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Director of Analytics & Strategy

Location : Washington, D.C
Job Type : Direct
Hours : Full Time
Travel : No
Relocation : No

Job Description :

RETS Associates has been retained to recruit a Director of Analytics and Strategy (DAS) for a commercial real estate focused private equity fund manager based in Washington, DC. Our client was founded in 1999, has invested over $6BN in assets and currently has over $3BN of AUM located throughout the US which consists of numerous asset types. The DAS is a newly created position that will lead a data-driven research platform that will help direct the strategic focus of the firm. Ideally, this person will be able to utilize various data platforms as well as proprietary research to create actionable reports on trends and strategies for multiple stakeholders at the firm. The DAS is a high-profile position which will interact will senior level executives and various business units. If you are a smart, curious and creative professional that can bridge the gap between the layman and the data wonk, this will be an exciting and rewarding opportunity. 



• Maintain a current understanding of the commercial real estate research and data analytics universe • Source, manage, manipulate and analyze traditional and non-traditional data sets to help develop and refine investment strategies for execution
• Identify and implement new products (COTS) and methodologies to research as it pertains to data gathering, analytical solutions, algorithms and models to optimize processes and outcomes

• Development of rich BI, data visualization and other tools to assist in driving top-down quantitative decision making for the investments and operations team
• Create and present reports on emerging data, products, methodology, and technology to investors and stakeholders 

Required Qualifications :


• Bachelor's Degree in a quantitative discipline required (e.g., economics, engineering, mathematics, science, statistics)

• MBA or Master degree in quantitative fields a plus

• Commercial real estate experience a plus
• Prior work or academic experience in data querying and analytical programming (R, Python, SCALA) preferred
• Familiarity with databases and data visualization tools a plus

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