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HouseCanary // data analytics & valuation platform for real estate
San Francisco, CA    Posted: Wednesday, May 05, 2021
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HouseCanary is creating a more efficient real estate marketplace, where its trusted property valuations help consumers & investors enjoy a frictionless experience in buying, financing, & improving their homes. By working directly with institutional investors, HouseCanary already powers more than $200 million in real estate transactions each month. Through partnerships with leading financial institutions, HouseCanary's ComeHome platform will enable consumers to close on more than $100 billion of real estate transactions this year. HouseCanary recently raised $65M in Series C funding as our team continues our hyper-growth. Founded in 2013, HouseCanary has built its reputation on developing unique analytics for the $30.7 trillion residential real estate market, based on big data & refined through machine learning. By combining this technology with its nationwide brokerage, HouseCanary is uniquely positioned to connect investors & consumers alike to the information that they care most about in an effort to modernize & streamline the home buying & home ownership process.

Data-driven decision making is core to our culture & growth. We're seeking a Lead Data Analyst to lead our ComeHome platform understanding with insightful & actionable analytic storytelling.  This role is instrumental to our growth by helping us first grow our world-class data & analytics reporting & translating them into compelling results-driven narratives that improve decision making for our internal teams & external customers. 

The ideal candidate will leverage a strong natural curiosity to thrive in a dynamic & fast-paced environment.  They will have a history of helping product teams improve decision making through compelling narratives with strong strategic conclusions. They will be a subject matter expert who partners with stakeholders to provide analysis & insights on strategic initiatives across customer journeys to improve product adoption, retention, conversion & ultimately better understand our customers.

A successful candidate understands & can work across multiple analytics tools including web analytics platforms like Heap, Tableau, & is comfortable working with big data sets & multiple data sources.

If you love to wrangle data from multiple sources, unearth hidden insights, & tell compelling stories across the entire company, we would love to talk to you.
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