Perform Properties is looking to uncover insights through statistical modeling, predictive analytics, and data-driven storytelling to build statistical models that uncover meaningful insights and drive smarter decisions.
Requirements
- Experience building forecast models for predictive analytics
- Intermediate-to-advanced coding and coding library searches (ex. Python)
- Data visualization (PowerBI, Sigma)
- Expert proficiency in Microsoft applications (Excel, PowerPoint, PowerBI, SharePoint, Teams)
Responsibilities
- Organizing and cleansing datasets to ensure they are ready for use in econometric models, machine learning applications, and data visualizations.
- Using visualization tools like PowerBI and Sigma to create the compelling, high-impact dashboards that will bring our research to life.
- Help create a quarterly slide deck assessing macro trends, industry hot topics, and portfolio analytics with a focus on the Retail and Office sectors.
- Maintain our SharePoint site and automate data updates for our standard quarterly PowerPoint presentations, ensuring our materials are always fresh and accurate.
- Help manage relationships with external data vendors, study emerging data and share your findings with your team.
Other
- 3-5 years of experience in data research and quantitative analysis
- This role reports to the Head of Data & Research and is based in the office, 5 days a week.
- Intellectual curiosity, clear communication, and creative problem-solving.
- Passionate about data, eager to learn, and enjoy turning complex information into clear, actionable stories.
