Global Career Guide (EN)From Economics β†’

Data Economist

Data economists study numbers and statistics to understand how the economy works and what decisions businesses and governments should make. They help people understand what information tells us, and why it matters.

The UK Degree Advantage

A UK degree, particularly in Economics or Data Science, provides candidates with a robust understanding of both theoretical and practical aspects of the economy. UK universities are renowned for their rigorous academic standards and strong industry connections, giving graduates a competitive edge in the job market. Additionally, many UK institutions offer specialised courses that blend economics with data analytics, perfectly aligning with the needs of this role.

The Role & Expectations

As a Data Economist, you work with big sets of numbers to answer questions about the economy. You gather information from lots of sources, clean it up, and look for patterns that show how things really work - whether that is how people spend money, why some industries grow faster, or whether a new government policy will help people.

Most of your time is spent using computer software to sort and study these large datasets. You build models - which are like experiments on numbers - to test ideas and make predictions. You then explain what you found to people who make decisions, like business leaders or government officials, and make sure they understand what the numbers really mean. You have to stay current with new statistical methods and new sources of data.

Daily Responsibilities

  • Collect, clean, and analyze large datasets to extract meaningful economic insights.
  • Develop econometric models to forecast economic trends and assess policy impacts.
  • Collaborate with cross-functional teams to integrate data findings into strategic decisions.
  • Present analytical findings and recommendations to stakeholders in a clear and compelling manner.
  • Stay updated on economic theories and data analytics techniques to enhance analytical approaches.
  • Utilize advanced statistical software and programming languages to manipulate data efficiently.
  • Conduct research on current economic conditions and emerging market trends.