Role Overview
The ideal candidate will have deep expertise in analyzing fare collection data, passenger behavior, revenue performance, and system efficiency, with a strong understanding of transportation operations.
What You Will Do
Analyze AFC transaction data to identify trends in ridership, revenue, and passenger flow, and develop dashboards and reports tracking KPIs such as ridership, fare evasion, peak usage, and revenue leakage.
Why It Might Be a Fit
The ideal candidate will have 10+ years of experience in data analysis, ideally within public transportation or mobility sectors, and strong analytical and problem-solving skills, with excellent communication and storytelling with data.
Requirements
- Bachelor’s degree in Data Science, Statistics, Computer Science, Transportation Engineering, or related field
- 10+ years of experience in data analysis, ideally within public transportation or mobility sectors
- Proven experience working with AFC systems (e.g., Cubic, Thales, Scheidt & Bachmann, etc.)
- Strong proficiency in SQL, Python or R for data analysis, and data visualization tools (Power BI, Tableau)
- Experience with big data platforms (e.g., Hadoop, Spark) is a plus, and GIS tools (ArcGIS/QGIS) for spatial analysis, and ETL tools and data warehousing concepts
Benefits
- Tax-free salary
- Life insurance coverage
- Medical insurance
- Annual leave balance
- Company gratuity scheme
- Discretionary bonus program
- Annual flight contribution
- Transportation & housing allowances
- Employee Wellbeing Program: 24/7 access to specialists in finance, legal matters, family care, personal health, fitness, and nutrition
To apply for this job please visit slihrms.wd3.myworkdayjobs.com.

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