Transport Modelling & Data Analyst (m/f/d)
- PTV MENA Region DMCC
- Fulltime
PTV Group. Empowering mobility as part of Umovity.
At PTV, we work together to make a real difference — every single day.
You can share your ideas, take on responsibility, and work with passionate colleagues to develop pioneering solutions that make tomorrow’s mobility safer, smarter, and more sustainable. Our culture is built on trust, creativity, and teamwork — because we believe that the best ideas emerge when people feel empowered to share and grow.
Technology and expertise are the foundations of our success — but it’s our team spirit and the way we value one another that truly set us apart.
PTV Professional Services – MENA delivers complex transport-modelling, mobility-planning and decision-support projects across the UAE, Saudi Arabia and the wider region.
We are looking for a Transport Modelling & Data Analyst (m/f/d) to support the development, application and quality assurance of transport models and mobility analyses across our regional project portfolio.
The role is broader than a conventional junior modeller position. It combines transport modelling with data analysis, GIS, Python and structured technical delivery. The successful candidate (m/f/d) will contribute to model and network development, data preparation, scenario testing, quality checks, output analysis and technical reporting.
You will join a small, agile team and work closely with senior modelling specialists, regional clients, PTV product teams and colleagues across the wider organisation. The role offers a structured pathway to develop towards transport-modelling, data and automation, or wider mobility-planning responsibilities.
What you move with us
1. Transport modelling
- Support the development and maintenance of transport networks, zones, connectors, demand matrices and model parameters.
- Prepare model inputs.
- Extract, compare and organise model results.
- Investigate errors, inconsistencies and unexpected model behaviour.
- Support strategic, multimodal, public transport, freight and operational modelling activities.
2. Data preparation and analysis
- Clean, validate and structure transport, survey, demographic, land-use and operational datasets.
- Process traffic counts, journey times, speeds, public transport and mobility data.
- Prepare model inputs and analytical datasets using controlled and repeatable processes.
- Undertake exploratory analysis and identify data gaps, anomalies or inconsistencies.
- Maintain clear records of data sources, assumptions and transformations.
- Support the preparation of calibration, validation and model performance indicators.
3. GIS and spatial analysis
- Prepare and maintain spatial datasets for networks, zones, corridors, services and study areas.
- Undertake spatial joins, overlays, network checks and accessibility analysis.
- Support the integration of GIS data with transport models and project databases.
- Produce clear maps and spatial visualisations for analysis and reporting.
4. Python and workflow support
- Develop and maintain Python scripts for data processing, model preparation, checking and output extraction.
- Apply reusable scripts and templates rather than relying on repetitive manual processes.
- Support automated scenario, QA and reporting workflows.
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Assist with testing APIs, data connectors and platform-enabled modelling processes.
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Follow appropriate version-control, file-management and code-documentation practices.
5. Quality assurance and documentation
- Complete assigned model and data checks and clearly document the results.
- Record model changes, assumptions, inputs and outputs.
- Maintain task files and supporting evidence in accordance with project QA requirements.
- Ensure that work can be reviewed and reproduced by another team member.
- Raise uncertainties, errors and data-quality concerns promptly.
6. Analysis and reporting
- Prepare technical tables, maps, charts and summaries.
- Contribute to technical notes, reports and presentations.
- Explain completed work and findings clearly during internal and client meetings.
- Develop the ability to connect technical outputs with wider planning and policy questions.
What you bring to the team
Required Skills and Experience
- Bachelor’s degree in transport planning, civil or transportation engineering, mathematics, geography, data science, computer science or a related discipline.
- Typically one to three years of relevant professional experience in transport planning, transport modelling, mobility analytics, GIS or data analysis.
- Relevant internship, academic research or substantial project experience may be considered for exceptional recent graduates.
- Sound understanding of transport planning and modelling principles.
- Practical experience with transport data, networks, demand matrices or model outputs.
- Competence in Python-based data processing and analysis.
- Experience using GIS for spatial data preparation and analysis.
- Strong numerical, analytical and problem-solving ability.
- Clear technical writing and communication skills.
- A structured and careful approach to documentation and quality control.
Technical Capabilities and Desirable Skills
The successful candidate should demonstrate capability in several of the following areas:
- Transport-model network and demand preparation.
- Strategic or multimodal transport-modelling concepts.
- Highway and public transport assignment principles.
- Calibration and validation fundamentals.
- Python and Pandas or comparable data-processing tools.
- ArcGIS, QGIS or comparable GIS software.
- SQL or structured database concepts
- Spatial-data formats and coordinate systems.
- Processing traffic counts, speeds, surveys, GPS, GTFS, AVL or smart-card information.
- Data visualisation and technical reporting.
- Structured file management and version control.
- Basic API, JSON or automated-workflow concepts.
Experience with PTV Visum or another transport-modelling platform is preferred, although strong candidates with relevant modelling fundamentals and the ability to learn quickly will also be considered.
Similarly, experience in one or more of the following would be beneficial:
- PTV Visum, PTV Vissim or PTV Vistro.
- Strategic demand models or transport master plans.
- Traffic operations, roadworks or congestion assessments.
- Transport surveys and model-validation data.
- Automated model checks, scenario processing or reporting.
- Dashboards or interactive data visualisation.
- Applied statistics, predictive analytics or introductory machine-learning techniques.
- Transport projects in the UAE, Saudi Arabia or the wider GCC.
Personal attributes
We are looking for someone who:
- Is curious, analytical and willing to investigate unexpected results.
- Is interested in both transport modelling and modern data technologies.
- Works accurately and follows structured technical processes.
- Takes ownership of assigned tasks and raises issues early.
- Learns new software, methods and project contexts quickly.
- Communicates clearly and is comfortable explaining their work.
- Responds positively to technical review and feedback.
- Shares knowledge and contributes to reusable team approaches.
- Can work across several transport modes and project types.
- Is comfortable working within a small, collaborative and agile team.
What’s waiting for you
- A unique opportunity to combine transport consultancy with business development.
- Extensive training in PTV software, mobility solutions and commercial skills.
- Flexible working hours.
- Attractive remuneration package and benefits.
- Excellent opportunities for personal and professional growth.
- The opportunity to work with some of the most innovative transport organisations.
What else you should know
- Company: PTV MENA REGION FZCO
- Contract type: Permanent contract with a 40-hour working week
- Location: UAE, Dubai
- Steffen Göckel
- Senior HR Business Partner
- +49 721 9651-0
