[LTA-RAOM] MGR / SNR / EXEC ENGINEER (DATA ANALYTICS & APPLICATIONS)

Land Transport Authority (LTA) Singapore; Singapore; On-site; SGD 120,000 - 180,000; Full time

Job summary

Land Transport Authority (LTA) Singapore is seeking a Data Scientist / Data Analytics Engineer focused on Asset Management. You will design data pipelines and analytics solutions to support asset performance across rail assets, collaborating with rail operators and manufacturers to drive data-driven decisions.

Responsibilities include data engineering, analytics, and dashboard development, with emphasis on data quality and scalable data models.

Qualifications

• Experience in data engineering and analytics for asset management or rail domain is preferred.
• Strong programming and data modelling skills.
• Ability to translate stakeholder requirements into technical specs.

Responsibilities

• Design, build, and maintain data pipelines for asset-related data.
• Ensure data quality, integrity, and accessible analytics data assets.
• Collaborate with stakeholders to define data requirements and analytics deliverables.
• Conduct data analysis to identify trends and insights informing asset management decisions.
• Develop data models and analytics frameworks to support business goals.
• Create dashboards and visualisations to communicate asset performance metrics.
• Manage data storage solutions and ensure efficient data retrieval and analysis.
• Document data engineering processes and analytics workflows.

Skills

Python

SQL

Data analysis

Communication

Tools

Tableau

Power BI

LLM

ML models

ETL tools

Job description

What the role is

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

What you will be working on

You will be part of the Asset Management team focusing on data engineering and data analytics to support asset management use cases for the rail network. You will be responsible for designing and building data pipelines to prepare and optimize asset-related data for analytical applications while also involved as part of the implementation team to develop analytics solutions to drive asset management insights and enhance decision-making. You will work closely with teams from different disciplines within LTA, rail operators, system manufacturers on the data of the rail assets and on the rail asset management business use cases. You may also be required to review technical submissions and participate in the testing and commissioning of the data engineering/analytical decision support solutions.

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.