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.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.