Transport Economist cum Data Analyst
Hyderabad, TS, IN; Bengaluru, KA, IN
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- python
- sql
- aws
- docker
- airflow
- numpy
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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
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?
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Hyderabad, TS, IN; Bengaluru, KA, IN
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- First seen by us
- Sep 8, 2026
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