Senior Economist, Global Forecast and Planning

2 weeks ago

London, Greater London, United Kingdom Amazon UK Services Ltd. - A10 Full time
Job Title: Senior Economist, Global Forecast and Planning

At Amazon UK Services Ltd., we are committed to becoming the carrier of choice for all of our Selling Partners cross-border shipping needs. Our team is working towards offering a complete set of end-to-end cross-border solutions from key manufacturing hubs to footprint countries, supporting businesses that use Amazon to grow globally.

As we expand, comprehensive business insight and robust demand forecasting become vital to aid decision-making on asset utilization. We are building business models involving large amounts of data and macroeconomic inputs to produce the robust forecast needed for operational excellence and to improve the customer experience.

We are looking for an experienced economist who can apply innovative modelling techniques to real-world problems and convert them into highly business-impacting solutions.

Key Responsibilities:
  • Experienced in using mathematical and statistical approaches to create new, scalable solutions for business problems
  • Analyze and extract relevant information from business data to help automate and optimize key processes
  • Design, develop, and evaluate highly innovative models for predictive learning
  • Establish scalable, efficient, automated processes for large-scale data analyses, model development, model validation, and model implementation
  • Research and implement statistical approaches to understand long-term and short-term business trends and support strategies
BASIC QUALIFICATIONS:
  • Industry, consulting, government, or academic research experience
  • Design and use of business case models
PREFERRED QUALIFICATIONS:
  • Deep knowledge in time series econometrics, asset pricing, empirical macroeconomics, or the use of micro and panel data to improve and validate traditional aggregative models
  • Degree in mathematics, economics, applied science, engineering, or equivalent
  • Background in statistics methodology, applications to business problems, and/or big data
  • Research track record
  • Effective verbal and written communications skills with both economists and non-economist audiences
  • Experience in developing and executing an analytic vision to solve business-relevant problems

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