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Analista de Dados SR

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Analista de Dados SR based in Brazil.

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Jobgether Source published Sep 21, 2026 Verified 16 minutes ago
✓ 100% verification score · Source: jobgether (lever) · Always confirm final requirements on the original source.
Complete source information imported The available role or programme description, requirements, benefits and source facts were imported from the public official endpoint and formatted for reading.
EmploymentFull-time
Work modeRemote / location-flexible

Overview

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Analista de Dados SR based in Brazil.

Full job description

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Analista de Dados SR based in Brazil. As a Senior Data Analyst, you will turn complex datasets into actionable insights that support business decisions and digital transformation initiatives. The role has a strong focus on building Tableau dashboards from scratch, from data modeling through publication. You will work extensively with advanced SQL to investigate data, conduct studies, and generate meaningful business insights. The position also involves creating and maintaining data tables in Databricks and supporting reliable data transformation processes. You will collaborate with business teams and stakeholders, translating analytical findings into clear and useful recommendations. The environment is technology-driven, collaborative, and focused on innovation, continuous learning, and solving complex business challenges. This is a fully remote opportunity for a professional who combines strong technical expertise with analytical thinking and effective communication.

Build Tableau dashboards from scratch, covering data modeling, development, validation, and publication. Develop advanced SQL queries for data extraction, manipulation, investigation, and analysis. Conduct data studies and analytical investigations to identify trends, patterns, opportunities, and actionable insights. Build, maintain, and improve data tables within Databricks. Apply data modeling and transformation practices to support reliable and scalable analytical solutions. Use Google Sheets for analysis, controls, monitoring, and tracking of business indicators. Translate analytical findings into clear insights and recommendations for business stakeholders. Collaborate with business teams and other stakeholders to understand requirements and deliver data-driven solutions. Support the development of business indicators and executive dashboards when required. Contribute to continuous improvements in data processes, analytical methodologies, and reporting solutions. Requirements Proven experience building Tableau dashboards end-to-end, from data modeling through publication. Advanced SQL skills, including querying, data manipulation, transformation, and analytical investigation. Strong proficiency in Google Sheets for analysis, controls, reporting, and monitoring indicators. Experience conducting data studies and analyses with a focus on generating actionable business insights. Experience creating and maintaining tables in Databricks. Knowledge of data modeling and data transformation concepts. Strong analytical thinking and a structured approach to problem-solving. Good communication skills and the ability to interact effectively with business teams and stakeholders. Ability to work independently while collaborating effectively in a technology-oriented environment. Experience with cloud-based data environments is a plus. Previous experience working with business indicators and executive dashboards is desirable. Knowledge of Python for data analysis and automation is considered a plus. Benefits Fully remote work model. Opportunity to work on technology, data, and digital transformation initiatives across different business contexts. Collaborative and innovation-focused professional environment. Exposure to complex data challenges and opportunities to develop advanced analytical skills. Continuous learning and professional development opportunities. Interaction with multidisciplinary teams and business stakeholders. Opportunity to work with modern data and analytics technologies, including Tableau, SQL, Databricks, and cloud environments.

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