Data Analyst, Field Services

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What Mynd is looking for in applicants

About Mynd:

Mynd is a tech-enabled real estate company serving an $85B+ property management and real estate investment market. In the past few years, financial services disruptors like E-Trade, Schwab, and Robinhood have unlocked access to the stock market, minting a new generation of self-service investors. Yet we at Mynd believe that real estate remains the most powerful tool for building generational wealth. 

We’re on a mission to create happy homes and healthy investments by offering best-in-class property management services and making SFRs as accessible and effortless as other types of investments. Investing in real estate can be intimidating, especially for first-time buyers. Plus, many potential investors don’t want to invest in real estate in their geographic area or have been priced out of competitive big city housing markets. Through localized operations in 25 markets across the US, and real-time insights via our platform, we remove the time, communication, and geographic barriers traditionally associated with real estate. Investors can now find, purchase, rent, manage, and sell single-family rental properties 100% remotely.

Mynd was named the #1 fastest-growing private company in the Bay Area by the San Francisco Business Times in 2020. We’ve attracted talent from Starwood Waypoint Homes, McKinsey, Shift, Better, BCG, One Medical, Zillow, Upwork, and Facebook. We’re backed by top VCs, including Lightspeed, Canaan, and Jackson Square, and just announced a $5 billion deal with Invesco Real Estate that will make us the largest buyer of single-family rental homes in the country. Most importantly, we’re a kind and fun team of innovators who truly enjoy ushering in a new generation of real estate investors.

Additionally, the analysts at Mynd do not just work on building metrics dashboards and reporting needs, but are also challenged to help inform business decisions through predictive analytics. Analysts are empowered to challenge assumptions using data, analytics & modeling to revamp analytics at scale.

About the role:

We are seeking a qualified Field Services Analyst to join our growing analytics team. In this position, you will partner closely with the Product and Field Services business partners towards guiding their decisions using data & analytics . You will also play a key role in central operations functions by strategically analyzing data, cross-training in the department's various roles, performing various roles as the needs of the business change, and collaborating with stakeholders to execute long term projects. This rewarding opportunity will enable you to make a big impact in our organization.


  • Build data foundation and baseline analytics for our newest business Field Services, own the pod relationship with business, engineering and product; be the lead analyst for the Field Services pod and help build a rich data source for field services
  • Create actionable insights that would be utilized for decisions relating to staffing, sourcing needs, scorecards, dashboards, process refinement, etc.
  • The analytics mindset - Use lessons learned during analysis to identify where processes can be refined, or data entry can be restructured. Play a key role in leading and supporting these data initiatives. Collaborate with Data Engineering and BI teams to build data & reporting needs for business dashboards and metrics reporting. 
  • Serve as the subject matter expert (SME) for various reporting software utilized throughout the organization; key contributor to the analytics strategy at Mynd
  • Be the pod analytics partner in establishing and driving best practices as a part of the data team
  • Streamlining and automating processes that are manual which includes building dashboards that inform business of core metrics and influence business decisions through analytics
  • Self driven, data obsessed and data curious to drive analytics vision of the organization


  • 1-3 years of relevant experience in the industry (preferably real estate)
  • 2-4  years of analyst experience
  • Bachelor’s degree in Mathematics, Science or Engineering, STEM or similar fields 
  • Advanced proficiency with Documentation (Confluence JIRA), Git, Visualization (Sisense) & SQL (Snowflake) along with demonstrated experience working with large data sets and/or databases
  • Experience in Python, DataRobot and DBT preferred
  • Strong analytical skills along with the confidence in story telling using data to influence strategy
  • Strong interpersonal skills with the ability to lead conversations with business, product and engineering teams
  • Experience with structured coding practices; attention to detail and deadlines 
  • Experience in home building/construction or an understanding of the construction or renovation process is beneficial
  • While the above qualifications are preferred, they are not required. An individual with advanced problem-solving skills, a strong sense of ownership, and an ability to work autonomously would have a strong foundation in which to become a successful Field Services Analyst

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


Mynd is closely following the 2019 Novel Coronavirus Disease (COVID-19) and implementing processes that promote the safety of our employees, candidates, owners, residents and communities.  The health and safety of our employees and contractors around the world continues to be our top priority as we face the challenges associated with COVID-19.  Leaders across Mynd meet regularly to consider the evolving situation and are doing all we can to keep our teams healthy.

Travel required: 

  • Quarterly to meet with teams to discuss strategy and vision building

At Mynd, we encourage all of our team members to: 

  • Be Myndful
  • Always Be Entrepreneurial 
  • Earn Trust
  • Play Team First
  • Be an ‘A’ Player
  • Think Like An Investor 

As part of our dedication to diversity, Mynd is an Equal Opportunity Employer. Individuals seeking employment at Mynd are considered without regard to race, ethnicity, color, age, sex, religion, national origin, ancestry, pregnancy, sexual orientation, gender identity, gender expression, genetic information, physical or mental disability, registered domestic partner status, caregiver status, marital status, veteran or military status, citizenship status, or any other legally protected category.

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