Top Data Analyst Jobs in Brazil

Supports supply chain finance activities involving intercompany pricing, inventory accounting, costing, profit elimination, currency impacts, financial reporting, reconciliations, forecasts, budgets, audits, and financial close. Analyzes financial data, partners with cross-functional teams, ensures compliance, and drives process improvements, automation, and standardization.

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.

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.

Build client-ready dashboards, conduct large-scale data analysis, design data workflows and analytical queries, and apply statistical techniques including regression, sentiment, fraud, and time-series analysis. The role communicates insights to product teams, supports quality control and complex client workstreams, and provides ongoing customer data support. Responsibilities also include optimizing data processes and contributing to automated pipelines and product feature development.

Supports commercial business partnering across the RWE portfolio by forecasting revenue, managing project lifecycle finances, overseeing invoicing and pass-through costs, reviewing profitability, analyzing performance, maintaining governance, and supporting sales incentive administration. Partners with project leaders and cross-functional stakeholders to improve margins, ensure compliance, and support commercial and operational decision-making.

Analyze observability, digital experience, and business analytics data for enterprise clients. Develop reports, dashboards, and recommendations to improve site performance and user engagement. Manage client relationships, present findings to technical and executive audiences, configure Dynatrace solutions, conduct ad hoc analysis, provide training, and represent client needs to product teams. The role combines data analysis, consulting, account management, strategic communication, and digital transformation support.

Own newsroom analytics supporting editorial, audience, and product decisions. Develop dashboards, automated reporting, measurement frameworks, deep-dive analyses, and A/B tests. Maintain reporting data quality and pipelines in partnership with engineering and product teams. Translate findings for nontechnical stakeholders, strengthen analytical practices, mentor junior analysts, and drive adoption of insights across the organization.

Write SQL queries, build dashboards and recurring reports, support newsroom analyses and A/B testing, troubleshoot data quality issues, and communicate findings to editorial, audience, and product partners. The role also involves maintaining documentation, collaborating with data engineering, and using AI tools to automate analytical workflows.

Transforms organizational data into actionable insights supporting revenue growth, operational efficiency, forecasting, and strategic planning. Responsibilities include building predictive models, developing scalable data tools, creating KPI dashboards and reports, leading end-to-end analytics projects, and presenting recommendations to senior leaders. The role partners with Finance and business stakeholders on planning and performance reviews while communicating complex findings through executive summaries and visual storytelling.

Supports technical account management by analyzing customer data, creating dashboards and reports, monitoring customer health and transaction performance, identifying trends and risks, and providing insights for decision-making. Manages selected customer relationships, helps resolve operational challenges, and collaborates with Product, Operations, Engineering, Sales, and other teams to improve customer outcomes. Contributes to reporting automation, data quality improvements, and customer success initiatives.

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 Compliance analytics for LatAm by building and automating regulatory reports, partnering with Compliance stakeholders, creating advanced SQL-based reporting, developing data pipelines and documentation (dbt/Airflow/GitHub), and driving data-driven monitoring, testing and tooling to improve compliance efficiency and assurance.

Provide data analysis and reporting as a virtual assistant: create and maintain reports, perform data entry and validation, generate visual insights, collaborate with stakeholders, track action items, and improve workflows to optimize reporting efficiency.

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.

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

Drive product decisions for Brazil by owning team KPIs, performing analyses, building data assets, sizing impacts (A/B testing), and partnering with PMs, marketers and engineers to prioritise and measure product improvements and launches.

Lead product-focused risk analytics: design and scale risk data infrastructure, build control frameworks and metrics, partner with product, engineering, risk and compliance to reduce financial crime and ensure regulatory controls are effective.

The Senior Associate Decision Scientist role involves providing analytics support by building reports and dashboards, writing SQL, and maintaining data models while collaborating with stakeholders to derive insights.

Develop predictive and forecasting models, scalable data tools, dashboards, and executive reports to support revenue growth, operational efficiency, and strategic planning. The role partners with Finance, senior leaders, and business teams to translate complex data into actionable recommendations, define measurable outcomes, and lead analytics projects from requirements through presentation.

Analyze campaign and platform data to build dashboards, reports, and deep-dive performance analyses that inform commercial decisions. Ensure data accuracy, liaise with data teams, and support country leads, sales, and Ad Ops. Deliver custom KPIs and actionable recommendations through clear data storytelling to optimize ad revenue and campaign outcomes.

Analyze large lending and real estate datasets; validate credit, valuation, risk, and recovery models; build predictive and forecasting models; conduct backtests, sensitivity analyses, and scenario comparisons; investigate data quality issues; and communicate findings to support underwriting, pricing, portfolio, and risk management decisions.

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

The Lead Data Analyst will document technical systems, collaborate with engineering teams, manage SME availability, and produce clear, structured documentation.

Owner of Growth experimentation and acquisition-to-conversion analytics: design rigorous tests (power, sample size, anytime-valid monitoring), produce readouts, and build a Python/dbt/Lightdash self-serve experimentation layer. Maintain a trusted funnel model (visitor→lead→customer) across channels, reduce reruns via instrumentation checks, and partner with CRO, Growth PMs, and performance marketing to turn analysis into measurable conversion wins.