EMEA Associate Economist

Morgan McKinley; Greater London; Hybrid; GBP 49,000 - 65,000; Full time

Job summary

Morgan McKinley is seeking a researcher to analyze labour market trends and respond to media requests using large data sets. You will collaborate with economists, data scientists, editorial, PR, and marketing teams to produce insights for public release and research publications.

The role emphasizes strong English communication, cloud data handling, and independent as well as collaborative work across multiple priorities in a fast-paced environment.

Qualifications

• Bachelor’s degree or higher in economics, data science, or related field.
• 2–4 years in economic research or data science; or master with 1–2 years; or PhD without experience.
• Strong understanding of labour economics and statistics.
• Experience with big data in cloud environments; proficiency in R for analysis/visualization.

Responsibilities

• Respond quickly to inbound media requests relating to trends in proprietary data.
• Collaborate with economists and data scientists on research projects.
• Apply established methodologies when investigating labour market trends and help develop new approaches.
• Analyse large datasets using R and cloud computing tools.
• Create graphs and tables using ggplot2.
• Write up research findings for media and publications.
• Bachelor’s degree and 2-4 years of experience in an economic research or data science role; or a master’s degree with 1-2 years of experience; or PhD without experience.
• A solid understanding of labour economics and statistics.
• Experience working with big data in cloud environments.
• Mastery of R or similar data analysis and visualisation tools.
• Ability to work autonomously and with others, whilst juggling several priorities at once.
• Excellent written and oral communication skills in English.

Skills

English communication

Autonomy

Team collaboration

Rapid media response

Education

Bachelor’s degree in economics or related field

Master’s degree in economics/data science

PhD in economics

Tools

R

Cloud computing

Job description

Contract Length: 6 Months Rate: £310 per day (PAYE) | Location:

London (hybrid) or UK (remote)

Day to Day

You will join a global research team and work to discover important insights within a large volume of unique data on job search and hiring. You will conduct research on labour market trends in coordination with economist, data science, editorial, PR, and marketing teams. A key part of your role will be helping the team rapidly respond to media requests for data insights, and your analysis may be published on the company's research site. This role lies at the heart of the mission to help jobseekers and employers navigate the ever-changing labour market.

Responsibilities

• Quickly respond to inbound media requests relating to trends in proprietary data.
• Collaborate with other economists and data scientists on research projects.
• Apply established methodologies when investigating labour market trends and help develop new approaches.
• Analyse large datasets using R and cloud computing tools.
• Create graphs and tables using ggplot2.
• Write up research findings for the media and research publications.
• Bachelor’s degree and 2-4 years of experience in an economic research or data science role; or a master’s degree with 1-2 years of experience; or a PhD without experience.
• A solid understanding of labour economics and statistics.
• Experience working with big data in cloud environments.
• Mastery of R or similar data analysis and visualisation tools.
• Ability to work autonomously and with others, whilst juggling several priorities at once.
• Excellent written and oral communication skills in English.