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Data Analyst

2 weeks ago

Singapore MPA Maritime and Port Authority of Singapore Full time

[What the role is]

Undertake the functions of Data Analyst / Assistant Senior Data Analyst in the Statistics & Data Systems (SDS) department to support the collection, storage and analysis of data in a scalable, repeatable and secure manner.

[What you will be working on]
- Independently conceptualize the full life cycle of a data science solution, from ideation and design, to development and deployment. Integrate the developed solutions with organizational operations to improve current processes by reducing organizational costs and man hours, directly contributing to the organization's long-term vision of automation to increase productivity.
- Collaborate with system architects and the core data engineering team to ensure the data architecture aligns with business requirements, data management and governance policies.
- Serve as internal consultant to departments on data analytics best practices.
- Profile MPA’s data science and AI (DSAI) capabilities and initiatives to gain mindshare within the government and industry.
- Scope out business problems to be solved through understanding the business stakeholders’ needs. Collaborate closely with business users to generate relevant data analysis that can help to achieve business goals.
- Develop, deploy and maintain analytic and ML models, utilising large datasets such as operational, sensor or unstructured data to support business use cases such as operations monitoring, simulations, and forecasting.
- Identify data processes and tasks that can be automated or supplemented with AI/ML models to increase officer productivity.
- Develop data competencies across MPA to promote a data-driven culture, via workshops and co-development of data products.

[What we are looking for]
- Background in Data Science, Computer Engineering, Information Systems, Business Analytics, or other related disciplines that provide proficiencies in data science.
- At least 3 years’ of experience in data science and analytics. Experience in deploying ML models in a production setting and working with cloud technologies is a plus.
- Strong coding and scripting capability, e.g. expertise in Python/R/SQL.
- Strong knowledge and expertise on AI/ML methods, including cluster analysis, predictive models and natural language processing.
- Knowledge or experience in any of the following areas are a plus:

- Experience in developing near real-time analytics models
- Experience working with large datasets, such as vessel AIS, satellite imagery, or geospatial data.
- Experience in cloud platforms used in Government Commercial Cloud, e.g. AWS and Azure
- Understand business processes well.
- Creative and innovative in solving problems.
- Achievement driven and delivery focused while maintaining required quality.
- Team player with strong organisational and people management skills.
- Experience in collaborating with interdisciplinary teams that combine technical, business and data science competencies.
- Excellent communication skills, both oral and written, with ability to pitch ideas and influence stakeholders.