Top Data Analyst Jobs in Brasilia

Collects, models, processes, and analyzes data from multiple sources to support strategic and operational decisions. Develops dashboards, reports, KPIs, and business intelligence solutions; automates recurring processes; ensures data quality, governance, and validation; and translates business requirements into actionable insights. Collaborates with Engineering, Data, Product, and Business teams while documenting solutions and supporting data users.

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.

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.

Partner with product, commercial, and engineering teams to design KPIs, analyze large datasets using SQL and Python, build Power BI semantic models and dashboards, run experiments and root-cause analyses, leverage AI tools to accelerate analytics, mentor analysts, and translate findings into actionable business recommendations.

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.

The role involves designing business intelligence solutions in Power BI, utilizing SQL and Python for data analysis, and applying best practices in data visualization.