Analytics Engineer

Bay Area; Oakland, California, United States

Roofstock

Roofstock provides investors with data, services and solutions to help acquire, manage and dispose of single family rentals (SFR).

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What we do and why we do it

As the leading end-to-end investment platform for single-family rental homes (SFR), our mission is to make real estate investing radically accessible, cost effective, and simple. We successfully merge our passion for helping investors build wealth through real estate with cutting edge technology that transforms the way they do it.

How it’s going (and growing)

With a talented team of 600+ Roofsters, our collaborative, can-do culture is what fuels our growth. In 2022, we closed on our Series E, raising $240 million, and have offices in California, Texas, and New York as well as many remote opportunities. Our growth includes recent acquisitions of Stessa (financial and asset management software), RentPrep (tenant screening and placement service for landlords), and Mynd (property management platform for both Retail and Institutional investors).

Investing in real estate is one of the most reliable and powerful ways to build generational wealth. From Main Street to Wall Street, investors remain bullish on the long-term returns from residential real estate, especially the single-family home. More Americans are choosing to rent single-family homes for the convenience and low cost of entry. And a new breed of investors is opting to skip the starter home and buy investment properties instead.

But investing in real estate isn’t easy. From renovating, leasing and managing the property, to collecting rent and handling repairs, to ensuring you’re staying compliant with local laws and regulations, managing a residential real estate  investment portfolio can become a full-time job.

That’s where Mynd comes in. We’re a tech-enabled property management company serving more than 18,000 homes across 25+ markets. We help individual and institutional investors renovate, lease, and maintain single-family homes. And we help our residents find safe, spacious, and low-maintenance homes from which to launch their lives. 

We bring together talent and expertise from real estate and tech to build a proprietary platform that is unmatched in our industry. Powerful workflows, AI tools and intuitive consumer apps help our teams deliver great service, make life easy for residents, and give investors powerful portfolio insights at their fingertips.

We’re grateful to have been named one of Fortune's “Best Places to Work” 2023, a Built-In SF Best Places to Work winner, the #1 fastest-growing company in the East Bay by the San Francisco Business Times, one of the 26 hottest proptech startups of 2023 by Business Insider, and one of America’s Best Startup Employers of 2023 per Forbes. We’ve attracted A players from Starwood Waypoint Homes, Opendoor, McKinsey, BCG, Amazon, Facebook, Upwork, WeWork, One Medical, and Zillow.

Join us!

About the role:

Roofstock is seeking an Analytics Engineer to join our Data team. This person will be responsible for building and testing new curated data products, own existing internal data products, expand organizational literacy and detect data anomalies. Our ideal candidate will be a collaborative and inspiring technical engineer with a track record of delivering data and be excited to bridge the gap between our team of engineer data analysts and business users.  Help us build, maintain, scale, transform, test and document our data to ensure Roofstock is strategically positioned to use our data for growth and development.

Responsibilities:  

  • Optimize and aggregate raw data into a consumable format for downstream users 
  • Implement and utilize engineering best practices and methods to provide quality curated data sets
  • Collaborate with Data team to streamline processes and warehouse environment
  • Work cross-functionally across the entire organization to democratize our data strategy, foster data literacy and provide process around data governance
  • Work hands-on with tools in our data stack including: Snowflake, DBT, Git
  • Develop and maintain DBT data models using best practices including documentations, testing
  • Maintain and monitor existing data products 
  • Learn, adapt and utilize new methods of analysis when necessary.

Qualifications:

  • Bachelor's degree in Computer Science, Engineering or related 
  • 3-5 years of experience as a software engineer or data engineering 
  • High level of competency in modeling data
  • Excellent verbal and written communication skills. Able to effectively communicate with executives, operations and engineers.
  • Able to work remotely and communicate with customers and team mates via Google Meets, Slack and Gmail.
  • Must be organized and manage work through a ticketing system like JIRA.
  • Proficiency in SQL is a must. Exposure to DBT is a must. Familiarity with Python is a plus.
  • Must be able to navigate databases and utilize BI tools.
  • Ability to collect problem statements from business and deliver data driven insights using various statistical and analytical methods.
  • Excellent ability to analyze information and think systematically.
  • Works well independently and as part of a team.
  • An understanding of Property Management and Real Estate is a plus.

Location

Bay Area/Oakland, CA 

This position is classified as HYBRID within the Greater Oakland Area with an expectation to be in-office on Tuesdays and Thursdays weekly. 

Travel Required

n/a

Compensation

$130,000 - $150,000 annual base salary. The compensation range may be adjusted based on experience and location.

Pay Transparency

Our compensation reflects several US geographic markets. The base pay for this position represents the expected salary for this position.  Ultimately, in determining your pay it will be based on several factors including location, job-related knowledge, skills, experience and other job related factors.  Roofstock is a total compensation company; the base salary is only a part of our total compensation package.

Competitive & Unique Benefits Package

  • Generous PTO Policy
  • 13 Paid Holidays
  • Volunteer Time Off
  • Paid Parental Leave
  • 401k Program
  • Wellness and home office/cell phone subsidies
  • Robust health, dental, vision insurance, and more

 

Must be authorized to work in the U.S. is a precondition of employment and we are unable to sponsor H1-B Visas at this time.

Any offer of employment is conditioned upon the successful completion of a background investigation.  

Commitment to Equal Employment Opportunity 

The company provides equal opportunity in all of our employment practices to all qualified employees and applicants without regard to race, color, religion, sex, gender, gender expression, gender identity, national origin, ancestry, citizenship, age, physical or mental disability, marital status, sexual orientation, military or veteran status, genetic information or any other category protected by federal, state and local laws. This policy applies to all aspects of the employment relationship, including recruitment, hiring, compensation, promotion, transfer, disciplinary action, layoff, return from layoff, training and social, and recreational programs. All such employment decisions will be made without unlawfully discriminating on any prohibited basis.

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Tags: Computer Science Data governance Data strategy dbt Engineering Git Jira Python Snowflake SQL Statistics Testing

Perks/benefits: Competitive pay Flex vacation Health care Insurance Medical leave Parental leave Startup environment Wellness

Regions: Remote/Anywhere North America
Country: United States

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