warehouses with a total area of over 740,000 m2. Our employees daily deal with the delivery of the best logistics solutions and service the largest warehouses in Poland and in the world for various industries (including e-commerce, technology, life sciences and healthcare, energy, automotive and retail).
We know how important it is to implement in our organization. From the very beginning, we will provide you with the necessary training, because human capital is DHLs largest investment. We have an internal training platform where each of our employees creates their individual plans and development paths. We work based on mutual respect, and we expect you to be open to new challenges that we have plenty of!
- Create reports and presentations to support business process improvements;
- Collaborate with IT on database modeling, operational reporting, and data optimization;
- Manage and maintain the Master Data Management (MDM) strategy, ensuring data accuracy and consistency;
- Utilize tools like PowerBI, SharePoint, and Power Automate to support data management and reporting;
- Lead User Acceptance Testing (UAT) for operational systems.
- Proficiency in PowerBI or similar tools;
- Advanced Excel skills; familiarity with Power Automate and SharePoint;
- Strong analytical, numerical, and project management skills.
- Real development opportunities - over 70% of recruitment processes are selected from internal candidates;
- Co-financing for holidays, Christmas vouchers;
- Medical care, Co-financing for sports card (Multisport);
- Possibility to join group insurance on preferential terms.