Top Data Analyst Jobs in Brazil

The Investment Data Analyst will manage data governance, create data lineage, track metrics, and collaborate with teams to ensure data integrity and strategy effective for investment needs.

As a Data Analyst, you will analyze transactional data, build dashboards, ensure data integrity, and collaborate on strategic initiatives to enhance products and customer experiences.

The Data Analyst II will analyze data to support business strategies, develop reports, create visualizations, and ensure data quality while collaborating with various teams.

This role involves overseeing data management and reporting for offer management operations, ensuring data accuracy, and driving executive decision-making through insights from analytics.

Lead marketing data management, reporting, and visualizations. Develop Power BI dashboards, oversee data quality, and collaborate with IT teams for strategic alignment.

Lead and support offer management operations, improve data quality and reporting, develop dashboards, and collaborate with cross-functional teams to uphold data integrity standards.

Lead marketing data initiatives, develop Power BI dashboards, ensure data quality, and collaborate with IT and stakeholders to optimize offer management.

As a Principal Data Analyst, you'll innovate data solutions, provide business intelligence insights, and manage data quality in the Retail Bank sector.

The Senior Technical Data Analyst analyzes and enriches platform data, ensuring high data quality and efficiency in data cleansing, developing SQL code, conducting analysis, and implementing ETL processes.

The Data Analyst will support cloud migration by ensuring data integrity, performing analysis, and creating reports while collaborating with technical teams.

The role involves analyzing data to improve product effectiveness, conducting strategic analysis, A/B testing, and communicating insights to stakeholders.

The Data Analyst Sr designs and implements data strategies, manages data quality, builds reporting and analytics solutions, and optimizes processes.

The CSC Data Analyst at Simply Business provides analytical insights to support the Customer Solutions Center's operations, improving performance and decision-making via data reporting and analytics, while leveraging AI and collaboration with stakeholders.

The Data Analyst will manage data collection and reporting, develop visualizations, integrate data sources, and support decision-making processes.

As a Product Data Analyst, you will analyze user engagement across platforms, support product strategies, and maintain data integrity for dashboards and events tracking.

As a Staff Data Analyst, you will influence Upstart's capital strategy by collaborating with teams across the organization, developing financial models, and mentoring junior members.

The Data Analyst will engage with customers to define business objectives, analyze data, create reports, communicate findings, and improve processes. The role requires collaboration across teams and a focus on quality and efficiency in data analytics.

As a Summer Intern, support the Advanced Markets function with market analysis, data validation, and automation opportunities using visualization tools.

The Business Intelligence Data Analyst will analyze data, build reports, and support Customer Success initiatives using SQL and BI tools.

Lead the finance analytics function by developing data models, performing financial analysis, and ensuring data quality to support decision-making.

The Data Analyst will provide insights to drive business decisions, collaborate with stakeholders, develop KPIs, and support data-driven strategies.

The Data Analyst will derive actionable insights across teams, manage KPIs and dashboards, and improve data reporting processes.

The Operations Data Analyst role involves analyzing data to support manufacturing processes, requiring proficiency in SQL, Power BI, and statistical techniques.

The Senior Fraud Data Analyst develops data-driven fraud decisioning strategies, analyzes large datasets, and collaborates with stakeholders to enhance fraud prevention and optimize detection accuracy.

Lead data quality initiatives and governance efforts using various tools, collaborate with teams to resolve technology issues, and maintain data catalog and lineage.