Top Data Analyst Jobs in Brazil

Develops and improves clinical site payment forecasting models, integrating enrollment, operational, and Medidata Payments data. Produces client-ready financial forecasts and reports, analyzes budget utilization and forecast variances, supports revenue recognition, audit compliance, and final payment reconciliations, and collaborates with Clinical Operations, Revenue Recognition, Project Analysis, and Clinical Payments teams across the study lifecycle.

Own the growth experimentation program across web, SMS, sales, and SEO. Design rigorous tests, evaluate power and statistical significance, maintain instrumentation, automate self-serve analytics tooling, and build a trusted acquisition-to-conversion funnel covering CAC, LTV, and conversion rates. Partner with CRO, marketing, and Growth PMs to turn analysis into measurable decisions and conversion improvements. The role requires expert SQL, Python, dbt, Lightdash, experimentation methodology, and strong stakeholder influence.

Build client-ready dashboards, conduct large-scale data analysis, design data workflows and analytical queries, and apply statistical techniques such as regression, sentiment, fraud, and time-series analysis. Communicate insights clearly, maintain data quality, resolve complex client issues, and support subscription customers with data questions and requests. Collaborate with Product Specialists, Product Managers, data engineers, and technical leads in an Agile environment.

Lead compliance analytics for Latin America, partnering with Compliance and cross-functional teams on regulatory reporting, monitoring, testing, and risk insights. Build automated reporting pipelines, data sources, documentation, and tooling using SQL and data engineering technologies. Champion data quality, governance, innovation, and analytics adoption while managing stakeholder priorities and influencing the team's strategic roadmap.

Supports global Compliance operations through data extraction, analysis, dashboards, reporting, monitoring controls, and process automation. Develops solutions using Python, SQL, APIs, and AI technologies; improves data quality, reduces manual work and false positives, and collaborates with engineering and data teams to create scalable compliance workflows.

Performs data quality checks, financial reconciliations, and report validation for a modernized Finance data platform. The role compares migrated reports with legacy outputs, investigates data issues, builds Power BI quality dashboards, defines acceptance criteria with stakeholders, prepares delivery sign-off evidence, and documents quality rules. Requires strong SQL, Snowflake, enterprise BI, reconciliation methodology, financial or accounting data experience, and fluent English.

Lead product data analyst responsible for marketplace modeling, advanced SQL analysis, A/B testing, reporting, dashboard trust, and self-service analytics. The role partners with product managers and stakeholders to guide decisions, builds documented dbt datasets, maintains metrics and reports in Lightdash, and supports a data-driven culture. This is an autonomous individual-contributor position focused on the Pro supply side of the marketplace.

Senior individual contributor responsible for product and marketplace analytics, designing and analyzing A/B and multivariate experiments, building dashboards and automated reports, validating instrumentation, and translating findings into executive-facing recommendations to drive growth and marketplace liquidity.

Develops and maintains forecasting models for clinical site payments, integrating Medidata Payments data and supporting financial reporting. Analyzes plan-versus-actual performance, budget variances, and forecast risks; prepares client-ready reports and reconciliations. Partners with Revenue Recognition, Clinical Operations, Project Analysis, and planning teams to support audits, change orders, study closeouts, compliance, and sponsor reporting requirements.

Own regulatory analytics and reporting by building audit-ready datasets, pipelines, dashboards, compliance metrics, and automated workflows. Analyze complex data, monitor quality, support audits and regulatory exams, and deliver actionable insights to compliance teams and leadership. Translate regulatory requirements into accurate reports using Python, SQL, dbt, and Airflow while partnering cross-functionally to manage data issues and remediation.

Develop and maintain sales and operations analytics reports, dashboards, and visualizations using SQL, Excel, and BI tools. Monitor data quality, analyze operating metrics, identify trends and improvement opportunities, and communicate actionable findings to leadership. Collaborate with business leaders to support sales activities and data-driven decision-making.

Build and maintain BI dashboards, reports, data models, and governed data marts using Looker Studio, Power BI, SQL, BigQuery, Snowflake, and dbt. Analyze data for trends and insights, troubleshoot pipelines, support cloud migration validation, and improve data quality. Collaborate with engineering and business stakeholders while exploring agentic AI and predictive analytics. Manage reporting end to end, including requirements, modeling, validation, governance, and stakeholder presentations.

