Transport Economist cum Data Analyst

Arcadis is the worlds leading company delivering sustainable design engineering and consultancy solutions for natural and built assets.

We are more than 34000 people in over 30 countries dedicated toimproving quality of life. Everyone has an important role to play. With the power of many curious minds together we can solve the worlds 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 costbenefit 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:
Masters degree in Economics Econometrics Transport Planning Data Science or
equivalent.
812 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 everyones contribution matters. Its 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.

Youll do meaningful work and no matter what role youll 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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