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. The role involves analyzing fare collection data, developing dashboards, and building predictive models.
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
- 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
- Present findings and recommendations to senior stakeholders and leadership
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)
- 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
Full Job Posting
Job 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.
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).
- Strong proficiency in Python or R for data analysis.
- Experience with 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.
- 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.
Preferred Qualifications
- Experience in smart mobility or digital ticketing transformation projects.
- Knowledge of contactless EMV payment systems.
- Familiarity with real time data analytics in transportation.
- Experience in large scale metro, rail, or bus network environments.
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.
About AtkinsRéalis
- We're AtkinsRéalis, a world class engineering services and nuclear organization.
- We connect people, data and technology to transform the world's infrastructure and energy systems.
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