Analytics Engineer

Analytics Engineer This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Analytics Engineer in Brazil. In this role, you will be a key bridge between data engineering and analytics, transforming complex datasets into reliable, well-structured, and actionable insights that drive business decisions. You will design and build scalable data models, enabling high-quality dashboards and self-service analytics across teams. Working in a fast-paced, collaborative environment, you will partner with data analysts, engineers, and product teams to ensure data is consistent, accessible, and business-ready. Your work will directly influence decision-making by improving how data is structured, queried, and visualized. You will also contribute to the evolution of modern data platforms, leveraging cutting-edge tools and methodologies. This is an opportunity to work in a highly technical and impact-driven environment where data quality and storytelling are at the core of the business. Accountabilities You will be responsible for transforming raw data into structured, reliable, and scalable analytical models that empower decision-making across the organization: Build and maintain complex SQL-based data models, including advanced queries using CTEs, joins, unions, and subqueries. Develop and optimize transformation workflows using dbt to ensure scalable and maintainable analytics layers. Design and deliver high-quality dashboards and data visualizations using tools such as Metabase, Looker, or Tableau, turning data into clear business narratives. Work with modern data platforms such as Databricks and Google BigQuery to build reliable analytical pipelines. Support data migration processes and maintain legacy data systems while improving performance and structure. Collaborate with engineering and analytics teams to ensure consistency, quality, and usability of data across the organization. Explore and apply AI-driven tools and generative AI capabilities to improve analytics efficiency and workflow automation. Requirements You should bring strong analytical and technical expertise in data modeling, transformation, and visualization, along with a product-oriented and problem-solving mindset: Strong proficiency in SQL for building complex queries and data transformations. Hands-on experience with dbt for data modeling and analytics engineering workflows. Experience working with Databricks and cloud-based data environments. Solid understanding of Google BigQuery or similar cloud data warehouses. Experience designing and maintaining data pipelines, including migration from legacy systems. Proficiency with at least one data visualization tool (e.g., Metabase, Looker, Tableau). Familiarity with modern data practices and emerging technologies, including generative AI applications in analytics. Strong problem-solving skills and ability to translate business needs into scalable data solutions. Knowledge of Dataform is a plus. Benefits Comprehensive health and dental insurance coverage Digital healthcare support available 24/7 Meal or food allowance Remote work support and initial home office setup assistance Flexible working hours Learning and development platform with courses, books, and training materials Gym membership support (Gympass) Childcare assistance benefits Profit-sharing program (PLR) Life insurance coverage Transportation assistance (for in-office roles, when applicable) Strong culture of autonomy, collaboration, and continuous learning 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. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time. #LI-CL1