GRUPO QUINTOANDAR | DATA ANALYST

About QuintoAndar Group Grupo QuintoAndar is the most valuable real estate tech company in Latin America, it was born in Brazil to do something very rewarding.
open doors.
We opened doors for technology to be part of living.
And, through it, we reduce the bureaucracy and simplify the experience of the whole real estate ecosystem, including those renting, buying, and selling homes, as well as real estate brokers, agencies, and other partners of the real estate market.
Together, our leading brands offer solutions covering all stages of the housing journey, namely.
Immuebles24 (Mexico), Zonaprop (Argentina), Adondevivier & Urbania (Peru), Plusvalia (Ecuador), ImovelWeb and Quintoandar (Brazil) Backed by a world-class team of investors and advisors, such as Kaszek, Qualcomm, General Atlantic, and Softbank, QuintoAndar Group is currently valued at over $5.
billion and continues to grow year-over-year.
To make all this happen, we have more than talented people, working with cutting-edge technology and best design practices to ensure a seamless experience throughout the sales and rental process, combined with smart financial products.
Here you will work with the best professionals in the market, in an environment that breathes innovation, collaboration, and high performance.
To learn more about our history, visit https://grupoquintoandar.
om/.
Life at Lisbon Tech Hub In , QuintoAndar proudly opened its first European tech hub in Lisbon, marking a significant milestone in our global expansion.
aiming to tap into a new tech ecosystem, attract top talents, offer international opportunities for Brazilian employees, and enhance cultural diversity.
Our Lisbon tech hub is home to a team of over 30 experienced engineers, designers, product managers, and data scientists.
As we continue to grow in the coming years, we are excited to expand this talented team even further.
You'll collaborate closely with teams primarily based in Brazil, contributing to our innovative projects on a global scale.
Join us at QuintoAndar Lisbon and help shape the future of real estate technology.
Location At QuintoAndar, we embrace a remote-first philosophy, allowing you to work from anywhere in Portugal.
However, for those who prefer in-person collaboration, we offer a vibrant office in Lisbon's historic center.
Language This job description is written in English because for that position you will need it for communications with coworkers and suppliers who are from worldwide, for tools and internal materials as well.
// A descrição desta vaga está escrita em Inglês porque para esta posição é necessário para a comunicação com colegas e fornecedores, que são de diferentes países, além do uso de ferramentas e materiais internos.
Stages of the Selection Process Our selection process currently lasts an average of 40 days, from application to completion of the assessment.
Going through.
Application Screening Phone interview with Recruiters Remote Interview with Engineering Team Remote Interview with the CTO and/or stakeholders Reference check + Offer Data & AI at QuintoAndar.
Join our Data & AI team and become a key part of our product squads, delivering features that enrich our product and uphold the first-class experience we're known for.
You'll collaborate with talented individuals from various disciplines.
Data Scientists, Machine Learning Engineers, Software Engineers, Product Managers, Designers, and more.
Get ready for the job of a lifetime — expect challenging tasks, high standards, meaningful conversations, and outstanding productivity.
We tackle problems like intelligent search and recommendation systems, enhancing customer experiences with ML (such as our GenAI-powered chatbot and automatic ticket routing), pricing and liquidity models, credit, income, and collection models, and develop a platform that allows us to create and deploy these solutions.
Responsibilities.
Analyze a wide variety of data related to search, ranking and recommendations to bring product insights and shape product solutions for Recommendation & ranking team.
Create dashboards helping to monitor key product metrics related to search, ranking and recommendations Design and analyse experiments.
Identify areas for improvements of data quality.
Participate actively in discussions and decisions regarding the whole Data & AI chapter (Guilds, Design Reviews, Demos, etc.).