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 Investor platform will enable real estate investors to run multiple scenarios, have access to financing and efficiently transact.

HouseCanary recently raised $65M in Series C funding and we are continuing to grow our team in order to support our innovative product suite. 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're seeking a passionate Product Analyst to help support our Investor Product team. By helping us surface actionable, data-driven insights, our Product Analyst will help us drive decision making and will be a core member of our Product team. If you love to wrangle data from multiple sources, unearth hidden insights, and communicate your findings across the entire company, then we would love to talk to you.

What you'll do:

• Become a subject matter expert on all of our data sources and pipelines
• Be the owner of all 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/Customer Success and Finance teams to influence planning and prioritization
• Document, maintain, and extend analytics for our core products and platforms
• Support the team and help manage the end-to-end product analytics process. Jump in when needed!
• Create data visualizations and dashboards to help the team remain focused on our most important KPIs

What you have:

• 3+ years in a data analytics or a data science role
• Strong working knowledge of Python (including pandas, numpy, and scikit-learn) or R
• Demonstrated proficiency with SQL
• Mastery in presenting data in Excel and other visualization tools (Tableau, Looker, Power BI etc.)
• General comprehension of data pipelines and warehouses 
• A basic understanding of real estate and mortgage statistics
• 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 for:

• Familiarity with Salesforce, Elasticsearch, Zuora and other such external systems
• Experience leveraging external analytics platforms such as Heap, Mixpanel, and Google Analytics
• A fantastic sense of humor

Individuals seeking employment at HouseCanary are considered without regard to race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, gender identity, or sexual orientation.