Grupo QuintoAndar | Analytics Engineering Manager

About QuintoAndar:

QuintoAndar was born to do something very rewarding: open doors. We opened doors for technology to be part of living. And, through it, we simplify and reduce the bureaucracy of the experience of those looking for a new home. Thus, we became the most valuable proptech in Latin America, leading the real estate market in around six countries and more than 75 cities around the globe.

The first steps in the international market have been taken since we acquired Grupo Navent, which is ranked number 1 in Mexico (Inmuebles24), Argentina (Zonaprop), Peru (Adondevivir & Urbania) and Ecuador (Plusvalia) - among others. And most recently, we launched Benvi, our international brand in Mexico, which comes with our residential rental product and service.

We offer an end-to-end ecosystem to make life easier for those looking to rent or buy a home, sell a property and unlock a transaction. Think of zero paper or bureaucracy: everything happens on a single platform, with transparency and speed alongside incredible human support.

We are currently valued at over $5.1 billion (August 2021) and continue to grow 4x year over year, breaking records.

To make all this happen, we have more than 4,000 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://quintoandar.group/en/.

About Grupo QuintoAndar:

We are Grupo QuintoAndar, the largest real estate ecosystem in Latin America. Guided by a shared purpose of helping people love where they live, we have a diverse portfolio of brands and solutions that cover all stages of the journey of living. We develop technologies and innovations that transform and leverage the whole living experience.

About working at QuintoAndar:

• Possibility of learning;
• Opportunity to work in a team that seeks to use the best practices and tools in the market;
• Work in an informal environment with a horizontal structure;
• Being part of a team working on a high-impact project that affects the lives of thousands of people.

Location & Remote Work

Our technology team works on the "remote-first" model, which means we are working from home with the possibility of living anywhere in Brazil. We also have the option of using QuintoAndar's offices in São Paulo and Campinas or using partner coworking spaces, both up to twice a week.

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 30-40 days, from application to completion of the assessment. Going through:

• Application
• Tech Screening
• Case
• Interviews with Data Team
• Interview with Recruiter
• Offer

Every Analytics Engineer at QuintoAndar

Analytics Engineers have a deep understanding of business needs, while applying software engineering best practices to implement data pipelines and create data abstractions that help the company to make better decisions faster.

The Analytics Engineering workflow is to clean, transform, and model raw data into consumable information for strategic decision-making. During the process of obtaining the raw data until the availability of the cleaned and transformed one, the Analytics Engineer tests the data in order to guarantee its quality, documents business rules and creates dimensional models to ensure that they are executed in a scalable and reliable way in a production environment.

The Analytics Engineering role has more engineering skills than your average analyst and is more curious to answer analytical business questions than the average of data engineers. Because of that, the Analytics Engineering team works closely with our business and tech teams to build a better understanding of the usage of data and how our tools positively affect teams at QuintoAndar.

Analytics Engineering Manager responsibilities at QuintoAndar:

On top of being a great Analytics Engineer Manager, we expect you to:

• Be a technical reference for your team;
• Overseeing the development and implementation of data pipelines and analytics solutions, ensuring the quality, reliability, and scalability;
• Be willing to be hands-on, when needed;
• Discuss business and engineering requirements with analysts, engineers and stakeholders on a deep level and anticipate risks;
• Build a great team both recruiting great talent and helping them grow;
• Evaluating the performance of team members, providing regular feedback, and identifying opportunities for their development;
• Setting clear goals and objectives for the team and ensuring they are aligned with the overall business objectives;
• Communicating effectively with stakeholders at various levels of the organization to understand their requirements or explain technical concepts;
• Advocating for the value of data analytics and engineering within the organization and fostering a data-driven culture.

Requirements

What we're looking for:

• Recognizes that people are the most important asset and has proven experience in people management within the data career field;
• Expert in dimensional data modeling (star schema or snowflake), with knowledge of technical concepts and best implementation practices;
• Proficient in SQL and passionate about writing clean, performant, and maintainable code;
• Understands the data lifecycle and concepts such as architecture, lineage, governance, privacy, etc.;
• Fluent in cloud infrastructure, such as AWS and GCP;
• Keeps up with the evolution of technologies and best practices in the data engineering domain and seeks to apply them in the team's routine;
• Fluency in English is mandatory for this position.

Important:

• Our selection process starts with the application! If you are truly interested in joining our team, make sure to put in extra effort at this stage. We review all candidates individually and provide feedback even to those who do not proceed in the process;
• All communication is done via email, so be attentive to our messages and whitelist the @quintoandar.com.br domain to prevent our emails from going to spam.

Benefits

• Competitive salary package;
• Bonus
• Meal allowance ("Flash benefícios");
• Health plan;
• Dental plan (optional);
• Life insurance;
• Daycare subsidy;
• Subsidy to sports practicing (Gympass).
• Extended maternity and paternity leave;
• Reserved room for breast-feeding*;
• Discount on our parking lot;*
• Language learning support;
• Free transfer from Vila Madalena and Fradique Coutinho stations to the office*;
• Free bike rack in our parking lot.*

Diversity & Inclusion at QuintoAndar

At QuintoAndar, we believe diversity of perspectives and experiences guarantee a differentiated work environment, based on respect and valuing differences. Feel free to declare the information on the registration form. If you are not comfortable answering them, just choose the option "I prefer not to respond". This information helps us create an increasingly inclusive environment and it is used only for this purpose, it is confidential, and it will not impact your performance throughout the hiring process

Privacy and Data Protection

In order to apply for one of our jobs roles, we will need to collect some of your personal data necessary for us to review your application and to contact you. We believe that the diversity of perspectives and experiences guarantees a differentiated work environment, based on respect and appreciation of differences. For this reason, we have several affirmative jobs, and information regarding your gender, ethnicity/race, and disability may be collected in the process.

All data processed is confidential and will be stored in a secure place for the time necessary to fulfill its purposes, with appropriate technical and administrative measures being adopted to protect your information.

If you have any questions, please contact us via the following page.

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