Analytics Engineer

Loadsmart Logo

Loadsmart

πŸ“Remote - Brazil

Summary

Join Loadsmart, a hyper-growth logistics tech company valued at over $1 billion, as an Analytics Engineer. You will partner with data teams to build analytics and BI solutions, serving as the go-to person for data development. Responsibilities include building data warehousing systems, translating business needs into technical requirements, developing data models and integrations, and collaborating with various teams. This remote position, based anywhere in Brazil, offers competitive base salaries, an equity package, and flexible PTO. The ideal candidate possesses strong data modeling, SQL, and Python skills and a proven track record in data warehousing and ETL.

Requirements

  • You’re fluent in written and spoken English (please also submit your resume in English.)
  • Building OLAP systems and creating and maintaining dimensional models
  • Working with backend data engineering solutions using SQL and/or Python
  • Python for data manipulation (mostly Pandas)
  • Proven experience with data warehouses and associated tooling
  • Hands-on experience with relational databases and performing advanced SQL queries
  • Experience working on data modeling and ETL tools
  • Ability to understand business needs and transform into technical requirements and specifications to support data engineering and analytics engineering development
  • Collaborating with analysts, data scientists, engineers, product managers, and stakeholders to evolve our data platform and products
  • Having a deep understanding of dimensional modeling, data management, data privacy and governance
  • A self-starter, innovative, result-focused and team-oriented
  • Possessing a growth mindset, sense of curiosity and strong problem-solving skills; you are constantly learning about emerging market trends to identify potential opportunities and gaps

Responsibilities

  • Build Data Warehousing systems, reporting and analytics
  • Understand business needs that can be solved by using data
  • Translate business needs into technical requirements and specifications to support Data Engineering and Analytics Engineering development
  • Develop and maintain data models and data sets
  • Develop and maintain data integrations for customers

Benefits

  • Competitive base salaries - we believe in rewarding top talent
  • Extremely competitive Equity package - become a shareholder in our company!
  • Loadie Time Off - flexible PTO

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