Senior Data Analyst (MIS)

Description

Job Summary: We are seeking a Senior Data Analyst to work autonomously and responsibly on data analysis, transformation, and visualization, delivering scalable analytical solutions. Key Highlights: 1. Autonomous execution of data analysis, transformation, and visualization 2. Development and maintenance of Power BI dashboards and data products 3. Automation of analytical pipelines and routines using SQL and Python We are looking for a Senior Data Analyst who can work autonomously and responsibly on data analysis, transformation, and visualization, delivering consistent, scalable, and business-oriented analytical solutions. This position is ideal for candidates capable of translating business requirements into technical and analytical solutions. **Main Responsibilities** * Independently extract, transform, and consolidate data from multiple sources; * Develop and maintain Power BI dashboards and data products; * Define, implement, and maintain metrics, KPIs, and business rules in collaboration with supported departments; * Apply advanced DAX, Power Query, data modeling, and RLS; * Automate analytical pipelines and routines using SQL and Python; * Ensure adherence to best practices in analytical engineering, documentation, and versioning; * Conduct in-depth performance, behavioral, and trend analyses; * Act as a bridge between business and technology, proposing data-driven solutions; * Identify and lead continuous improvements in processes, reports, and analytical architecture. Requirements: * Bachelor's degree completed in technology, data, or related fields; * Solid experience with advanced SQL (Oracle or similar environments); * Consistent experience with Power BI (advanced DAX, Power Query, and data modeling); * Experience with Python for ETL, automation, and analysis; * Hands-on experience handling large volumes of data and multiple data sources; * Analytical, hands-on, organized, and delivery-oriented profile; * Strong communication skills and business acumen. **Preferred Qualifications** * Applied statistics for data analysis; * Close experience with operational and commercial departments; * Knowledge of data engineering best practices; * Experience in dashboard design and prototyping (e.g., Figma); * Use of AI tools to enhance productivity and efficiency Benefits Health Insurance Mediservice (co-payment) Dental Insurance Odontoseg (optional enrollment) Partnership with dental clinic ️ Meal Voucher or Food Voucher ️ Life Insurance Annual Bonus (based on goal achievement) Transportation Voucher Bicycle Parking ️ 10% discount on Pernambucanas products Partnerships with SESC and educational institutions for undergraduate and graduate courses