Revenue Operations Analyst

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.

Responsibilities:

HouseCanary is looking for an experienced Revenue Operations analyst who can combine large amounts of data together and bring forward actionable insights. This role will support not just Sales but also GTM supporting functions Customer Success, Solution Architects, SDR, Marketing, and Commercial Operations.

The individual ideally has 3 - 7 years of prior experience in sales / GTM analytics having done prior work on topics like win-loss analysis, TAM/SAM revenue potential modeling, sales productivity, sales time spent studies, pricing analysis, segmentation, marketing lead conversion, sales activity tracking, pipeline coverage, forecasting analysis, churn analysis, renewals studies, average deal cycle time, & new prospect targeting. Experience compiling quarterly dashboards and insights for CRO/SVP level reviews is also valued. 

Prior experience within the Real Estate industry or Data / Analytics is desired but not required. Experience across Field Sales, Inside Sales, and Channel Sales analysis is preferred but not required. Deep experience using excel is required and an ideal candidate will also have experience with Tableau, SQL, & Salesforce/CRM. Experience using 3rd party firmographic and technographic tools such as D&B, Factset, Zoominfo, & HGI is helpful too. We are looking for someone who can roll up their sleeves in a fast paced startup environment. 

You might be a good fit if:

• You have GTM Sense

You collaborate well with others across the organization. You enjoy working collaboratively across the revenue and product engine to validate hypotheses with hard data. You want to contribute to high-level strategic decisions with the rest of the Customer & Revenue Leadership Team. You have done prior analysis on cross sell / upsell opportunities within a portfolio. 

• You have Strong Communication Skills

You possess communication skills with the ability to use data to influence others. You are comfortable assembling powerpoint / google slides presentations. You have worked with tools like ThinkCell or Tableau to assist in visualization of the data. You have created presentations with a clear point of view and messaging with actions and next steps. 

• You Continuously Improve

You are someone who wants to learn and grow. You are open to being coached and developed. You can take feedback and see it as an opportunity to sharpen your toolset. You can look at our quarterly business reviews and forecasting processes to bring best practice ideas. 

We strongly encourage people of color, lesbian, gay, bisexual, transgender, queer and non-binary people, veterans, parents, and individuals with disabilities to apply. HouseCanary is an equal opportunity employer and welcomes everyone to our team. If you need reasonable adjustments at any point in the application or interview process, please let us know. In your application, please feel free to note which pronouns you use (For example - she/her, he/him, they/them, etc).