Data Analyst

Job description

We are seeking an experienced 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 transportation operations. Your role will involve data analysis and reporting, providing insights into passenger travel patterns, route performance, and network utilization, building predictive models for ridership forecasting, fare optimization, and demand analysis, and collaborating with internal and external teams to ensure data quality and system development.

Requirements

• 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., the employer, the employer, 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, Ability to work cross-functionally in complex environments.

Skills