About the team The Data Science & Analytics team supports the Premier Agent organization, an established line of business that is constantly innovating new ways to operate, monetize, and improve our nationwide real estate marketplace. We partner closely with business leaders to model, analyze, and visualize business relevant metrics that inform both short- and long-term decision-making. Our structure is very flat and you will soon find yourself interacting directly with senior leadership. This role will be responsible for owning a number of high profile reports and dashboards supported by our team and advancing our reporting practice to develop source-of-truth datasets. About the role
Zillow is looking for an outstanding Business Intelligence Data Visualization Engineer to expand a dedicated team of analysts and data scientists on a mission to give homebuyers the power to unlock life's next chapter! This person will craft data visualizations that help us extract key insights from our data, which might otherwise go unnoticed. More specifically, this role needs someone who will:
Wear multiple hats as a data engineer, a data analyst and a visualization designer.
Dive deep into Zillow's internal and third party data to develop solutions that accurately reflect our business processes.
Define requirements with product engineering teams, data engineering, and analytics to pull in the most relevant data for measurement.
Derive actionable metrics in partnership with decision makers through a continuously growing understanding of the business and its goals.
Transform, mine, clean and combine complex data to build simplified data objects that are accessible, understandable and usable. These data sets power critical metrics in your own visualizations as well as empower self service from a client base as broad as read only users and deep diving data scientists.
Build compelling visualizations that facilitate data driven decision making. Experience delivering reporting for real estate or sales teams is a plus.
Operate high availability reporting within SLA through quality alerting, detecting issues before customers and resolving with a sense of urgency.
This role has been categorized as a teleworker position. Teleworkers do not have a permanent corporate office workplace and, instead, work from a physical location of their choice which must be identified to the Company. Employees may live in any part of Mexico, but preferably in Mexico City, as we would encourage attendance for occasional in-office events.
In addition to a competitive base salary and benefits, this position is also eligible for equity awards based on factors such as experience, performance and location.
Who you are
You will not shy away from complexity or uncertainty! You will develop a deep understanding of our mission, business model, and personas. We want you to use that intuition you've developed (both in business and real life) to find opportunities for alignment and/or reduction in complexity across various processes and tools and up-levelling data quality from our extensive data sets. We're searching for an experienced Business Intelligence Data Visualization Engineer who has:
Experience shipping customer facing, production grade reporting on time and accurately every day.
An eye for interface design and a serious disdain for visual clutter; demonstrating intention behind what information is displayed.
Empathy for the consumer built through the iterative acquisition of constructive feedback.
Experience with ETL tools, data modeling techniques and table design
Strong communication and partner management skills, with a consistent ability to gain alignment and influence across product development, data engineering, analytics, finance, sales and operations
Exhibits a high degree of initiative and ownership; capable of navigating ambiguity, driving clarity, and working effectively to ensure projects move forward without significant direction.
An undergraduate or Master's degree (4+ years and a Masters, 2+ years and a PhD) in a quantitative field (e.g. science, engineering, economics, quantitative finance, operations research, statistics, or similar) or proven experience within business analytics (7+ years).
4+ years of work experience with SQL, Tableau and other BI tools
Get to know us
Zillow is reimagining real estate to make it easier to unlock life's next chapter.
As the most-visited real estate website in the United States, Zillow and its affiliates help movers find and win their home through digital solutions, first class partners, and easier buying, selling, financing and renting experiences. Millions of people visit Zillow Group sites every month to start their home search, and now they can rely on Zillow to help make it easier to move. The work we do is helping people move from dreaming to transacting - and no matter what job you're in, you will play a critical role in making this vision a reality.
Our efforts to streamline the real estate transaction are supported by a deep-rooted culture of innovation, our passion to redefine the employee experience, and a fundamental commitment to Equity and Belonging. We're also setting the standard for work experiences of the future, where our employees are supported in doing their best work and living a flexible, well-balanced life. But don't just take our word for it. Read recent reviews on Glassdoor and recent recognition from multiple organizations, including: the 100 Best Companies to Work For in 2022 list, Glassdoor Employees' Choice Award, honoring the Best Places to Work in 2022, Bloomberg Gender-Equality Index 2022, Human Rights Campaign (HRC) Corporate Equity Index and Best Place to Work for LGBTQ Equality 2022, and TIME 100 Most Influential Companies list.
Zillow Group is an equal opportunity employer committed to fostering an inclusive, innovative environment with the best employees. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, and gender identity. If you have a disability or special need that requires accommodation, please contact your recruiter directly.
Q ualified applicants with arrest or conviction records will be considered for employment in accordance with applicable state and local law.
