Analytics Engineer (Remote - Brazil)

Loadsmart; United States; À distance; USD 24 000 - 32 000; Plein temps

Avantages offerts par ce poste

Equity package

Paid time off (PTO)

Sick days

Résumé du poste

Loadsmart is seeking an AI-focused Analytics Engineer to design AI-ready models and implement analytics solutions across its data/AI platform. You will interface with Product and Data Science teams to build data products and contribute to expanding AI features from data analytics.

The role is remote in Brazil with an engineering team. Responsibilities include building data warehouses, pipelines, models, and integrations while translating business needs into technical requirements.

Qualifications

• 4 years of experience as an Analytics or Data Engineer.
• Fluent in written and spoken English.
• Experience with AI coding assistants like Cursor and Claude Code.
• Building OLAP systems and dimensional models.
• Working with backend data engineering solutions using SQL and/or Python.
• Python for data manipulation (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 translate business needs into technical requirements and specifications to support data engineering and analytics development.
• Collaborating with analysts, data scientists, engineers, product managers, and stakeholders to evolve data platform and products.
• Understanding dimensional modeling, data management, data privacy and governance.
• Self-starter, innovative, results-focused and team-oriented.
• Growth mindset and curiosity to identify opportunities.
• Data analyst experience handling large datasets is a plus.

Responsabilités

• Leverage AI-assisted tooling to optimize data pipelines and create AI-ready datasets.
• Build Data Warehousing systems, reporting and analytics.
• Understand business needs that can be solved by using data.
• Translate business needs into technical requirements to support Data Engineering and Analytics Engineering development.
• Develop and maintain data models and data sets.
• Develop and maintain data integrations for customers.
• Collaborate with Product, Data Science, and Analytics teams to evolve data platform and products.

Connaissances

OLAP modeling

SQL

Python

Pandas

Data modeling

Data governance

Collaboration

Growth mindset

Self-starter

Analytical thinking

Outils

Cursor

Claude Code

Description du poste

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.

WORKING AT LOADSMART:

Competitive base salaries - we believe in rewarding top talent

Extremely competitive Equity package - become a shareholder in our company!

Loadie Time Off - PTO and sick days without a limit

At Loadsmart, we believe our biggest asset is our people. We are proud to be an equal opportunity employer, hiring and developing individuals from diverse backgrounds and experiences to add to our collaborative culture. Loadsmart treats all candidates and employees with respect and does not discriminate in our recruiting, hiring, and promoting processes, including on the basis of race, color, religion, sex, age, sexual orientation, gender identity and/or expression, national origin, veteran status, or disability.

It is the policy of Loadsmart that all offers of employment made shall be contingent upon successful completion of electronic background check(s). These checks will be job-related, consistent with business necessity and conducted by our vendor, pursuant to all applicable laws, rules, policies and procedures of our candidates’ specific locale.