Associate Economics Analyst

3 days ago

Gurgaon, Haryana, India Mastercard Full time ₹ 1,04,000 - ₹ 1,30,878 per year

About the RoleWe are looking for an economic analyst to engage in on-soil data analytics and economic research for the European region. This individual will report to the Director, Senior Economist, Europe, and will have the following responsibilities:

Support client and stakeholder engagements for MEI across Europe

Support collaboration with external clients, academic institutions, and industry partners.

Develop and test hypotheses at the intersection of economics and retail and commerce. Assist in structuring work at the stream or small project level.

Identify creative analyses and develop proprietary diagnostic indices by analyzing large and complex datasets, including big data and macroeconomic data

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 R&C economic research; share and leverage to continuously improve quality and productivity.

All About YouBachelor's degree in Economics (preferred), Statistics, or Mathematics.

Proficiency in SQL and data visualizations

Ability to think critically and problem solve, willingness to learn

Excellent communication

Expertise in R, Python, or other major programming language is essential

Experience using data visualization tools like Tableau Power BI.

Knowledge of JavaScript for visualization is a plus.

Proficiency 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 desirable

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