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Haver Analytics, a NYC based company has entry level positions available with our economic data group in our London office located in the City. We are seeking energetic candidates with a Bachelors degree in Economics to join our growing team of professionals.

Recent university graduates are encouraged to apply. We are looking for candidates who are detail oriented and have good computer and communication skills. The position includes tracking time-sensitive economic and financial time series from sources to update our databases, running quality assurance checks, organizing and adding new surveys, and learning how to automate processes.

A position is available on our London team with a starting salary range of £28K-29K. Hours are from 7:00 AM to 4:30 PM. We are seeking an individual with a strong background in Python to help enhance and further streamline our data processes. This is a fantastic opportunity to put your coding skills into practice.

We are working in a flexible, hybrid environment of 3 days per week in-person at our office. You will need a computer with good internet connectivity at home. This is an excellent opportunity to learn about important economic and financial indicators that the community of economists, strategists and risk managers within the corporate marketplace and public sector rely on.

Eligibility

  • The right to work in the UK & Ireland. Haver Analytics is unable to provide sponsorship to candidates as the Home Office’s eligibility criteria will not be met.

Requirements

  • Submit cover letter and resume
  • Have a Bachelors degree in economics that states your degree classification
  • Live within commuting distance
  • Be detail oriented and have good computer and communication skills
  • Strong foundation in Python
  • Fluency in Chinese or Arabic is a plus

Benefits

  • Review and salary raise each 6 months for first year. Annual thereafter
  • Performance-based bonus given in September each year
  • Eligible for company profit sharing after 6 months
  • Tuition reimbursement for work-related courses