Economic and Statistical Analyst
hace 3 semanas
About CBRE
CBRE is the world's leading real estate consultancy, providing innovative solutions to our clients. We are committed to delivering exceptional results and exceeding client expectations.
Job Summary
We are seeking an experienced Economic and Statistical Analyst to join our Data Science team. As a key member of the team, you will be responsible for developing predictive solutions that address our clients' new business challenges.
Scope of Work
- Develop econometric models for future projection of macroeconomic context and main variables of different markets in the real estate sector.
- Participate in time series / forecasting and consulting projects at national and international level.
- Present findings and recommendations to senior management and clients in a clear and concise manner.
- Develop viable data solutions to improve business decision-making processes.
- Coordinate relevant macroeconomic information and different segments of the real estate sector (residential, offices, retail, logistics and OPRE).
- Prepare reports and presentations of future trends in the real estate sector.
- Participate in Artificial Intelligence & Machine Learning projects.
Candidate's Skills and Qualifications
- Proven experience (3+ years) in Predictive Analysis with special focus on Forecasting area.
- Demonstrable knowledge of modern statistical techniques used in academic field for treatment of time series and forecasting.
- Experience in statistical software (e.g. Stata, Eviews) and programming languages (R, Python).
- Strong interest in solving complex business problems using statistical analysis.
- Analytical and creative thinking abilities.
- High demonstrable ability to write and structure reports.
- Excellent written and verbal communication skills, including communication and liaising with key business stakeholders, third-party vendors, and engineering teams.
- Proficiency in English.
- Capacity for teamwork.
- Experience in Real Estate Sector will be favourably valued.
- Preferred Qualification: Degree in Economics, Statistics or similar. Master's in Quantitative Economics or similar.
- Experience in process automation projects and database architecture.
- Knowledge of data visualization tools (Shiny, Power BI or Tableau).
What We Offer
- Innovative and differential project.
- Drive the growth of our Data Science department by leveraging company decision-making capabilities.
- Work in a dynamic, international and transversal team.
- Development of a professional career in the consulting firm No1 Leader in Real Estate.
Estimated Salary Range
$120,000 - $180,000 per year, depending on experience.
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