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.

What you'll do

• Partner and learn from our existing Data Analysis team to help drive business outcomes and support our clients
• Be the owner of product analytics and provide insightful business reporting to the company
• Apply your expertise in quantitative analysis to unearth data-driven insights and drive decision making
• Synthesize complex analyses into concise summaries with actionable recommendations
• Partner closely with our Product, Sales, and Finance teams to influence planning and prioritization
• Document, maintain, and extend analytics for our core products and platform
• sSupport the team and help manage the end-to-end product analytics process. 
• Create data visualizations and Tableau dashboards to help the team remain focused on our most important KPIs

What you have

• 1 to 3 years in a data analytics or a data science role
• Working knowledge of Python (including pandas and numpy) or R
• Demonstrated proficiency with SQL and/or Amazon Redshift
• Experience presenting data through visualization tools (Tableau, Looker, PowerBI, etc.)General comprehension of data pipelines and warehouses
• A willingness to roll up your sleeves to help achieve team goals
•  Genuine curiosity and an overall passion for data analysis
• Strong oral and written communication skills

Special consideration given for

• Existing familiarity with Redshift and Tableau
• Experience leveraging external analytics platforms such as Heap, Mixpanel, and Google Analytics
• Experience or interest in real estate
• A fantastic sense of humor!