Top Data Analyst Jobs in Rio de Janeiro

Analyze fraud trends and monitor metrics (fraud losses, false positives). Build dashboards, features, rules, and models to detect and prevent fraud. Perform human-in-the-loop reviews, collaborate with Risk Operations, Payments, Growth, and senior management, and improve operational feedback loops.

Analyze fraud patterns and metrics to reduce fraud losses and false positives. Build dashboards, fraud features, rules, and models. Perform human-in-the-loop reviews, improve operational processes, and provide actionable insights to Risk Operations, Payments, Growth, and senior management.

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.

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

Analyze transactional and operational data to detect and reduce fraud, build and maintain fraud rules/features/models, create dashboards and reports, perform human-in-the-loop reviews, and partner with Risk Operations, Payments, Growth, and leadership to improve processes and mitigations.

As a Senior Business Data Analyst, you will lead client engagements, translate business questions into analytical work, and deliver impactful data products while leveraging AI tools for efficiency.

Collaborate with data engineering, analytics, finance, and accounting to transform, test, document, and deploy clean data. Build and maintain models, KPIs, dashboards, and reporting solutions using dbt, Snowflake, Tableau, and CI/version control. Improve data quality, establish business definitions, mentor analysts, and communicate technical work to non-technical stakeholders while covering Central Time Zone hours.

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.

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 Product Data Analyst at SafeGraph will improve data quality, manage AI-powered initiatives, and enhance product offerings while collaborating with various teams internally.

As a Data Analyst, you will deliver data solutions, optimize data pipelines, and provide actionable insights while collaborating closely with team members and stakeholders.

As a Data Analyst, develop data standards, create dashboards, provide insights, consult with stakeholders, and enhance operational processes within Wellhub's Partner Data & Insights team.

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 Sr Data Analyst at Dynatrace supports clients by driving insights from Digital Experience data, managing complex accounts, and mentoring team members.

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

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

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.

The Marketing Data Analyst will analyze and optimize paid media investments, maintain dashboards, and provide actionable recommendations for marketing channels like SEM and Meta.

The Data Analyst Specialist will optimize CX performance by analyzing data, providing insights, and collaborating with teams to improve operations and achieve goals.

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

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

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.

The role focuses on developing reporting functions and measuring media performance, transforming data using Snowflake, dbt, and analyzing with R or Python.