Top Data Analyst Jobs in Brazil

The Data Analyst will design interactive dashboards, model data, perform ETL processes, and collaborate with teams to enhance data-driven decisions using Power BI.

Responsible for designing and maintaining data architecture, managing ETL processes, automating data pipelines, and enabling AI/ML capabilities within the organization.

As a Data Analyst II, you will enhance reporting capabilities, develop data tools, collaborate on insights, and maintain data quality at Brex.

The Data Analyst will model data for regulatory reports, manage reporting solutions, and implement AI/ML to enhance regulatory processes.

Develop analytics solutions, collaborate on requirements, manage data quality, and create visualizations while improving reporting and platforms.

The Revenue Operations Data Analyst will analyze datasets, optimize dashboards, and develop data pipelines to support revenue operations and strategic decision-making.

As a Data Analyst, Product at Kraken, you'll transform complex product data into actionable insights, manage data solutions, and support decision-making in a remote environment, focusing on user experience and growth.

Analyze financial statements, lead complex projects, and prepare budgets and forecasts while managing profitability databases and guiding less experienced personnel.

As a Data Analyst, you will analyze complex data sets, build KPIs, generate actionable insights, and collaborate with engineering teams for process improvements.

The Senior Data Analyst will manage subscription billing analytics, optimize queries in ClickHouse, and create dashboards for stakeholders. Responsibilities include data pipeline maintenance and anomaly investigation.

The Data Business Analyst facilitates communication between clients and delivery teams, manages data projects, writes user stories, and supports Agile processes. Their role focuses on ensuring requirements are met, backlog is prioritized, and stakeholder agreements are achieved while improving data-quality practices.

The Senior Data Analyst will analyze data to improve advertising campaign performance, create actionable insights, and automate reporting workflows for revenue growth.

The Compliance Analyst ensures regulatory compliance, supports legal decisions, drafts contracts, identifies compliance risks, and improves compliance processes.

The Data Operations Analyst will manage quarterly data extraction, ensure data quality, provide client support, and improve processes while engaging with clients on their data needs.

The Senior Data Governance Analyst leads implementations of Azure Purview, defines governance strategies, builds ETL/ELT data pipelines, and partners with clients for effective data management.

The Data Analyst will leverage data and computational science to deliver insights, support marketing decisions, and optimize business performance through statistical analysis and data visualization.

Analyze and report on campaign performance across platforms and countries, audit attribution and data quality, create cohorted performance reports, troubleshoot tracking issues, and recommend optimizations and model refinements.

The Mid-Level Financial Transformation Analyst at EBANX will support financial transformation initiatives, utilizing data and AI to optimize processes and enhance decision-making, collaborating across teams to implement and track solutions.

The AML-FT Analyst will oversee AML regulations, analyze data for suspicious activities, manage compliance documentation, and lead optimization strategies using AI tools.

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.

The Senior Data Analyst will create and enhance reports, analyze data, provide insights, and design data models using SQL, collaborating with various teams to drive decision-making.

The Marketing Data Analyst III supports sales and marketing for Ancillary Products through data analysis, performance reporting, and project management for customer acquisition and retention.

The role involves designing business intelligence solutions in Power BI, utilizing SQL and Python for data analysis, and applying best practices in data visualization.