Knowledge Analyst - Econometrics

  • Abu Dhabi
  • Dubai

Who You'll Work With

You will be based in our Abu Dhabi or Dubai office, as part of the Middle East Client Capabilities Hub.
You will work with clients, consultants and internal teams to analyze large quantities of data, build models and create tools that help clients identify emerging economic trends, and develop insights to guide decision-making. This role will also involve collaboration with leading international experts, including the McKinsey Global Institute – McKinsey’s internal economics think-tank.

What You'll Do

You will be responsible for the entire analytical process, from outlining the type of solution through to implementation, interpretation of results and transferring of capabilities to the client or McKinsey colleagues.
In this role, you will develop strong problem-solving and consulting skills, building deep expertise within the economic development and macroeconomic modelling space. You will have the opportunity to broaden your exposure across the full range of capability areas within the team, such as macroeconomic modeling, international trade and investment, industry analytics, economic development and urbanization, among others.
Working on client projects and exchanging experiences with your colleagues means you will face new intellectual challenges on a daily basis, while continuously building your methodological knowledge and skills.


  • Undergraduate or advanced degree in economics, applied economics or an analytics field (e.g., statistics, engineering, etc.); MS or PhD is a plus
  • 2+ years of work experience preferably with think tanks, research centers, and economic modelling departments
  • Demonstrated expertise in economics, applied economics, econometrics and statistics; specific knowledge or experience in development economics a plus
  • Sound conceptual foundation in statistics and mathematics; quantitative skills and comfort working with advanced analytical techniques is critical
  • Knowledge of advanced macroeconomic models, DSGE, CGE, and other econometric models  
  • Knowledge and practical experience in econometric applications (e.g., Eviews) and advanced analytics-oriented programming languages (e.g., Python and R) is preferred
  • Excellent problem solving skills, including the ability to disaggregate issues, identify root causes and recommend solutions
  • Ability to communicate analytical and technical content in a clear and comprehensible way
  • Strong verbal and written communication skills in English
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Job Skill Group - CSS Pre-Associate
Job Skill Code - KA - Knowledge Analyst
Function - Transformation
Industry - Public Sector
Post to LinkedIn - Yes
Posted to LinkedIn Date - Sun Nov 20 00:00:00 GMT 2022
LinkedIn Posting City - Dubai
LinkedIn Posting State/Province -
LinkedIn Posting Country - United Arab Emirates
LinkedIn Job Title - Knowledge Analyst - Econometrics
LinkedIn Function - Consulting;Research
LinkedIn Industry - Public Policy;Research
LinkedIn Seniority Level - Mid-Senior level