Senior Analytics Engineer (Remote - Brazil)

ARE YOU INTERESTED IN JOINING AN INNOVATIVE LOGISTICS TECHNOLOGY COMPANY? Loadsmart is a growth-stage technology company valued at over $1 billion (a true Tech Unicorn)! We are a collection of industry veterans and user-centered engineers using innovative technology to fearlessly reinvent the future of freight by helping shippers, brokers, warehouses and carriers to move more with less. With headquarters in Chicago and a globally distributed remote team, Loadsmart continues to attract top talent committed to driving meaningful change. We seek professionals who embody our core values: curiosity, clarity, results, commitment, and teamwork. The Analytics Engineer will play a key role in partnering with different Data teams and Data Engineering to conceptualize, design/model and implement Analytics and Business Intelligence Solutions to our data/metrics platform. You will be the go-to person for any data development for internal analytics as also interfacing Product teams and Data Science teams to assist and advise them to build data products. LOCATION: This position can be remote anywhere in Brazil TEAM: Engineering WHAT YOU GET TO DO: * 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. REQUIRED QUALIFICATIONS: * 4 years of experience as an Analytics or Data Engineer * 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, partnering with Business Analysts and Data Analysts, to 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.