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Data Analytics Engineer

Há 1 mês


São Paulo, São Paulo, Brasil Quinto Andar Serviços Imobiliários Tempo inteiro
About Quinto Andar

We are a leading real estate technology company in Latin America, dedicated to simplifying the home search experience through innovative solutions. Our mission is to empower people to find their perfect home by providing a seamless and user-friendly platform.

Overview of the Role

We are seeking an experienced Data Analytics Engineer to join our team. As a key member of our analytics department, you will be responsible for designing and implementing data pipelines, creating data models, and developing data visualizations to support business decision-making.

Responsibilities
  • Design and implement data pipelines to extract, transform, and load data from various sources
  • Create robust data models that meet business requirements and ensure data quality
  • Develop data visualizations and reports to communicate insights to stakeholders
  • Collaborate with cross-functional teams to integrate data analytics into business processes
Requirements
  • Bachelor's degree in Computer Science, Mathematics, or related field
  • Minimum 3 years of experience in data analytics or engineering
  • Strong programming skills in languages such as Python, SQL, and R
  • Experience with data visualization tools such as Tableau, Power BI, or D3.js
  • Excellent communication and collaboration skills
What We Offer
  • A competitive salary of $120,000 per year
  • A bonus structure tied to individual and company performance
  • A comprehensive health insurance plan
  • A generous paid time off policy
  • A opportunities for professional growth and development
Why Work at Quinto Andar?

We offer a dynamic and supportive work environment that fosters innovation and creativity. Our team is passionate about using data analytics to drive business success and make a positive impact on people's lives. If you're looking for a challenging and rewarding role in a rapidly growing company, we encourage you to apply.