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HomeRoom 25 days ago
ar / mx / remote (ar; mx)fulltime
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Job description

HomeRoom is a dynamic and innovative startup on a mission to revolutionize affordable housing solutions nationwide. As a Y Combinator-backed company, we are at the forefront of reshaping the trillion-dollar single-family housing (SFH) market in the United States. Our commitment to excellence and forward-thinking approach sets us apart as we strive to make a lasting impact on the housing landscape.

Job Summary :

The Senior Data Engineering Manager at HomeRoom will lead the company's efforts in leveraging data to inform strategic decisions, enhance operational efficiencies, and drive business growth. This role involves creating and building the data analytics org, developing comprehensive data strategies, and ensuring the alignment of data-driven insights with business objectives.

Key Responsibilities:

* Property Underwriting: Own the underwriting process for new properties, refining the house selection process to optimize for profitability and suitability.

* Pricing Strategy: Manage and enhance the pricing model for room rentals to maximize the total return for HomeRoom’s investors.
* Data Reporting and Visualization: Implement and maintain a centralized reporting ecosystem using Tableau or PowerBI, ensuring high standards of data accuracy and integrity.
* Executive Support: Provide the leadership team with vital executive dashboards and ad hoc reports, applying statistical techniques to extract actionable insights from complex datasets.
* System Integration: Oversee API integrations between various systems to streamline financial and leasing reports, enhancing operational efficiency.


* Strong analytical skills and ability to interpret complex data to help business owners make clear decisions

* Experience in data analytics and implementing statistical frameworks
* Excellent communication skills, both written and verbal
* Experience with Task automation tools such as JS, Zapier, VBA, etc.
* Experience with implementing a custom dashboarding solution for an early-stage startup.
* Experience with data visualization tools and techniques
* Ability to work independently and remotely
* Knowledge of the real estate industry and trends (beneficial)
* Experience working at an early-stage startup.
* Bachelor's degree in a relevant field, such as Economics, Statistics, or Computer Science.