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This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for an Analytics Engineer - Digital Media based in Brazil.
In this role, you will sit at the intersection of data engineering, analytics, and business intelligence, building the foundations that power data-driven decision-making across digital media operations. You will design and maintain scalable data models and analytics pipelines within a cloud-based environment, ensuring that data is reliable, structured, and ready for business use. Working closely with cross-functional stakeholders, you will translate reporting needs into robust data architectures that support dashboards, insights, and strategic analysis. Your work will directly impact how data is accessed, interpreted, and leveraged across the organization. This is a highly collaborative and technical role where strong SQL expertise and cloud data warehouse experience are essential. You will contribute to improving data quality, governance, and analytics best practices in a fast-paced, global environment.
Accountabilities:
- Design, build, and maintain scalable data models in Amazon Redshift to support reporting, dashboards, and analytical use cases
- Collaborate with data engineering teams to enhance and optimize cloud-based analytics warehouse architecture
- Define and enforce standards for schema design, naming conventions, and data lineage documentation
- Develop and maintain reliable data pipelines that ensure clean, structured, and accessible data for business users
- Partner with stakeholders to gather requirements and translate business needs into scalable data solutions
- Create and maintain comprehensive data documentation, including metric definitions and transformation logic
- Support BI platforms by delivering analytics-ready datasets and contributing to dashboard development
- Implement and monitor data quality processes, including testing, validation, and alerting mechanisms
- Identify and drive improvements in data accessibility, consistency, and usability across the organization
- Promote analytics engineering best practices, including version control, code reviews, and reproducible workflows
Requirements:
- 2–4+ years of experience in Analytics Engineering, Data Engineering, Business Intelligence, Data Analytics, or Data Science
- Strong SQL expertise with the ability to design efficient and scalable queries and data models
- Hands-on experience with cloud data warehouses, ideally AWS and Amazon Redshift
- Proven experience working with business stakeholders to translate requirements into data solutions
- Familiarity with dbt or similar SQL transformation and version-controlled workflows is highly desirable
- Strong understanding of data modeling concepts (dimensional modeling, star schema, snowflake schema, SCDs)
- Experience building and maintaining data documentation, metrics definitions, and data catalogs
- Familiarity with BI tools such as Tableau, AWS QuickSight, Omni, or similar platforms
- Experience using Git and version control for managing SQL and data pipelines
- Strong analytical thinking, problem-solving, and communication skills
- Python experience for data pipelines or automation is a strong plus
Benefits:
- 100% remote work with full flexibility to work from anywhere
- Competitive USD salary aligned with international market standards
- Paid time off to support rest, recovery, and work-life balance
- Flexible work approach focused on outcomes rather than fixed schedules
- Opportunity to work with leading U.S.-based companies on high-impact digital media projects
- Access to a global network of 600+ experienced technology professionals across 25+ countries
- Collaborative, senior-level environment focused on knowledge sharing and technical excellence.
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