Data Scientist Digital Tech Analyst

This role offers the opportunity to work at the intersection of data, technology, and business transformation. Local São Paulo - SP Remoto

Responsabilidades

Design and deliver analytics solutions that turn complex operational data into reliable, actionable insights. Develop, test, deploy, and support data analytics deliverables. Design and optimize relational database structures and develop high-performance SQL queries, views, and stored procedures. Apply standardized ETL processes to onboard new datasets while validating data completeness, quality, consistency, and lineage.

Develop and maintain dashboards, operational reports, and other data visualizations that support business and operational needs. Create and maintain technical documentation, process guides, runbooks, and standard operating procedures to support stable operations and effective knowledge transfer. Collaborate with distributed teams across Brazil, the United States, and India to ensure consistent processes, knowledge sharing, and reliable delivery.

Requisitos

Strong hands-on SQL skills, including query development and optimization, as well as experience creating stored procedures. Good written and verbal English communication skills, with the ability to collaborate effectively in an international environment. Experience developing data visualizations, dashboards, and operational reports. Solid understanding of relational database concepts and fundamental data modeling principles.

Ability to investigate data-quality and integration issues methodically, identify root causes, and implement practical solutions. Strong analytical thinking, attention to detail, and problem-solving skills. Ability to translate customer and business requirements into technical solutions and communicate effectively with both technical and non-technical stakeholders. Experience working with ETL processes, data integration, and data-quality validation is highly desirable. Experience with Snowflake is a plus.

Intermediate Python skills for data processing and automation are desirable. Knowledge of ERP data and business processes is an advantage. Experience or domain knowledge in manufacturing and/or supply chain environments is a plus. Diferenciais Fully remote work options. Health insurance. Dental plan. Meal vouchers. Life insurance. Daycare assistance. Training and professional development opportunities. Certification incentives. University partnerships. Language school partnerships.

Access to modern digital work environments and cutting-edge technologies. No-dress-code culture. Relaxed and collaborative work atmosphere.

Benefícios

Fully remote work options. Health insurance. Dental plan. Meal vouchers. Life insurance. Daycare assistance. Training and professional development opportunities. Certification incentives. University partnerships. Language school partnerships. Access to modern digital work environments and cutting-edge technologies. No-dress-code culture. Relaxed and collaborative work atmosphere. Sobre A Empresa: This position is listed on behalf of a partner company, who manages all applications and next steps.

Benefícios

Fully remote work options. Health insurance. Dental plan. Meal vouchers. Life insurance. Daycare assistance. Training and professional development opportunities. Certification incentives. University partnerships. Language school partnerships. Access to modern digital work environments and cutting-edge technologies. No-dress-code culture. Relaxed and collaborative work atmosphere.