Top Data Analyst Jobs in Brasilia

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.

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

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, 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.