Top Data Analyst Jobs in Brasilia

The role involves creating analytical workflows, maintaining data integrity, and translating business requirements into data solutions with Power BI and other tools.

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.

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

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 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.

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.

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.

The role involves improving data pipelines, migrating legacy systems, and ensuring data accuracy, while utilizing strong SQL and Python skills for ETL/ELT processes.

Design and implement digital analytics tagging and measurement (web & mobile), ensure data quality, translate business questions into hypotheses, perform exploratory analysis, and build reports/dashboards to drive product and marketing decisions while consulting cross-functional teams.

Own Growth analytics end-to-end: build and maintain production data pipelines and dbt models, define north-star metrics and dashboards, design and run A/B experiments using causal inference, embed LLM/GenAI tooling, and translate insights into strategic recommendations for leadership.

The Senior Data Analyst will create and enhance reports, analyze data, provide insights, and design data models using SQL, collaborating with various teams to drive decision-making.

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.

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.

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.