Top Data Analyst Jobs in Rio de Janeiro

Perform exploratory data analysis, build and maintain dashboards and reports (Power BI), ensure data quality through validation and cleansing, collaborate with data engineers and scientists, and communicate insights to technical and non-technical stakeholders to support business decisions.

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

Partner with product, commercial, and engineering teams to design KPIs, analyze large datasets using SQL and Python, build Power BI semantic models and dashboards, run experiments and root-cause analyses, leverage AI tools to accelerate analytics, mentor analysts, and translate findings into actionable business recommendations.

Lead source-to-target data mapping and validation for a large-scale migration to the Manhattan platform. Bridge business stakeholders and engineering, support testing and defect resolution, monitor data quality, produce migration reports and dashboards, and contribute to governance and QA throughout the migration lifecycle.

Lead stakeholder discovery, map current and future value streams, and define measurable business outcomes for data and AI initiatives. Elicit and document functional/non-functional requirements, data needs, model guardrails, and acceptance criteria. Drive pilots, UAT, change management, and client relationships while coaching teams and using generative AI to accelerate BA deliverables.

Build, maintain, and optimize data pipelines and ETL integrations (BigQuery, Fivetran, dbt). Design automations (n8n/Zapier/Make), ensure data quality and system reliability, document workflows, troubleshoot pipeline issues, and translate business needs into scalable systems to eliminate manual work.

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

Lead analytics for the curriculum subscription/ecommerce business, driving GTM, retention, and financial insights. Build and maintain data models and pipelines with SQL and dbt, produce dashboards in Sigma and Tableau, own weekly business review files, and translate analyses into actionable recommendations for stakeholders.

Support global FP&A with budgeting, variance analysis, and advanced analytics. Build self-service reporting, improve FP&A processes, partner with stakeholders, and help implement and test new finance systems.

Design and maintain Azure-based data pipelines, model and integrate on-prem and cloud data, build Power BI/Tableau dashboards, write complex SQL/Kusto queries, manage cloud costs, and guide teams on data best practices within Agile teams.

Collect, prepare, validate, and report statistical data for property and casualty insurance. Develop and maintain reports and analytic tools, support metadata and data dictionary upkeep, and coordinate with actuaries, product managers, regulatory affairs, finance, and IT to meet reporting requirements.

Build scalable analytical solutions and dashboards using Power BI, Databricks, SQL and Python. Design KPI frameworks, perform statistical analysis and experimentation, ensure data quality and governance, partner with Product/Commercial/Tech teams, and communicate insights to stakeholders.

Manage data migrations and reporting for new hotel clients: extract, clean, map, validate CSV/Excel data, troubleshoot formatting issues, run post-migration audits, and coach clients on building and automating operational and financial reports to track KPIs.

The role involves developing predictive analytics models using Python, creating reports, conducting data evaluation, and communicating insights to support business decisions.