Ofertas › Grupo QuintoAndar
Grupo QuintoAndar · São Paulo, São Paulo, Brazil
About Grupo QuintoAndar We are Grupo QuintoAndar, the largest housing platform in Latin America . Driven by our shared purpose of helping people love where they live , we build technology and solutions that simplify the entire housing journey, from renting to buying and selling. Operating across 6 countries (Brazil, Mexico, Argentina, Peru, Ecuador, and Panama) and with a technology hub in Portugal , we bring together more than 3,100 people united by the challenge of transforming the real estate industry. Backed by top global investors such as SoftBank, General Atlantic, and Kaszek, we have raised over US$ 755 million and are valued at US$ 5.1 billion . We lead market transformation as pioneers in large-scale Artificial Intelligence applications for the real estate sector. Our platforms welcome over 50 million monthly visits, managing more than 350,000 active rental contracts and processing R$ 20 billion in annual transaction value. If you are looking to solve complex problems with autonomy, cutting-edge technology, and massive scale impact, come on in, the house is yours. To learn more about our story, visit: https://grupoquintoandar.com/ Location & Work Model Our team works in a hybrid model, combining remote work flexibility with in-person some days a month. About the Team & The Challenge The Specialist is the analytics backbone of the New Business collections pod. As each new initiative is stood up, this person builds the data foundation it runs on — tables, pipelines, dashboards, and reporting routines — so that collections performance is measurable from the first day the operation goes live. The core of the role sits in construction: modeling the underlying data layer, translating the pod's indicator framework into reliable metric logic, and building the reporting infrastructure through which each new initiative is monitored. Everything the pod concludes about performance rests on assets this person owns. Alongside that, the Specialist is expected to read the numbers critically — validating that outputs make sense and surfacing anomalies and data-driven observations that inform the team's analysis. This is a hands-on, high-ownership position with direct visibility into how new businesses are built and managed. Your Responsibilities Data foundation Model and build the data layer that supports collections in each new initiative — tables, entities, events, and aggregations — in partnership with BI & Data and Engin