Top Data Analyst Jobs in Sao Paulo

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

Analyze large-scale user and product data, design and evaluate A/B tests, define and validate product and business metrics, build dashboards and reports, and partner with engineers, data scientists, product, and customers to translate insights into product improvements.

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

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

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.

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.

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

The Data Analyst, Growth will analyze marketing data to deliver actionable insights, design dashboards, automate reporting, and support cross-functional projects to improve client acquisition and retention.

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.

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.

Develop, optimize, and maintain SQL queries; refactor legacy reporting into a modern data warehouse; collaborate with Product and Development; provide technical support and troubleshooting; pair-program and produce technical documentation.

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.

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.

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.

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.

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

The Senior Data Analyst will design and maintain reporting structures in Tableau, manipulate data using Python and SQL, and present insights to business stakeholders.

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.

The Marketing Data Analyst III supports sales and marketing for Ancillary Products through data analysis, performance reporting, and project management for customer acquisition and retention.

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