Sr. Research Analyst

We are seeking a Senior Research Analyst to join a growing research and analytics team. This individual will analyze financial, transportation, demographic, and socioeconomic data to identify trends, develop predictive models, and provide data-driven insights that support strategic decision-making. The ideal candidate will serve as both a technical expert and project lead, driving advanced economic research, forecasting, and analytical initiatives. This role is HYBRID (2 days onsite, 3 remote) in San Diego, CA

Key Responsibilities

• Develop and maintain econometric and statistical models to support forecasting, policy analysis, and strategic planning efforts.
• Analyze economic, financial, demographic, and market data to identify trends and quantify impacts.
• Conduct economic impact studies, benefit-cost analyses, and forecasting projects.
• Apply quantitative and econometric methodologies to solve complex business and economic challenges.
• Interpret current and historical data to forecast future economic conditions and outcomes.
• Create tools and models that support ongoing scenario analysis and forecasting updates.
• Prepare technical reports, presentations, data visualizations, and executive summaries for both technical and non-technical audiences.
• Collaborate with cross-functional stakeholders to support research initiatives and analytical projects.
• Document methodologies, assumptions, and results to ensure transparency and reproducibility.

Qualifications:

Must-Have Qualifications

• Master’s degree required; Ph.D. strongly preferred in Economics, Econometrics, or a closely related field.
• Minimum 5 years of professional experience in economics, econometrics, applied research, forecasting, or related analytical disciplines (government, academic, or corporate experience accepted).
• Hands-on programming experience with either R or Python for data analysis, modeling, and research applications.
• Demonstrated expertise in economic principles, econometric modeling, statistical analysis, and forecasting methodologies.
• Strong quantitative background with experience applying mathematical and statistical techniques to real-world economic problems.
• Excellent written and verbal communication skills with the ability to present complex findings clearly to diverse audiences.

Preferred Qualifications

• Experience with econometric techniques such as regression analysis, panel data modeling, choice modeling, and forecasting.
• Proficiency with SQL and experience working with large datasets.
• Familiarity with GIS, GitHub, or version control tools.
• Knowledge of economic and labor market datasets, including public economic data sources.
• Experience developing economic forecasts, impact analyses, or policy-related research.
• Exposure to IMPLAN, REMI, or similar economic modeling platforms.

Compensation

About Us

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