Transport Economist cum Data Analyst

Arcadis is the world's leading company delivering sustainable design, engineering, and consultancy solutions for natural and built assets.

We are more than 34,000 people, in over 30 countries, dedicated to improving quality of life. Everyone has an important role to play. With the power of many curious minds, together we can solve the world’s most complex challenges and deliver more impact together.

Role description:

As a senior team member, you will lead end-to-end economic modelling 
and forecasting for traffic due diligence assignments. You will develop modelling 
frameworks, guide ETL and data architecture, oversee model governance and validation, 
convert analytical findings into clear commercial recommendations, and work directly with 
clients and project leaders.

Role accountabilities:
• Lead and own investment-grade economic analysis and modelling for traffic due 
diligence, tariff strategy, sensitivity and scenario analysis, and cost–benefit inputs.
• Lead development of toll revenue forecasting frameworks and long-term demand 
models; ensure robust validation and defensible assumptions.
• Architect and oversee data ingestion, ETL pipelines and data quality processes for toll 
MIS, OD surveys and auxiliary sources.
• Develop, validate and document advanced time-series, state-space and econometric 
models; implement ML solutions where appropriate.
• Present findings and recommendations to senior clients, stakeholders and investment 
committees; produce high-quality technical reports and executive summaries.
• Coordinate closely with traffic engineering teams for field data validation, survey design 
and technical reconciliation.
• Mentor and review work of junior analysts; manage small project teams and timelines.
• Contribute to business development by scoping technical approaches, estimating effort 
and advising on methodology for proposals.

Qualifications & Experience:
• Master’s degree in Economics, Econometrics, Transport Planning, Data Science or 
equivalent.
• 8–12 years’ relevant experience in economic analysis, forecasting, transport analytics or 
similar; demonstrable experience in investment-grade traffic due diligence and toll 
revenue modelling is required.
• Expert Python (pandas, numpy, statsmodels, scikit-learn), advanced SQL (Postgres, 
BigQuery) and Advanced Excel skills.
• Deep understanding of time-series forecasting, econometrics, causal inference and 
model validation techniques.

• Experience with reproducible data pipelines and tooling (Docker, Airflow, Git, CI) and 
cloud analytics (GCP/BigQuery or AWS).
• Strong client-facing skills and experience presenting to senior stakeholders.
• Excellent technical writing skills and ability to translate analysis into commercial 
recommendations.
Preferred
• Familiarity with traffic data sources (MIS, axle-load, OD surveys) and traffic engineering 
concepts.
• Experience with visualization tools (PowerBI/Tableau), GIS (QGIS/ArcGIS) and 
deployment of models in production.
• Prior experience leading teams an

Why Arcadis?

We can only achieve our goals when everyone is empowered to be their best. We believe everyone's contribution matters. It’s why we are pioneering a skills-based approach, where you can harness your unique experience and expertise to carve your career path and maximize the impact we can make together.

You’ll do meaningful work, and no matter what role, you’ll be helping to deliver sustainable solutions for a more prosperous planet. Make your mark, on your career, your colleagues, your clients, your life and the world around you.

Together, we can create a lasting legacy.

Join Arcadis. Create a Legacy.

Our Commitment to Equality, Diversity, Inclusion & Belonging

We want you to be able to bring your best self to work every day which is why equality and inclusion is at the forefront of all our activities. Our ambition is to be an employer of choice and provide a great place to work for all our people. We are an equal opportunity employer; women, minorities, and people with disabilities are strongly encouraged to apply. We are dedicated to a policy of non-discrimination in employment on any basis including race, caste, creed, colour, religion, sex, age, disability, marital status, sexual orientation, and gender identity.

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