Business Intelligence Analyst, Mid Level

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November 26

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Qintess

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Enterprise • Artificial Intelligence • B2B

Qintess is a global technology and digital transformation company with roots in Brazil, serving clients across multiple countries. It provides enterprise IT services including SAP implementation and enablement, cloud and digital infrastructure, application development and modernization, low-code platforms, data analysis and decision science, AI-powered solutions, and customer-centered UX/UI design. Qintess works primarily with business and institutional clients to accelerate IT modernization, optimize operations, and integrate innovation such as AI platforms and digital twins.

1001 - 5000 employees

Founded 2019

🏢 Enterprise

🤖 Artificial Intelligence

🤝 B2B

📋 Description

• Work across the full Business Intelligence lifecycle, from analysis, data collection and cleansing to building dashboards, visualizations and analytical models. • Support the company’s strategic decision-making through advanced analytics, automation and implementation of intelligent solutions. • Act as a facilitator by helping identify technical and business requirements, ensuring alignment between stakeholders and technological solutions in an efficient and cost-effective manner. • Perform data analyses to identify patterns, trends and business opportunities. • Design, model and develop complex dashboards and visualizations. • Collect, clean and transform data from multiple sources. • Develop ETL (extract, transform, load) processes. • Assess data quality and apply continuous improvements. • Build and evolve analytical models and data repositories. • Implement automation and artificial intelligence applications related to data workflows. • Process large-scale datasets (big data). • Collaborate with teams and stakeholders, communicating requirements and results clearly. • Support companies in implementing efficient and scalable technological solutions.

🎯 Requirements

• Bachelor’s degree completed • Minimum of 3 years of experience with: • Data repository modeling • Implementation of ETL processes • Automation projects and AI solutions • Large-scale data processing • Data quality analysis and improvement • Creation and evolution of BI dashboards • Proficiency in: • Python • SQL • BI platforms (Power BI, Tableau, Qlik or equivalents) • Data modeling and analysis techniques • Data manipulation, cleansing and aggregation • Advanced knowledge of mathematics, critical analysis and logical reasoning

🏖️ Benefits

• Notre Dame Intermédica | Hapvida health insurance – employee monthly fee 100% covered and 50% for dependents; co-participation plan available. • Amil dental plan: employee monthly fee 100% covered and 50% for dependents. • Meal or food allowance (per collective bargaining agreement) • Life insurance: 100% paid by the company • Gympass/Wellhub • SESC • Extended maternity and paternity leave • Agreements with higher education institutions and language schools offering discounts • Agreements with pharmacies (Droga Raia and Drogasil) with discounts on medications • Support for professional certifications • Qeep Moving – internal mobility program • "I Recommend" referral program – referral bonuses starting at R$300.00