AFC Data Analyst
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Key skills for this role
About the Role
AtkinsRéalis is seeking an experienced AFC Data Analyst to support data-driven decision-making within public transportation systems.
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.
- Build predictive models for ridership forecasting, fare optimization, and demand analysis.
- Work with AFC system vendors and internal IT teams to manage data pipelines and integrations.
- 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, etc.)
- Strong proficiency in SQL (advanced level)
- Strong 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 ticketing systems, transit KPIs and performance metrics
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.
Data Analysis & Reporting
- 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.
Transportation Insights
- 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.
Advanced Analytics
- 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.
System & Data Management
- 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.
Stakeholder Collaboration
- Collaborate with operations, finance, and planning teams to translate data into actionable insights.
- Present findings and recommendations to senior stakeholders and leadership.
- Support audits and regulatory reporting requirements.
Education
- Bachelor's degree in Data Science, Statistics, Computer Science, Transportation Engineering, or related field.
- Master's degree preferred.
Experience
- 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.).
Technical Skills
- Strong proficiency in SQL (advanced level), 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.
- Experience with GIS tools (ArcGIS/QGIS) for spatial analysis.
- Experience with ETL tools and data warehousing concepts.
Domain Knowledge
- Strong understanding of public transportation operations, fare structures and ticketing systems, and transit KPIs and performance metrics.
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