Transport Economist cum Data Analyst
Arcadis (company site, opens in a new tab)8–12 yrsHyderabad, BengaluruOn-siteDirect career pageEst. 20–35 LPA
Posted on 7 Sept
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Job description
Structured overview of role & requirements
About This Role
- Lead end-to-end economic modelling and forecasting for traffic due diligence and toll revenue projects.
- Develop and validate advanced econometric and time-series models; oversee data pipelines and model governance.
- Present technical findings and commercial recommendations to senior clients; manage small teams and contribute to business development.
Minimum Requirements
- Master’s degree in Economics, Econometrics, Transport Planning, Data Science or equivalent.
- 8–12 years of relevant experience including investment-grade traffic due diligence and toll revenue modelling.
- Expert skills in Python (pandas, numpy, statsmodels, scikit-learn), advanced SQL (Postgres, BigQuery), and Advanced Excel.
- Experience with data pipelines and tools (Docker, Airflow, Git, CI), and cloud analytics platforms (GCP/BigQuery or AWS).
Ideal Candidate Profile
- Experienced in economic analysis and transport analytics with a focus on rigorous, investment-grade modelling.
- Comfortable leading technical teams and client engagements while managing project timelines.
- Skilled in translating complex quantitative analysis into clear, actionable commercial insights for senior stakeholders.