Top Data Analyst Jobs in Brazil

As a Data Analyst III, you will execute complex data analyses, detect patterns, and deliver actionable insights to aid strategic decision-making across departments.

Lead performance optimization and credit risk for LATAM enterprise merchants, develop data-driven insights and automation, drive product adoption, mentor team members, and improve risk frameworks and policies to scale business.

Lead cross-functional initiatives to optimize payments and credit risk for LATAM enterprise merchants. Deliver data-driven insights, automation, and self-service analytics to improve authorization, authentication, tokenization, and risk outcomes. Collaborate with Product and Commercial teams to drive product adoption and upsell, mentor team members, and represent credit risk views to merchants, legal, and regulators.

The Data Analyst will support the Growth team by developing dashboards, building data models, and delivering insights to drive business growth.

As a Finance Data Analyst, you'll lead regulatory reporting, design data pipelines, automate processes, and collaborate across teams, enhancing financial data integrity through analytical insights and AI solutions.

The Senior Finance Data Analyst will develop reporting tools, maintain dashboards, analyze data patterns, and improve data quality to support financial decision-making.

As a Fraud Data Analyst, you will monitor transactions, investigate suspicious activities, analyze data using SQL, and develop fraud prevention strategies.

The Senior Internal Audit Data Analyst develops data and reports for Internal Audit projects, conducting complex data analytics and creating visual reports to support effective decision-making. The role requires collaboration with stakeholders and oversight of data management processes.

The Data Analyst will develop dashboards, build data models, and provide actionable insights to support the Growth team and improve business performance across various functions.

The Technical Data Analyst will manage and validate product data for compliance with forest product regulations, focusing on traceability and risk assessment in supply chains.

As a Junior Data Analyst, create and improve reports, ensure data quality, analyze data trends, and collaborate with teams for insights.

The Mid-Level Data Analyst will analyze data, create dashboards, and develop KPIs while communicating insights and recommendations to stakeholders.

The Finance Data Analyst will create a Procurement KPI tracking framework, analyze data for efficiency improvements, and develop datasets and dashboards to support decision-making across teams using SQL and Python.

Lead analytical projects to deliver strategic insights, develop advanced analytical models, and enhance data literacy through collaboration and data visualization.

The Analyst will provide data support across marketplaces, focusing on data accuracy, validation, and operations, using Excel for reporting and analysis.

As a Data Analyst at Match Affinity, you will analyze user data, provide strategic insights for products, and support forecasting and financial modeling.

Partner with Growth, Marketing, and Product to analyze acquisition-to-revenue funnels, run and support experiments, build dashboards, improve data quality, and automate analyses using SQL, product analytics tools, and AI-assisted workflows to drive PLG growth.

The role involves creating analytical workflows, maintaining data integrity, and translating business requirements into data solutions with Power BI and other tools.

As a Data Analyst, you will develop production-grade data models, manage business metrics, and ensure data quality and usability across teams.

Collaborate with Product teams to develop data workflows, perform data analysis, create dashboards, and support customer success efforts while managing large datasets.

Lead product analytics for subscription and web funnels: define KPIs, build/maintain dashboards and SQL data models, own event taxonomy and tracking, run funnel/cohort/retention analyses, mentor analysts, monitor anomalies, and partner with Product, Marketing, and Data teams to drive conversion, retention, and LTV.

Analyze billing performance, build and maintain data pipelines, run A/B tests, apply statistical forecasting and scenario modeling, collaborate with cross-functional teams, and provide recommendations to reduce risk, disputes, churn, and operational inefficiencies.

The Data Analyst will optimize operations forecasting, develop demand models, analyze large datasets, and implement process improvements for supply chain efficiency.

This role involves business analysis and data engineering to bridge between the US/Canada business unit and the Enterprise Data Platform team, focusing on data integration, requirements gathering, and stakeholder management.

Lead high-impact analyses to inform product, growth, and operations. Use SQL, Python/R, and Tableau to build dashboards, define KPIs, and present actionable recommendations to cross-functional teams and leadership.