Rail Asset Analytics Engineer | Data Pipelines & Insights

Government Technology Agency (GovTech); Singapore; On-site; SGD 90,000 - 140,000; Full time

Job summary

Land Transport Authority is seeking a Data Scientist / Data Analytics Engineer for Asset Management (Data & Analytics). You will design and build data pipelines, transform asset data, and develop analytics solutions to drive asset management insights for rail networks.

You will work with diverse teams including LTA, rail operators, and system manufacturers to review submissions, test solutions, and implement data engineering/analytics projects that support asset performance and decision-making.

Qualifications

• Design, develop, and maintain data pipelines for asset data.
• Ensure data quality, integrity, and accessible data for analytics.
• Translate stakeholders' data needs into technical specs for engineering/analytics.
• Perform data analysis to uncover trends informing asset management.
• Build data models and analytics frameworks aligned with business goals.

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.

Skills

Data engineering

Data analytics

Python

SQL

ETL tools

Tableau

Power BI

ML models

Data modelling

Education

Bachelor's degree in Data Science/Computer Science/Engineering

Relevant experience in data analytics

Tools

Python

SQL

ETL tools

Tableau

Power BI

LLMs

Job description

Land Transport Authority is seeking a Data Scientist / Data Analytics Engineer for Asset Management (Data & Analytics). You will design and build data pipelines, transform asset data, and develop analytics solutions to drive asset management insights for rail networks.

You will work with diverse teams including LTA, rail operators, and system manufacturers to review submissions, test solutions, and implement data engineering/analytics projects that support asset performance and decision-making.