Join a dynamic team focused on data-driven decision-making in the logistics sector. As a Data Analyst, you'll analyze operational data to uncover trends and provide actionable insights. This role is ideal for someone with a strong analytical mindset and experience in handling large datasets.
Collaborative and data-driven
The company is dedicated to enhancing decision-making processes within the logistics value chain through data analysis. As a Data Analyst, you will play a crucial role in interpreting operational data, identifying trends, and delivering insights that drive business improvements. Your work will involve analyzing data from various systems, including WMS, TMS, and ERP, ensuring that the data is accurate and reliable for stakeholders.
In your day-to-day tasks, you will handle large datasets and complex queries, using tools like SQL and Python to extract meaningful information. You will also be responsible for creating reports and dashboards that visualize data trends and key performance indicators. Regular audits and data cleansing will be part of your responsibilities to maintain high data quality standards.
This role is well-suited for individuals with 3 to 5 years of experience in data analysis or business intelligence. You should be comfortable working with data visualization tools like Power BI or Tableau, although these are not mandatory. A strong analytical mindset and the ability to collaborate with different teams will help you succeed in this position.
Overall, this is an exciting opportunity for a mid-level Data Analyst looking to make a significant impact in a collaborative and data-driven environment. Your insights will directly contribute to informed decision-making and operational efficiency within the logistics sector.
You'll be taken to the original listing on PNet to apply.