Top Data Analyst Jobs in Brazil

The Senior Sales Data Analyst will analyze data, generate performance reports, and create insightful dashboards to aid sales leadership and strategic decision-making.

Drive marketing funnel analytics and attribution: define KPIs, build dashboards, run campaign and predictive performance analyses, maintain data integrity across marketing systems and Salesforce, reconcile systems, partner with BI/Finance/GTM teams, and create process and training documentation to inform strategy and forecasting.

Lead analytics engagements for enterprise clients using observability and digital experience data. Manage 4–8 accounts, deliver dashboards and reports, perform ad-hoc analysis, configure Dynatrace solutions, present findings to technical and executive stakeholders, and influence product roadmap and client performance strategies.

Support warehouse operations by analyzing performance data, building dashboards and recurring reports, monitoring KPIs, performing ad-hoc analyses, validating data, automating reporting, forecasting labor needs, and presenting actionable recommendations to operations leadership to improve productivity and service.

Analyze data and deliver actionable insights for Retail Media. Build and maintain Power BI dashboards, perform SQL and Python analyses, leverage AI tools to scale reporting, present findings to stakeholders, and document methods and processes to support data-driven decisions.

Design and maintain end-to-end People Analytics solutions in Power BI; use SQL, Python, and Databricks to prepare and analyze workforce data; create executive dashboards and presentations; translate insights into actionable stories; lead analytics technology projects and collaborate with global HR, IT, Data, and product partners to drive adoption and standardization.

Work with real-world datasets to clean, transform, and analyze data using Python and spreadsheets; perform exploratory analysis, develop data models, support client reporting, and communicate insights to cross-functional teams to drive e-commerce decisions.

Partner with stakeholders to analyze large datasets, build and maintain Power BI dashboards and semantic models, perform exploratory analyses and root cause investigations, define KPIs, apply visualization best practices, and translate findings into clear narratives for technical and business audiences while leveraging SQL, DAX, and AI tools.

Design and maintain dashboards and reports, perform deep-dive analyses to identify trends and anomalies, ensure data integrity with engineers and data scientists, automate reporting, and translate complex datasets into clear insights for non-technical stakeholders.

The Product Analyst will empower Product Managers through data analysis, user insights, and recommendations to inform product decisions, focusing on performance tracking and experimentation.

Manage full-funnel payments performance to improve authorization and conversion rates, reduce fraud and costs, and drive merchant success. Partner with commercial, product, and professional services to deliver data-driven insights, build scalable analytical solutions and dashboards, engage with key customers, deploy optimization playbooks, and support upsell of Adyen products like Protect and Uplift.

Partner with Marketing, Sales, Finance, Product and other teams to turn business questions into actionable analysis. Own end-to-end analytics: build datasets and dashboards (dbt, LookML), maintain metric definitions and caveats, use and curate agent tooling for trustworthy answers, and contribute small data platform and pipeline improvements.

The Product Analyst will provide insights to empower Product Managers, analyze user data and trends, drive business recommendations, and support product initiatives and engagement tracking.

Manage full-funnel payment performance and optimization for merchants, delivering data-driven insights, scalable analytical solutions, and customer-facing support to increase approvals, reduce fraud, and drive product adoption across commercial and product teams.

Partner with product managers to analyze funnels, user conversations, and experiments. Deliver dashboards, bespoke analyses, A/B test support, impact sizing, and clear data-driven recommendations to guide product prioritization.

Design and maintain end-to-end Power BI BI solutions, use SQL to query and prepare data, create interactive dashboards, translate findings into narratives, collaborate with international stakeholders, and deliver ad hoc analyses to solve business problems.

Analyze billing and support performance, build and maintain data pipelines, apply statistical forecasting and A/B testing, collaborate cross-functionally, document analyses, and provide recommendations to reduce financial risk, disputes, churn, and operational inefficiencies.

Lead data analytics work: collect, clean, model, analyze, and visualize large datasets; build dashboards and reports (SnowSight, Power BI); design data models and implement Snowflake/dbt pipelines; ensure data governance and quality; mentor junior analysts and partner with cross-functional teams to deliver insights.

As a Product Analyst, you will empower Product Managers with insights derived from data analysis, user conversations, and behavioral trends to make informed product decisions. You'll support initiative prioritization and experimentation while creating narratives that connect data to business recommendations.

The Product Analyst will support Product Managers by analyzing data and trends, providing insights, making business recommendations, and enhancing user experiences through quantitative and qualitative analysis.

Build and own a forecasting model for clinical site payments outside Medidata Payments, link forecasts with Medidata, produce client-ready deliverables, ensure revenue recognition compliance, support audits, reconciliation at study closeout, and collaborate with FP&A, Clinical Payments, Project Analysts, and other stakeholders.

Design, develop, and maintain Power BI dashboards and data models; write optimized SQL for extraction and transformation; implement data validation and quality checks; analyze large datasets for trends and anomalies; communicate findings and progress to stakeholders and participate in client engagements.

The Experimentation Data Analyst will analyze A/B testing results, create dashboards, and collaborate with teams to improve eCommerce experiences. Responsibilities include gathering data, developing test hypotheses, measuring performance, and communicating actionable insights.

Support operational initiatives and technology projects across Direct Sales: coordinate projects, gather requirements, build solutions, automate workflows, develop reports/dashboards, validate data, troubleshoot issues, and document processes to improve efficiency and scalability.

Support warehouse operations by analyzing performance data, building dashboards and reports, automating recurring reporting, validating data, and providing actionable recommendations to improve productivity, labor utilization, inventory accuracy, and service performance. Partner with operations leadership for staffing, forecasting, and continuous improvement through statistical analysis and ad hoc investigations.