Top Data Analyst Jobs in Sao Paulo

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.

Design and maintain Power BI dashboards, build data models and DAX measures, extract/transform data with SQL and Excel, automate reports, perform data quality analysis, and present insights to finance and business stakeholders.

Build and maintain analytics data models, dashboards, and reports. Use SQL (Postgres, Trino, Iceberg) and dbt to power financial metrics. Perform deep-dive analyses using SQL and Python (Jupyter, Pandas) to answer business questions, operationalize data, and improve reporting and automation.

Perform exploratory data analysis, build and maintain Power BI dashboards, ensure data quality through cleansing and validation, collaborate with cross-functional teams to deliver data-driven insights, document methodologies and data assets, and present findings to business stakeholders.

Build and maintain Power BI dashboards and KPIs, perform advanced SQL analyses, monitor data quality, collaborate with product and data engineering, support metric standardization and CI/CD for BI, and deliver ad hoc analyses to inform business decisions.

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.

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.

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.

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

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.

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

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

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

Collect, clean, and integrate data from multiple sources; build complex analytics solutions and dashboards (Power BI); collaborate with stakeholders and IT to define requirements; ensure data quality and compliance; lead UAT, technical specs, and troubleshooting for insurance-focused data initiatives.

Monitor and report on robotic and scanner fleets, answer customer calls and perform first-line troubleshooting, run queries to detect anomalies, escalate issues, and support new deployments with clear English documentation.

The role involves retrieving data using SQL, supporting advanced analytics projects, and communicating findings effectively with stakeholders to drive business strategy.

Build high-impact dashboards, conduct advanced analyses and attribution models, and translate complex datasets into actionable business insights. Own cross-functional KPI frameworks and analyze product-led growth funnels from sign-up through monetization to inform marketing, product, and revenue decisions.

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

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.

Manage the end-to-end data issue lifecycle for North America: intake, triage, root cause analysis, remediation planning and execution oversight. Produce IMR reporting and dashboards, maintain audit-ready records, engage stakeholders, and improve IMR processes and tooling to strengthen data quality and controls.

The Senior Data Analyst will manage subscription billing analytics, optimize queries in ClickHouse, and create dashboards for stakeholders. Responsibilities include data pipeline maintenance and anomaly investigation.

Manage the operational lifecycle of the Flight Plan for e-commerce clients ensuring proper setup, maintenance, and actionable insights from the infrastructure.

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.

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.