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Urgent! [LTA-RAOM] SNR / EXEC / ENGINEER (DATA ANALYTICS & APPLICATIONS) Job Opening In Singapore, Singapore – Now Hiring Land Transport Authority
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.
About Land Transport Authority
The Land Transport Authority (LTA) is a statutory board under Ministry of Transport that spearheads land transport developments in Singapore.
We are seeking dynamic, energetic, highly motivated, passionate and qualified professionals to join us.
Many opportunities & challenges await those who are keen on an exciting career to realise our commitment to envision & implement an integrated transport system.
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Unlock Your LTA RAOM Potential: Insight & Career Growth Guide
Real-time LTA RAOM Jobs Trends in Singapore, Singapore (Graphical Representation)
Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph below. This graph displays the job market trends for LTA RAOM in Singapore, Singapore using a bar chart to represent the number of jobs available and a trend line to illustrate the trend over time. Specifically, the graph shows 308 jobs in Singapore and 299 jobs in Singapore. This comprehensive analysis highlights market share and opportunities for professionals in LTA RAOM roles. These dynamic trends provide a better understanding of the job market landscape in these regions.
Great news! Land Transport Authority is currently hiring and seeking a [LTA RAOM] SNR / EXEC / ENGINEER (DATA ANALYTICS & APPLICATIONS) to join their team. Feel free to download the job details.
Wait no longer! Are you also interested in exploring similar jobs? Search now: [LTA RAOM] SNR / EXEC / ENGINEER (DATA ANALYTICS & APPLICATIONS) Jobs Singapore.
An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at Land Transport Authority adheres to the cultural norms as outlined by Expertini.
The fundamental ethical values are:The average salary range for a [LTA RAOM] SNR / EXEC / ENGINEER (DATA ANALYTICS & APPLICATIONS) Jobs Singapore varies, but the pay scale is rated "Standard" in Singapore. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.
Key qualifications for [LTA RAOM] SNR / EXEC / ENGINEER (DATA ANALYTICS & APPLICATIONS) typically include Other General and a list of qualifications and expertise as mentioned in the job specification. Be sure to check the specific job listing for detailed requirements and qualifications.
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Before the Interview:To prepare for your [LTA RAOM] SNR / EXEC / ENGINEER (DATA ANALYTICS & APPLICATIONS) interview at Land Transport Authority, research the company, understand the job requirements, and practice common interview questions.
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