AFC Data Analyst
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Key skills for this role
About the Role
Analyze AFC transaction data to provide insights on ridership and revenue, utilizing advanced analytics and collaborating with stakeholders in public transportation.
Key Skills for This Role
Responsibilities
- Analyze AFC transaction data (smart cards, mobile tickets, contactless payments) to identify trends in ridership, revenue, and passenger flow
- Develop dashboards and reports tracking KPIs such as ridership, fare evasion, peak usage, and revenue leakage
- Perform data validation and quality checks to ensure integrity of AFC datasets
- Provide insights into passenger travel patterns, route performance, and network utilization
- Support planning teams with demand forecasting and capacity planning
- Build predictive models for ridership forecasting, fare optimization, and demand analysis
- Apply statistical techniques and machine learning where applicable
- Work with AFC system vendors and internal IT teams to manage data pipelines and integrations
- Extract, transform, and load (ETL) large datasets from AFC systems and data warehouses
- Collaborate with operations, finance, and planning teams to translate data into actionable insights
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)
- Strong proficiency in SQL (advanced level)
- Proficiency in Python or R for data analysis
- Experience with data visualization tools (Power BI, Tableau)
- Strong understanding of public transportation operations, fare structures, and transit KPIs
- Excellent analytical and problem solving skills
- Excellent communication and storytelling with data
- Ability to work cross functionally in complex environments
Full Job Posting
Overview
- We are seeking an experienced AFC Data Analyst to support data driven decision making within public transportation systems. The ideal candidate will have deep expertise in analyzing fare collection data, passenger behavior, revenue performance, and system efficiency, with a strong understanding of t
Your role
- Analyze AFC transaction data (smart cards, mobile tickets, contactless payments) to identify trends in ridership, revenue, and passenger flow.
- Develop dashboards and reports tracking KPIs such as ridership, fare evasion, peak usage, and revenue leakage.
- Perform data validation and quality checks to ensure integrity of AFC datasets.
- Provide insights into passenger travel patterns, route performance, and network utilization.
- Support planning teams with demand forecasting and capacity planning.
- Analyze multimodal integration (bus, metro, tram) using AFC data.
- Build predictive models for ridership forecasting, fare optimization, and demand analysis.
- Apply statistical techniques and machine learning where applicable.
- Conduct scenario analysis to support policy or fare structure changes.
- Work with AFC system vendors and internal IT teams to manage data pipelines and integrations.
- Extract, transform, and load (ETL) large datasets from AFC systems and data warehouses.
- Ensure compliance with data governance and security standards.
About you
- Bachelor's degree in Data Science, Statistics, Computer Science, Transportation Engineering, or related field. Master's degree preferred.
- 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 (advanced level).
- Python or R for data analysis.
- Data visualization tools (Power BI, Tableau).
- Experience with big data platforms (e.g., Hadoop, Spark) is a plus.
- GIS tools (ArcGIS/QGIS) for spatial analysis.
- ETL tools and data warehousing concepts.
- Strong understanding of public transportation operations, fare structures and ticketing systems, transit KPIs and performance metrics.
- Strong analytical and problem solving skills.
- Excellent communication and storytelling with data.
Rewards & 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.
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