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.
We are looking for an AI focused Analytics Engineer to integrate our team and contribute to the expansion of AI features over data and analytics. The Analytics Engineer will design AI ready models and implement Analytics Solutions to our data/AI/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 in building 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.
