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Salary
$41k – $109k per year (Estimated)
Location
Remote (Brazil)
Employment
Full-Time
Overview
Company
Impact
Profile match
Jobgether is a Belgian recruitment platform built entirely around remote and flexible work, aggregating openings from thousands of employers that allow work from outside an office. Its matching engine ranks roles against a candidate's skills, seniority and stated preferences on location and flexibility, rather than leaving people to filter a keyword search, and it verifies how genuinely remote each posting is. The company also runs an AI screening layer that shortlists applicants for employers, and publishes research and guidance on distributed work practices alongside the job marketplace itself.

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.
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