Mobility

Mobility operators move large numbers of people and need to do so efficiently. A train operator needs to know how many passengers to expect on each route. An airline needs to fill seats at the right price. A public transit authority needs to schedule vehicles to match demand patterns throughout the day. All of these problems require forecasting, optimisation, and data analysis.

The daily work involves working with trip data, ticket sales, and operational records. You build models to forecast demand, optimise timetables or pricing, and evaluate service performance. When disruptions occur, such as delays or cancellations, analysts model the impact and support operational decisions.

The main tools are Python and SQL for analysis, and optimisation libraries for scheduling and routing problems. Excel is widely used for operational reporting. Knowledge of how transport networks are structured and how pricing works in regulated or competitive markets is useful context.

The sector includes both public and private operators. Public transit authorities operate under government mandates and have different incentives than commercial airlines or ride-hailing companies. In the Netherlands, rail and public transit are largely publicly operated, while aviation and ride-hailing are commercial. The sector connects to Transportation & Logistics and to roles like Operations Analyst, Data Analyst, and Data Scientist.