Economic Analyst, North America; NAM

Position: Economic Analyst, North America (NAM)
We are looking for an economic analyst to engage in data analytics and economic research for U.S. and Canada. This individual will report to the VP, Lead Economist for North America at MEI, and will have the following responsibilities:
Support client and stakeholder engagements for the Economics Institute, specifically focusing on NAM economic research.
Support collaboration with external clients, academic institutions, and industry partners.
Generate initial insights to help create effective, impactful, and quality-assured storylines and visuals at the stream or small project level.
Synthesize analyses into clear, sound recommendations. Outline and help write reports and draft client presentations at the work stream or project level.
Enhance existing products and partner with internal stakeholders to create new solutions.
Proactively seek new knowledge and structure project work to facilitate the capture of intellectual capital with minimal oversight.
Actively participate in new solution development and support thought leadership activities by building knowledge, know-how, and best practices related to economic research; share and leverage to continuously improve quality and productivity.
All About You :

Required:

Bachelors degree in Economics (preferred), Statistics, or Mathematics.
Experience in statistical modeling, quantitative analysis, data engineering, R development, with a focus economic research.
Understanding of statistics and econometric concepts, modeling and forecasting techniques
Proficiency in SQL and Hadoop is essential.
Expertise in R, Python, or other major statistical packages is essential.

Experience with Tableau is strongly preferred.
Knowledge of JavaScript for data visualization is a plus.
Proficient in key econometric and statistical techniques such as predictive modeling, logistic regression, survival analysis, time series modeling, design of experiments, decision trees, and data mining methods.
Willingness to learn additional statistical applications or software as required.
Experience in the financial services industry is desirable.
Excellent communication and strong writing skills required.