Associate, Quantitative Researcher en EQ Office

About Us
Perform Properties is a best-in-class, diversified real estate operating platform with expertise in high-quality, grocery anchored shopping centers and premier office assets. Perform is positioned to create more engaging experiences for customers, deliver long-term value for tenants, and drive stronger performance across its portfolio.
Perform has expertise in transactions, development, leasing, and management, and benefits from a multi-sector focus, data driven strategy, and national reach. The company focuses on properties with People-Appeal—dynamic spaces where people and businesses actively choose to work, shop, and gather, enhancing the communities around them.
Formed through the combination of ShopCore, ROIC, and EQ Office, Perform Properties leverages the shared experience, scale, and operational strengths of three leading organizations.
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Role Summary
We’re looking for a Quantitative Researcher to join our Data & Research team. This role is essential to help us uncover insights through statistical modeling, predictive analytics, and data-driven storytelling. You’ll work closely with a collaborative team that values intellectual curiosity, clear communication, and creative problem-solving.
This role exists to support the Data & Research team’s mission: to build statistical models that uncover meaningful insights and drive smarter decisions. If you’re passionate about data, eager to learn, and enjoy turning complex information into clear, actionable stories, we’d love to hear from you.
This role reports to the Head of Data & Research and is based in the office, 5 days a week.
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Essential Job Functions
You’ll be responsible for organizing and cleansing datasets to ensure they are ready for use in econometric models, machine learning applications, and data visualizations. Another key task will be using visualization tools like PowerBI and Sigma to create the compelling, high-impact dashboards that will bring our research to life.
As a member of the Data & Research team, you will help create a quarterly slide deck assessing macro trends, industry hot topics, and portfolio analytics with a focus on the Retail and Office sectors. You’ll also maintain our SharePoint site and automate data updates for our standard quarterly PowerPoint presentations, ensuring our materials are always fresh and accurate.

In addition to hands-on data work, you’ll help manage relationships with external data vendors, study emerging data and share your findings with your team.
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Qualifications and Technical Competencies
• 3-5 years of experience in data research and quantitative analysis
• 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)
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Benefits & Compensation
Benefits: The Company provides a variety of benefits to employees, including health insurance coverage, retirement savings plan, paid holidays and paid time off (PTO).
Base Salary Range: $150,000-$200,000. This represents the presently-anticipated low and high end of the Company’s base salary range for this position. Actual base salary range may vary based on various factors, including but not limited to location and experience.
The additional total direct compensation and benefits described above are subject to the terms and conditions of any governing plans, policies, practices, agreements, or other materials or documents as in effect from time to time, including but not limited to terms and conditions regarding eligibility.

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EEO Statement
Our company is proud to be an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. Our employment decisions are based on individual qualifications, job requirements and business needs without regard to race, color, marital status, sex, sexual orientation, gender identity and/or expression, age, religion, disability, citizenship status, national origin, pregnancy, veteran status and or any other legally protected characteristics. We are committed to providing reasonable accommodations, if you need an accommodation to complete the application process, please email [email protected]
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