Economic Data Analyst - HYBRID - Statistics

Job Description

If you're an upbeat, organized, tech savvy, with a degree in Finance who can successfully multi-task AND you have experience in economics, transportation, or statistical analysis., You will be an integral member of a multi-disciplinary multi-project team performing qualitative and quantitative research to examine market and industry behavior, . You'll have the opportunity to grow professionally and learn new skills at this position and with CAFCO Group
.

• Utilize publicly available data sources (e.g., Census, USDOT, BLS, FRED) to collect economic, demographic, and transportation data.
• Organize and present data in Excel for knowledge transfer and clarity.
• Identify trends in economic, demographic, and transportation data to inform analyses such as inflation analysis and remote work trends.
• Contextualize results using comparable analyses or data sources.
• Develop metrics to highlight trends in transportation and economic issues.
• Automate data extraction using programming languages like Python or R.

• Conduct qualitative and quantitative research to examine market and industry behavior.
• Perform literature reviews and communicate findings effectively.
• Monitor and provide commentary on economic releases.
• Review and summarize reports to guide project decisions.
• Create clear, concise written reports, presentations, and correspondence.

• Bachelor’s degree in Economics, Finance, Statistics, or a related field (Master’s degree preferred).
• Minimum of 3 years of experience in economics, transportation, or statistical analysis.
• Proficiency in Microsoft Excel, PowerPoint, Word, Access, and Power BI.
• Experience with analytical tools like R, Python, EViews, or Stata.
• Strong knowledge of statistics or econometrics.
• Demonstrated ability to work on multiple projects independently and efficiently.
• Excellent communication and collaboration skills in individual and team settings.

• Hybrid work model with three days per week in-office at the 4 World Trade Center, NYC.
• One-year anticipated assignment duration.

• Candidate must obtain a SWAC I.D. with associated security clearances upon hiring.
• Ability to adapt and perform a wide range of tasks in a dynamic environment.