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Senior Data Analyst - SP

Indeed
Full-time
Onsite
No experience limit
No degree limit
Praça do Patriarca, 62 - Centro Histórico de São Paulo, São Paulo - SP, 01002-010, Brazil
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Description

Job Summary: A data professional focused on modeling, analysis, and visualization, seeking insights and promoting a data-driven culture. Key Highlights: 1. Advanced SQL, Power BI, and programming experience (Python/R). 2. Collaboration with diverse teams to deliver end-to-end data solutions. 3. Mapping business needs and translating them into analytical requirements. Description: Education: Bachelor's degree in Mathematics, Statistics, Computer Science, Computer Engineering, Information Technology, or related fields. Years of Experience: \+5 years of experience Computer Skills: * Advanced SQL * Advanced Power BI \- DAX, Power Query/M, tabular modeling, publishing/sharing * Programming for analysis/automation (Python pandas/numpy or R) * Hands-on experience with Microsoft Fabric * Data modeling (dimensional/normalization) and descriptive statistics * Git and version control; clear documentation Competencies: * Commitment to excellence; * Communication; * Technical expertise; * Results orientation; * Interpersonal skills; * Problem solving; * Tolerance for pressure and change. . * Map business needs and translate them into analytical requirements (metrics, KPIs, SLAs). * Extract, process, and consolidate data using SQL and scripts (e.g., Python), ensuring performance, automation, and traceability. * Model data and maintain a data dictionary/catalog. * Build and enhance dashboards/reports (e.g., Power BI, Qlik Sense) and ad hoc analyses with clear storytelling. * Monitor data quality and availability (tests/alerts, update SLAs) and resolve data incidents. * Document pipelines, data sources, calculation logic, and modeling decisions. * Promote best practices in governance, security, and LGPD compliance (data minimization, anonymization, access control). * Collaborate with other teams (Engineering/Product/Finance/Operations) to deliver end-to-end data solutions. * Support business areas with data-driven insights. * Support the data-driven culture (quick trainings, usage guides, metric reviews). 2512110202491756662

Source:  indeed View original post
João Silva
Indeed · HR

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