Join a dynamic team as a Data Analyst where your insights will drive decision-making in logistics. You'll work with large datasets and collaborate with various teams to enhance operational efficiency.
Collaborative and data-focused
As a Data Analyst, you will play a crucial role in supporting data-driven decision-making within the logistics sector. Your primary responsibility will be to analyze operational data, identify trends, and deliver 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 organization understand operational trends and improve efficiency across the logistics value chain. Regular audits and data cleansing will be part of your routine to maintain high data quality standards.
Collaboration is key in this role, as you will work closely with different teams to enable effective data-driven decision-making. This position is ideal for someone with 3-5 years of experience in business intelligence, data analysis, or a reporting role. Familiarity with tools like Power BI, Tableau, and programming languages such as Python will be advantageous but not mandatory.
If you are passionate about data and enjoy turning complex information into clear insights, this role could be a great fit for you. Your ability to communicate findings effectively and work collaboratively will be essential in driving the success of the team.
You'll be taken to the original listing on PNet to apply.