Executive, Data Analytical, Business Development
Singapore, Singapore
People Profilers
Headhunting, Recruitment, Career Transition, Employer of Record, Payroll Parking, Executive Search, Employment & Work Pass Application.- Shipping MNC
- Location: CBD
Essential Responsibilities:
- Collect, clean, and analyze large datasets from various sources including booking systems, cargo flow modules, management reporting and customer databases
- Develop and maintain data models, dashboards, and reports to visualize key performance indicators (KPIs) for various trade teams to make informed decisions
- Assist with the implementation of eCommerce projects and optimization of corporate systems, data and tools to enhance department productivity
- Identify patterns, trends, and anomalies in shipping data to optimize cargo selections, routing management, and inventory management
- Collaborate with cross-functional teams including ISD, finance, logistics and operations to implement data-driven solutions and process improvements
- Steer improvement mindset and adoption of new technologies & processes
- Present findings and actionable recommendations to stakeholders through clear and concise reports and presentations
Job Requirements
- Bachelor's degree in Maritime, Data Science, Statistics or equivalent.
- Possess excellent data management, spreadsheet, and presentation skills. Knowledge in Tableau, Power BI preferred but not compulsory.
All Successful candidates can expect a very competitive remuneration package and a comprehensive range of benefits.
Alternatively, you may wish to email your resume in a detailed Word format to debbie@peopleprofilers.com
We regret that only shortlisted candidates will be notified
People Profilers Pte Ltd, 20 Cecil Street, #08-09 PLUS Building, Singapore 049705
Tel: 6950 9748
http://www.peopleprofilers.com
Consultant in charge: So Boon Shyen, Debbie
EA Licence Number: 02C4944
Registration Number: R1111376
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Data management E-commerce Finance KPIs Power BI Statistics Tableau
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