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:

• Leverage AI-assisted tooling to optimize data pipelines and code generation, and develop AI-ready datasets to support machine learning and GenAI initiatives

• 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)

• Experience with AI coding assistants like Cursor and Claude Code

• 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 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

• Demonstrated expertise as a Data Analyst handling large, complex datasets and translating advanced analyses into actionable business insights will be considered a plus.