Join a dynamic team as a Data Analyst, where your insights will drive key decisions in logistics. You'll work with large datasets and collaborate with various teams to enhance operational efficiency.
As a Data Analyst, you will play a crucial role in supporting data-driven decision-making within the logistics sector. Your main responsibility will be to analyze operational data, identify trends, and provide actionable insights through comprehensive reports and dashboards. This role requires proficiency in handling large datasets and complex queries, ensuring that the data you work with is accurate and reliable.
You will be expected to analyze data from various systems, including Warehouse Management Systems (WMS), Transport Management Systems (TMS), and Enterprise Resource Planning (ERP) systems. Your insights will help the company understand operational trends and improve efficiency across the logistics value chain. Regular audits and data cleansing will be part of your routine to maintain data quality.
Collaboration is key in this role, as you will work closely with different teams to enable effective data-driven decision-making. You should be comfortable communicating your findings and recommendations to stakeholders at various levels.
To succeed in this position, you should have 3-5 years of experience in business intelligence, data analysis, or a similar reporting role. Proficiency in SQL and Python is essential, along with experience in data visualization tools like Power BI or Tableau. If you are passionate about data and enjoy working in a collaborative environment, this role is a great fit for you.
You'll be taken to the original listing on PNet to apply.