Senior Economist

Hiring: Lead EconomistExperience: 5–7 yearsQualification: Postgraduate degree in Economics with Statistics, or an equivalent qualificationRole Type: Individual ContributorRole OverviewWe are looking for an experienced Economist to conduct macroeconomic research, economic forecasting, and data-driven analysis to support strategic business decisions. The role involves analysing economic trends, government and regulatory policies, and their impact on business growth and industry performance.Key Responsibilities- Provide macroeconomic insights and analytical inputs to senior management to support strategic decision-making.- Analyse government policies, regulatory developments, and macroeconomic trends to assess their impact on business performance.- Develop economic forecasting models for macroeconomic variables and key business parameters.- Build empirical frameworks to understand changes in demand, business patterns, and economic growth.- Conduct primary and secondary research to test hypotheses and develop analytical frameworks.- Identify external factors that may influence business performance and develop early-warning indicators for potential risks and growth opportunities.- Prepare research reports, presentations, and data-driven insights for senior leadership.- Apply statistical models and interpret economic variables to support business strategy.- Explore non-traditional data sources to improve research quality and analytical outcomes.- Lead economic research discussions and knowledge-sharing initiatives across business functions.Required Skills and Qualifications- Postgraduate degree in Economics with Statistics, or an equivalent qualification with a strong foundation in econometrics, statistics, mathematics, or engineering.- 5–7 years of relevant experience in economic research, macroeconomic analysis, or economic forecasting.- Strong analytical skills and experience in data manipulation and interpretation.- Knowledge of microeconomics, statistical forecasting models, and classical statistical techniques, including regression and logistic regression.- Excellent working knowledge of MS Excel and PowerPoint.- Familiarity with SAS, SQL, R, or Python would be an advantage.- Strong written and verbal communication skills.- Ability to work independently, manage research projects, and deliver within timelines.