We are looking for an economic analyst to conduct research into the health and wellness of Small and Medium Enterprises (SMEs) across the globe, developing proprietary measures of the vitality of this sector, and identifying important preconditions and leading indicators for SME success.
This individual will report to the Lead of Strategic Partnerships at MEI, and will have the following responsibilities:
Support client and stakeholder engagements for the Economics Institute, specifically focusing on Small and Medium Enterprises (SMEs) economic research.
Support collaboration with external clients, academic institutions, and industry partners.
Develop and test hypotheses at the intersection of economics and the SME community. Assist in structuring work at the stream or small project level.
Identify creative analyses and develop proprietary diagnostic indices about SMEs in aggregate.
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, specifically in the context of economic research about SMEs.
Actively participate in new solution development and support thought leadership activities by building knowledge, know-how, and best practices related to SME 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 on SMEs and economic research.
Understanding of Statistics and Econometric concepts, modeling and forecasting techniques, particularly in relation to SMEs.
Proficiency in SQL and Hadoop is essential.
Expertise in R, Python, or other major statistical packages is essential.
Experience using data visualization tools like Tableau.
Knowledge of JavaScript for 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.