RentSpree is the nation's leading home rental software. Our award-winning product suite simplifies the entire rental journey—from applications and screening to payments and lease management. Our mission is to bring transparency, efficiency, and trust to agents, landlords, and renters alike.
With over 3 million users, partnerships with 300+ leading real estate companies and MLS platforms, and nine years of consistent growth, RentSpree is at the forefront of proptech innovation. Our award-winning solutions deliver automation and real-time insights that make renting faster, easier, and more secure for our customers.
RentSpree is a proud Forbes' Best Startup Employer and we were also ranked one of BuiltIn Seattle’s Best Places to Work. As one of the fastest-growing property tech startups in the U.S., we’re looking for talented problem-solvers to contribute meaningful impact as we scale.
Duties: Responsible for formulating and applying data analysis and other optimizing methods to develop and interpret information that assists management with decision making. Develops and implements data analysis methodologies, tools, and processes, including determining data analytics strategy and direction to support the company’s business intelligence needs. Collaborates with the executive team to create reports and presentations that effectively communicate insights and recommendations based on data analysis. Manage a team of Data Analysts, ensuring the team provides accurate, reliable, and insightful data to support the company’s strategic objectives.
Requirements: Bachelor’s degree or foreign equivalent in Data Science, Statistics, Computer Science, Business Administration, or related field.
Five (5) years of progressive experience in job offered, data analysis, or related occupation.
Any amount of experience in additional requirements section below will be acceptable unless specific amount is noted. Additional requirements: Prior academic background or work experience to include:
1) Experience with management or supervising role.
2) Experience with data analysis methodologies, statistical analysis, data visualization, and data modeling.
3) Experience with at least one (1) of the following business intelligence tools: Holistics, Tableau, Looker, Power, or BI.
4) Experience writing SQL queries for quick analysis and creating transform tables.
Ability to support evening hours (5:00PM to 8:00PM PT) at least 3 days per week.
As a fast-growing startup, our culture is built on collaboration, curiosity, and the drive to build something meaningful together. From most comprehensive benefits starting on day one to an environment built on trust, respect, and belonging, we make sure our team feels supported every step of the way. Here’s what we offer:
We’re a team of talented, kind, and supportive people who take ownership, move with urgency, and strive for excellence. If you’re ready to roll up your sleeves and take on exciting challenges, we’d love to hear from you, even if you don’t meet every requirement!
RentSpree is an equal opportunity employer that is committed to diversity and inclusion in the workplace. We prohibit discrimination and harassment of any kind based on race, color, sex, religion, sexual orientation, national origin, disability, genetic information, pregnancy, or any other protected characteristic as outlined by federal, state, or local laws.
This policy applies to all employment practices within our organization, including hiring, recruiting, promotion, termination, layoff, recall, leave of absence, compensation, benefits, training, and apprenticeship. RentSpree makes hiring decisions based solely on qualifications, merit, and business needs at the time.
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How to Apply: Apply on this site or send resume to jobs@rentspree.com, ref job code #AD
Data
Seattle, WA
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