Role Overview
We are seeking a skilled and motivated Economist/Modeler to join our data team. The successful candidate will play a critical role in developing and implementing systematic models to forecast revenue based on economic variables. This position requires a strong foundation in econometrics, statistical analysis, and advanced programming skills in R and Python. The ideal candidate should be passionate about data-driven decision-making and have the ability to translate complex economic theories into practical insights.
Key Responsibilities
Assist with the design and building of econometric models to forecast revenue using economic and business variables.
Implement and validate models to ensure accuracy, robustness, and reliability.
Analyze large datasets to identify trends, correlations, and key economic indicators affecting revenue.
Extract, clean, and preprocess data from diverse sources for use in predictive modeling.
Conduct research on macroeconomic and microeconomic factors impacting revenue streams.
Stay updated on economic trends, policy changes, and market developments to incorporate into models.
Communicate findings, insights, and recommendations effectively to technical and non-technical stakeholders.
Utilise programming languages (R, Python) and data visualization tools to develop and present insights.
Leverage advanced statistical software and techniques to enhance modeling capabilities.
Qualifications & Skills

TECHNICAL SKILLS:

Strong proficiency in R and Python for data analysis and modeling.
Expertise in econometric techniques such as time-series analysis, regression modeling, and panel data analysis.
Experience working with large datasets and database management tools.
Analytical Skills: Advanced understanding of economic theory and its application to real-world problems.
Strong problem-solving skills with attention to detail.

Please refer the Job description for details