Deputy Manager, Bus Service Performance & Standards

LTA Land Transport Authority; Singapore; Vor Ort; SGD 60.000 - 90.000; Teilzeit

Zusammenfassung

LTA Land Transport Authority in Singapore is seeking a Deputy/Assistant Manager to oversee bus service standards and performance frameworks. You will work with bus operators to uphold reliability, review exceptions within regulations, and develop new standards for future services, including potential autonomous buses.

The role emphasizes data analysis, reporting, and stakeholder collaboration. Candidates should possess strong quantitative skills, experience with large datasets, and proficiency

Qualifikationen

• Strong quantitative and analytical skills.
• Experience handling large datasets.
• Ability to work independently and in a team.

Aufgaben

• Ensure bus operators meet service quality standards.
• Review requests for exceptions within regulatory framework.
• Manage two performance frameworks measuring reliability of bus services.
• Decide assessment parameters for bus services.
• Review waiver submissions and apply approved exclusions.
• Calculate incentives and year-end adjustments for operators.
• Keep the bus management system up to date with latest settings and reports.
• Develop new frameworks and standards for future bus services.
• Prepare regular reports and analyses on bus performance for senior management.
• Collaborate with bus operators to improve reliability.
• Respond to public feedback on bus service quality.

Kenntnisse

Statistics

Data Analytics

Operations Research

Quantitative Methods

Tools

Power BI

Tableau

Python

Excel

Jobbeschreibung

LTA Land Transport Authority in Singapore is seeking a Deputy/Assistant Manager to oversee bus service standards and performance frameworks. You will work with bus operators to uphold reliability, review exceptions within regulations, and develop new standards for future services, including potential autonomous buses.

The role emphasizes data analysis, reporting, and stakeholder collaboration. Candidates should possess strong quantitative skills, experience with large datasets, and proficiency