HouseCanary is creating a more efficient real estate marketplace, where its trusted property valuations help consumers and investors enjoy a frictionless experience in buying, financing, and 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 and refined through machine learning. By combining this technology with its nationwide brokerage, HouseCanary is uniquely positioned to connect investors and consumers alike to the information that they care most about in an effort to modernize and streamline the home buying and home ownership process.

We are recognized on Built-in's Best Places to Work, including:

Colorado Best Places to Work

Colorado Best Midsize Companies to Work For

Colorado Best Paying Companies

SF Best Midsize Companies to Work For

Responsibilities

• Provide ad hoc analytical and data support to product, sales, and customer success teams.
• Own the delivery of insights and dashboards. Develop and automate reporting of key performance indicators.
• Work closely with partner teams to identify and evaluate the quality of different data sources used for key result/metric calculations and performance analysis.
• Be a thought partner for all matters related to data and overall strategy.
• Monitor key drivers to ensure the health of our business and clients and provide actionable insights.
• Help us extend data literacy and curiosity throughout the company

Requirements

• 1-2 years experience in analyzing data and communicating insights in a clear, concise way. Ability to tell the story using data in a clear, compelling way to technical and non-technical audiences.
• 1-2 years experience in SQL
• Working knowledge of large data manipulation
• Must be fluent in Microsoft Excel

Nice to Haves

• Experience with analytics solutions such as Tableau, Mode, or Quicksight.
• Experience with A/B testing.