Data Specialist

Grupo QuintoAndarArgentinaJob.bopublished 10/27/2026
Must-have:PythonDataAI
Machine translation — original language: Spanish.Show original

About the company

About Grupo QuintoAndar We are Grupo QuintoAndar, the largest real estate ecosystem in Latin America. Guided by the purpose of helping people love where they live, we create technology and solutions that simplify the entire housing experience, from renting to buying and selling.

We are present in 6 countries (Brazil, Mexico, Argentina, Peru, Ecuador, and Panama) and have a technology hub in Portugal, bringing together more than 3,100 people united by the challenge of transforming the sector. Backed by global investors such as SoftBank, General Atlantic, and Kaszek, we have raised more than US$ 755 million and today we are a company valued at US$ 5.1 billion.

We lead the market transformation by being pioneers in the large-scale application of Artificial Intelligence in the real estate sector. Our platforms receive more than 50 million visits per month, managing more than 350 thousand active rental contracts and mobilizing R$ 20 billion per year.

If you are looking to solve complex problems with autonomy, cutting-edge technology, and large-scale impact, go ahead, you are at home.

To learn more about our history, visit: https://grupoquintoandar.com/es/

Your tasks

We are looking for a Data Specialist with a technical mindset and business vision, capable of articulating the needs of operational leaders with data architecture, designing robust reports, and laying the foundations for AI-based tools.

  • Reporting Architecture and Operational Control: Design, structure, and implement the metrics model and comprehensive reporting, ensuring end-to-end visibility (conversion funnels, commercial productivity, cohort analysis, and retention).
  • Unification and Consolidation of the Data Stack: Map existing information sources, diagnose data gaps, and structure consistent analytical models that function as a single source of truth for the business.
  • AI and Data Science Adoption: Explore and implement technical solutions based on Machine Learning, predictive analytics, and generative Artificial Intelligence tools / intelligent automations to optimize commercial processes and anticipate deviations.
  • Dashboard Development and Self-Service (BI): Create intuitive, scalable, and maintainable control dashboards on platforms such as Tableau, Looker, or Power BI, training operational leaders for autonomous information consumption.
  • Proactive Opportunity Detection: Formulate business hypotheses, lead complex exploratory analyses, and translate quantitative data into actionable recommendations with high commercial impact.
  • Driving Data-Driven Culture: Act as a technical and pedagogical reference, elevating data literacy and methodological rigor across different functional areas.

Requirements

What we are looking for (Requirements)

  • Professional Experience: Proven experience in Data Analytics, Business Intelligence, or Data Specialist roles, preferably in scale-up environments, tech startups, or strategic/analytical consulting.
  • Advanced SQL Mastery: Solid ability to structure complex queries.
  • Programming and Modeling: Fluent handling of Python.
  • Focus on AI and Data Science: Technical judgment and practical interest in the application of Data Science algorithms, automation with Large Language Models (LLMs), and advanced analytical techniques oriented toward problem-solving.
  • Visualization and BI: Practical experience in developing executive and operational dashboards using tools such as Power BI, Looker, Tableau, or Superset.
  • Business Vision: Academic background in Engineering, Economics, Business Administration, Statistics, Computer Science, or related fields; demonstrated ability to articulate quantitative metrics with business objectives.
  • Languages: Professional - advanced English level.

Desirable (Differentiators)

  • Previous experience in PropTech companies, two-sided marketplaces, e-commerce, or B2B2C/SaaS businesses.
  • Previous experience collaborating closely with commercial operations or Revenue Operations teams.

What we offer

  • Medical plan.
  • Wellhub.
  • Extended parental leave.
  • Daycare reimbursement.
  • Teleworking expenses (monthly amount).
  • Discounts on everyday services.
  • Day off for birthday, Father's Day, and Mother's Day.

How to apply

We design a transparent, direct process focused on evaluating your technical and behavioral potential, giving you the opportunity to meet our teams and career paths:

  1. Application and Profile Review.
  2. Alignment Interview (Recruitment Team).
  3. Technical Evaluation (Practical Case, Challenge, or Code Evaluation).
  4. Cultural Fit and Leadership Interview.
  5. Proposal and Welcome!

Important: We evaluate all applications individually and guarantee a response to everyone. All communication is conducted via email, so make sure to check your inbox and allow emails from the @quintoandar.com.br domain.

Other

Location and Work Model Our Data team works under a hybrid model, combining the flexibility of remote work with in-person exchange at our Buenos Aires office, 2 times per week.

Diversity and Inclusion at Grupo QuintoAndar During registration, you will see some questions about diversity. These are confidential and aim to support our diversity and inclusion actions. In affirmative vacancies, the information may be used to verify alignment with the target audience of the opportunity and, in these cases, could be eliminatory. For non-affirmative vacancies, this information does not affect your application and is used solely to help us continuously improve our inclusion practices and initiatives throughout your journey with us.

Privacy and Data Protection Grupo QuintoAndar acts in accordance with privacy and data protection laws and guarantees the security of your personal data. To learn more, please consult our Privacy Notice for Candidates. If you have questions or wish to exercise your rights as a data subject, please contact us through our Service Channel.