Lta-raom] Snr

16 hours ago

Singapore LTA Land Transport Authority Full time

**[What the role is]**

DATA SCIENTIST / DATA ANALYTICS ENGINEER (ASSET MANAGEMENT (DATA & ANALYTICS))

**[What you will be working on]**

Key Responsibilities:

- Design, develop, and maintain data pipelines to collect, process, and transform asset-related data from various sources for both engineering and analytical purposes.
- Ensure data integrity, quality, and accessibility by implementing best practices in data engineering and management.
- Collaborate with stakeholders to understand their data requirements and translate them into technical specifications for both data engineering and analytics projects.
- Conduct data analysis to identify trends, patterns, and insights that inform asset management practices and decision-making.
- Develop and implement data models and analytics frameworks that support business objectives and enhance asset performance.
- Create and maintain dashboards and visualizations that effectively communicate asset performance metrics and analytics findings to stakeholders.
- Implement and manage data within the organisation’s storage solutions (e.g., databases, data lakes) to facilitate efficient data retrieval, access and analysis.
- Work with cross-functional teams to prioritize and implement analytics-related user stories, ensuring timely delivery of data-driven insights.
- Document data engineering processes, data flows, and analytics workflows to support knowledge sharing and onboarding.
- Stay current with industry trends, tools, and best practices in data engineering and analytics to continuously improve processes and solutions.

**[What we are looking for]**

- Knowledge in Data Science, Computer Science, Engineering, or a related field.
- Relevant experience in both data engineering and data analytics, railway engineering or a similar role will be an advantage.
- Proficiency in data engineering tools, programming languages and data modelling techniques (e.g., Python, SQL, ETL tools) as well as analytics tools (e.g. Tableau, Power BI, LLM, ML models).
- Strong analytical and problem-solving skills, with a focus on data quality and performance optimization.
- Excellent written and verbal communication skills to effectively convey technical concepts to non-technical stakeholders.
- Ability to work independently and collaboratively in a team environment.
- A proactive mindset with a passion for leveraging data to drive improvements in asset management processes and outcomes.

As part of the shortlisting process for the role, you may be required to complete a medical declaration and / or undergo further assessment.

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