Freight Forwarding Data Analyst
Join CJ Logistics as a Freight Forwarding Data Analyst and play a pivotal role in transforming complex logistics data into actionable insights that drive operational efficiency and strategic decision-making. In this dynamic role, you will leverage your analytical skills to analyze and interpret freight forwarding data, helping to optimize routes, reduce costs, and enhance customer satisfaction. Based in Jakarta Utara, you will be part of a team that is committed to delivering exceptional service and innovation in the logistics industry.
As a Freight Forwarding Data Analyst at CJ Logistics, you will work closely with cross-functional teams to ensure that data is accurately collected, processed, and analyzed. You will use advanced tools such as SQL, Python, and Tableau to extract meaningful patterns and trends from large datasets. Your insights will help the company make informed decisions that improve performance and support business growth.
๐ Tanggung Jawab Pekerjaan
- Collect, clean, and analyze freight forwarding data using SQL, Python, and other data analysis tools.
- Develop and maintain dashboards and reports using Tableau or Power BI to visualize key performance metrics.
- Identify trends and patterns in freight data to support strategic decision-making.
- Collaborate with logistics and operations teams to ensure data accuracy and relevance.
- Optimize freight routes and schedules based on data-driven insights.
- Participate in cross-functional projects to improve operational efficiency.
- Provide regular reports and presentations to stakeholders on data findings.
- Stay updated with industry trends and best practices in data analysis and logistics.
๐ Kualifikasi & Syarat
- Bachelor's degree in Data Science, Statistics, Economics, or a related field.
- 2-5 years of experience in data analysis, preferably in the logistics or freight forwarding industry.
- Proficiency in SQL, Python, and data visualization tools such as Tableau or Power BI.
- Strong analytical and problem-solving skills.
- Excellent communication and presentation skills.
- Ability to work in a fast-paced, dynamic environment.
- Familiarity with freight forwarding processes and terminology.
- Certification in data analysis or a related field is a plus.
๐ ๏ธ Keahlian
Kirim lamaran sekarang sebelum batas waktu.๐ Lamar Sekarang