Senior Analytics Engineer

About Mynd:

Mynd is a tech-enabled real estate company serving the $85B+ property management and real estate investment market. In the past few years, consumers have gained access to free stock trades, greater transparency in the mortgage market, and apps that make managing their money more convenient. Yet real estate investment, the most powerful tool for building generational wealth, has largely been the purview of wealthier individuals and professional money managers.

Mynd is determined to overhaul that paradigm.

At Mynd, we’re on a mission to democratize access to happy homes and sustainable investments by making the purchase of single-family residential real estate as effortless as other types of investments. Investing in real estate can be intimidating, especially for first-time buyers. Moreover, many potential investors don’t want to buy real estate in their geographic area, or have been priced out of competitive big city housing markets.

With operations in 25 markets across the U.S. and real-time insights via our platform, we remove the time, communication, and geographic barriers traditionally associated with buying real estate. Investors can now find, purchase, lease, manage, and sell single-family rental properties 100 percent remotely.

Mynd is Best Places to Work certified, a Built In SF Best Places to Work 2022 winner, and was named the #1 fastest-growing East Bay company by the San Francisco Business Times in 2021. We’ve attracted talent from Starwood Waypoint Homes, The New York Times, McKinsey, BCG, Compass, Better, One Medical, Zillow, Upwork, WeWork, and Facebook. We’re backed by top VCs, including Lightspeed, Canaan, Jackson Square, and QED, and recently announced a $5 billion deal with Invesco Real Estate that will make us the largest buyer of single-family rental homes in the country.

Join us!

About the role:

We are seeking a qualified Analytics Engineer to join our growing analytics team. In this position, you will partner closely with the Revenue business partners towards bringing robust, efficient, and integrated data models to life. Using a strong understanding of data modeling best practices, you will be able to take action on business and analytics needs and turn them into actionable models powered by varying raw data sources. You will be working very closely with our Data Analysts to help uncover ways to optimize the existing state of models, and further create efficient and robust logic for all levels of business and analysts to use. To be successful in this role you will be required to be able to merge the business and technical sides of our teams to help translate insights and actions into models. 

As a Sr. Analytics Engineer you are also required to be able to dive into complex datasets and use data analytics best practices to help drive actionable insights when required.

Responsibilities:  

• Design, develop, and scope the creation of dbt data models for full purpose reporting and enabling analytics self serve for the Revenue org
• Work together with teams inside and outside Revenue to define clear metrics and meaningful tracking to drive the growth of our business
• Make our Revenue data impactful: you’ll develop powerful dbt models to build smart Sigma dashboards that help our product and business teams succeed.
• Always be raising data quality. That includes auditing sources, documenting issues, driving resolutions together with other teams, and implementing well-documented, performant, and tested transformations.
• Understand gaps and areas of business needs for analysis and tracking and provide upscale, robust models for use across all business properties
• Work closely with Data Analysts to uncover areas of optimization for customer groups
• Collaborate with Data Engineering and BI teams to ensure upkeep and development of models for productionized dashboards
• Serve as the subject matter expert (SME) for various reporting software utilized throughout the organization; key contributor to the analytics strategy at Mynd
• Be involved in discussions with our customer groups to understand business needs to help close the gap on missing features
• Self driven, data obsessed and data curious to drive analytics vision of the organization

Qualifications:

• Minimum 5-6 years industry in analysis using SQL (Advanced SQL skills needed)
• Strong understanding of dbt or any other data modeling experience needed
• Minimum 2-3 years of analytics engineering experience needed
• Good knowledge of Git 
• Bachelor’s degree in Mathematics, Science or Engineering, STEM or similar fields required
• Experience working with BI tools  (Sigma, Qlik, Looker, Tableau, etc)
• Experience working with JIRA or other project management software a plus
• Advanced proficiency with Documentation and intermediate level of proficiency with Python/ R that demonstrates experience working with large data sets and/or databases
• Experience working with platforms and data from such tools as Salesforce, Marketo, Segment, Google Ads, Facebook Ads preferred
• Intermediate level of data analytics experience preferred
• Strong expertise in data mining, data cleaning and working with large, complex datasets
• Experience with structured coding practices; attention to detail and deadlines
• Exceptional verbal and written communication skills. You should be able to explain your approach and the impact of your work to non-technical stakeholders.
• Experience of property management/property investments is beneficial

Being 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.

Covid-19:

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.

At Mynd, we offer a robust, competitive & unique benefits package:

• Unlimited time off
• Paid Parental Leave
• Cash to purchase your own investment property through our “Project Investor Myndset” program
• 401k + Match
• Wellness, home office, and cell phone subsidies
• Volunteer time off
• Robust health, dental, vision insurance, and more
• Sabbatical program

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.