Supply Chain Data Insights Analyst
1 month ago
About the Role:
As a member of the #TeamPSA, you will be part of a diverse and global team at the forefront of creating cargo solutions to enable more agile, resilient and sustainable supply chains. Experience first-hand and drive supply chain transformation from Singapore and through PSA's global network of ports, logistics and supply chain solutions.
Key Responsibilities:
Develop data analytics solutions that support PSA global objectives as well as local business requirements.
Work with key internal customers to understand, shape, agree and deliver on their data analytics requirements.
Responsible for ideation, design, development and deployment of data analytics solutions, descriptive to prescriptive based on the requirements.
Select features, build and optimize classifiers using machine learning techniques from large and diverse datasets.
Analyse high-volume, high-dimensionality and high-volatility structured and/or unstructured data to obtain business insights and recommendations using statistical techniques and PSA Data Analytics Platform
Work and collaborate with data science and data engineering team at all stages of CRISP-DM Methodology
Align to PSA data policy, data governance standards and best practices and document as required
Requirements:
Expertise in Python programming language, in-depth knowledge of AI/ML libraries/techniques and knowledge in statistical methods useful to develop data analytic solutions for a diverse range of use-cases.
Experience in one of the visualisation tools, preferably Power BI and experience in building data models/cubes using SSAS or Azure Analysis Services
Full development lifecycle experience for the data analytics solutions such as business & data understanding, data preparation, model development, visualization, validation and deployment.
Experience in developing AI/ML models in supervised, unsupervised and reinforcement machine learning techniques for a variety of data analytics problems.
Ability to learn and apply open source data science technologies on large datasets to explore, experiment and generate new insights and develop innovative solutions.
A good degree in Computer Science, Statistics, Data Management, Engineering and /or Masters in Business Analytics or a related field.
Effective communicator who can work with diverse stakeholders to define requirements, refine data analytics use cases and present the data insights.
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