The Strategic Analytics team at Invesco Real Estate is recognized for providing forward-looking views on the markets. Our strategy process is integrated into the investment decision making process and supports all parts of the business. Our deep market knowledge is showcased in our chartbooks, which analyses demographic, economic and real estate market data, to produce market rental growth, yield and total return forecasts.
Your Role
- To work with other members of the business on the characterization and analysis of global economies and the forecasting of real estate markets, and support presentations to internal and external clients.
- Support and collaborate with Invesco Real Estate s strategic analytics Team.
- Assist in developing Invesco Real Estate s forecasting systems, models, and House Views.
- Develop specialist knowledge on various economies, markets, and sectors, in agreement with regional heads.
- Gain knowledge of external data providers to maintain the quality and accuracy of the real estate database, and build a network of local market experts.
- Undertake special projects such as gathering information for new investment possibilities, creating market reports, investigating capital flows, transactions, and market pricing.
- Use statistical analysis methods to identify relationships related to real estate performance, including classification, time series analysis, regression, statistical inference, and validation methods.
- Utilize spatial GIS analysis techniques to support the evaluation of real estate markets and asset management decisions.
The Experience You Bring
- Should have 3 to 5 years of work experience within a real estate environment or any Investment management industry, ideally within real estate fund management, is required.
- Expert knowledge of Python and related frameworks, with data manipulation experience.
- Expertise in data manipulation techniques to handle and process large datasets effectively and Advanced Excel skills for data analysis.
- Proficiency in Spatial GIS analysis and tools.
- Proficiency in web scraping techniques is a valuable asset for this role.
- Ability to prioritize and collaborate on multiple projects and work independently when required.
- Experience in market research is essential.
- A proven numerate background and strong computer skills (especially the Microsoft Office suite), knowledge of applied statistics and econometric modelling techniques would be a benefit. R / Python programming skill with machine learning, Familiarity with GIS systems, spatial analytics would a considerable advantage.
- Experience in Data Manipulation and ETL handling using Power query, Pandas, tidyverse and Alterx.
- Expertise in data manipulation techniques to handle and process large datasets effectively with Advanced Excel skills in using Pivot tables, charting, solver/What-IF Analysis for data and statistical analysis.
- Experience in Data analysis and visualization tools like Power BI/Tableau/R Shiny is an added advantage.
- Ability to review peer s work and provide feedback
- Identifying and implementing automation opportunities.
- Excellent communication skills. Fluency in written and verbal English
Skills / Other Personal Attributes Required:
- Team player
- Good communication skills
- Open minded, flexible, and willing to listen for other people s opinions.
- Interpersonal skills necessary to effectively communicate over the phone with a variety of individuals at all technical levels are required.
Academic requirements
- Educated to degree level, or equivalent qualification, in Real Estate, Geography, Economics, Maths (or a similar numerate subject), Data science or job holder is able to demonstrate equivalent academic caliber
- MBA in Real Estate from a reputed University is preferred.