Data Scientist / Digital Tech Analyst

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Data Scientist / Digital Tech Analyst based in Brazil. This role offers the opportunity to work at the intersection of data, technology, and business transformation. You will design and deliver analytics solutions that turn complex operational data into reliable, actionable insights. The position combines strong SQL development, data modeling, ETL processes, reporting, and hands-on troubleshooting. You will work directly with customers and multidisciplinary teams across Brazil, the United States, and India. Your work will help improve data quality, operational stability, reporting capabilities, and decision-making. The environment is collaborative, digitally driven, and focused on innovation, continuous improvement, and user experience. You will also have opportunities to work with modern data technologies while supporting solutions for a major industrial environment. This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Data Scientist / Digital Tech Analyst based in Brazil. This role offers the opportunity to work at the intersection of data, technology, and business transformation. You will design and deliver analytics solutions that turn complex operational data into reliable, actionable insights. The position combines strong SQL development, data modeling, ETL processes, reporting, and hands-on troubleshooting. You will work directly with customers and multidisciplinary teams across Brazil, the United States, and India. Your work will help improve data quality, operational stability, reporting capabilities, and decision-making. The environment is collaborative, digitally driven, and focused on innovation, continuous improvement, and user experience. You will also have opportunities to work with modern data technologies while supporting solutions for a major industrial environment. Accountabilities Partner with project leadership to understand customer requirements and translate business needs into clearly defined technical solutions. Develop, test, deploy, and support data analytics deliverables, ensuring they meet functional and technical expectations. Design and optimize relational database structures and develop high-performance SQL queries, views, and stored procedures. Follow established data architecture standards with an emphasis on supportability, consistency, reusability, usability, and error prevention. Apply standardized ETL processes to onboard new datasets while validating data completeness, quality, consistency, and lineage. Work directly with customers to investigate data issues end-to-end across ETL, integration, and reporting processes, identifying root causes and implementing corrective actions. 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. Requirements 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. Benefits 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. How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Why Apply Through Jobgether? Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. 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