Analyze and optimize transportation concepts within global supply chain networks. Responsibilities include collecting and validating transportation data, developing analytical models, translating findings into initiatives, coordinating with stakeholders, monitoring results, and identifying continuous improvement opportunities using Excel, Power BI, and related tools.

Performs data quality checks, reconciliation, and report validation for a Finance data platform modernization. Compares curated data and migrated dashboards against trusted Finance benchmarks and legacy outputs, investigates variances with Data Engineering, and builds Power BI quality dashboards. Partners with Finance stakeholders on acceptance criteria, produces delivery-gate evidence, and documents rules and known issues for post-handoff maintenance.

Analyze user behavior, product performance, experiments, and academic research data to guide product decisions and health outcomes. Responsibilities include building Mixpanel dashboards, validating event tracking, querying Snowflake with SQL, developing Python analyses and automation, maintaining data pipelines, creating BI visualizations, conducting user research, performing statistical testing, preparing research manuscripts, and supporting grant-funded projects.

Partner with Finance teams to translate business requirements into data solutions. Develop SQL analyses, dashboards, automations, pipelines, transformations, and validation routines. Support financial close, reconciliations, controls, and regulatory reporting while improving data quality, governance, and traceability. Investigate inconsistencies, document processes, and collaborate with Finance, Engineering, Product, Data, Risk, and Audit teams to deliver solutions end-to-end.

Supports business users with reporting, dashboards, KPI development, data analysis, discrepancy investigation, and analytical problem-solving. Prepares recurring and ad hoc reports, validates data and reporting outputs, documents metrics and resolutions, coordinates fixes with technical teams, and helps improve or automate reporting workflows. The role also translates business questions into analytical requirements and supports stakeholders using self-service data tools.

Monitor transactions and customer accounts for suspicious activity, investigate suspected fraud, analyze large datasets with SQL and Python, identify fraud patterns, and develop prevention rules and controls. The role also requires documenting findings, tracking emerging threats, and using Claude or equivalent large language model tools to improve productivity, research, and communication.

Monitor transactions and customer accounts for suspicious activity, investigate suspected fraud, analyze large datasets with SQL and Python, identify fraud patterns, document findings, and develop prevention rules, strategies, and controls. The role also requires staying current on fraud threats and detection technologies while communicating complex issues clearly.

Lead a multidisciplinary analytics team across product, retention, AI, chat, and operations. Own analytics roadmaps, KPI frameworks, dashboards, funnel and cohort analysis, retention strategy, conversational metrics, and operational performance measurement. Translate ambiguous business questions into actionable insights, product recommendations, experiments, and measurable outcomes. Partner with Product, Operations, Growth, AI, Customer Experience, and leadership while developing analytical talent and improving data-driven decision-making.

Build, analyze, and optimize hospitality reports; troubleshoot data discrepancies; interpret metrics such as ADR, RevPAR, occupancy, and channel performance; and coach customers through reporting questions. Partner with Product, Onboarding, Support, and Customer Success teams to improve data access and usability. Use advanced spreadsheets, data mapping, parsing, and root-cause analysis to support accurate financial, operational, and guest reporting.

Lead a multidisciplinary analytics team supporting product, retention, AI, chat, and operations. Own KPI frameworks, conversion funnels, lifecycle and retention analysis, conversational analytics, dashboards, experimentation, and operational performance measurement. Translate ambiguous business problems into actionable insights, product recommendations, and measurable experiments while partnering with Product, Operations, Growth, Fintech, AI, and leadership stakeholders. Establish the analytical roadmap, develop team talent, and improve data-driven decision-making across the organization.

The Data Analyst will build key data models and metrics for decision-making, partner with stakeholders for analytical insights, create datasets for self-service reporting, and ensure data reliability through quality checks.

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

Develop and maintain SQL-based reporting, ad hoc analyses, and Power BI dashboards supporting order management, pricing, customer services, finance, and digital marketing. Validate data, document reporting logic and business rules, gather stakeholder requirements, identify trends, and translate business needs into actionable insights. The role collaborates with global teams across regions and time zones while applying data governance and reporting best practices.