Top Data Analyst Jobs in Brasilia

Responsible for designing and maintaining data architecture, managing ETL processes, automating data pipelines, and enabling AI/ML capabilities within the organization.

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

As a Data Analyst, you will analyze large datasets using advanced statistical techniques to drive business insights and support decision-making while mentoring team members.

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

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

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

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 Senior Data Analyst will analyze search performance data, design A/B tests, collaborate on the product roadmap, and utilize tools like dbt and Looker to create dashboards and insights.

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.

The Client Engagement Data Analyst - AI will manage data signals for AI insights, develop data structures, and ensure effective reporting, while empowering teams in AI adoption.

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

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

As a Data Analyst for Risk and Operational Performance, you'll analyze data, design dashboards, and drive insights to enhance decision-making and efficiency across teams.

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.

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.

As a Data Analyst, you will develop production-grade data models, manage business metrics, and ensure data quality and usability across teams.

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 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.

The Senior Data Governance Consultant leads Azure Purview implementations, defines data governance strategies, builds data pipelines, and partners with clients to enhance their data governance frameworks and practices.

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.

The Data Business Analyst facilitates communication between clients and delivery teams, manages data projects, writes user stories, and supports Agile processes. Their role focuses on ensuring requirements are met, backlog is prioritized, and stakeholder agreements are achieved while improving data-quality practices.