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Data Scientist
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

Description: Technical Skills * Data Analysis and Modeling: proficiency in statistical, predictive, and diagnostic analysis techniques to generate relevant insights and support strategic decisions; * Programming Languages: proficiency in Python and SQL for data manipulation, processing, and automation; * Data Visualization and Storytelling: expertise in Power BI (and related tools) to communicate results clearly and strategically; * ETL and Integrations: experience in data extraction, transformation, and loading, ensuring accuracy and consistency in the datasets used; * Process Innovation and Optimization: proposing improvements and leveraging new technologies to increase efficiency and reduce rework; * AI and Predictive Models: application of machine learning and artificial intelligence techniques aimed at generating business value. Behavioral Skills * Analytical Ability: ability to interpret complex data and transform it into actionable information; * Continuous Learning: constant pursuit of technical and methodological updates, with knowledge sharing within the team; * Collaboration and Teamwork: integrated work across different areas, maintaining focus on common goals and high-impact deliverables; * Process and Structural Vision: understanding of business flows and identification of operational and strategic improvement opportunities; * Communication and Influence: clarity in presenting results, data-driven argumentation, and assertive negotiation skills. * Develop, implement, and maintain data analysis and reporting solutions using Python, SQL, Power BI, and other market tools; * Automate business processes and rules, ensuring efficiency, traceability, and scalability of deliverables; * Create and enhance managerial and strategic dashboards and reports, ensuring clarity, accuracy, and alignment with client and internal team needs; * Conduct exploratory, descriptive, and predictive analyses to validate hypotheses, identify trends, and generate business insights; * Collaborate with technology, data engineering, CS, and product teams to translate requirements into practical, results-oriented solutions; * Document and version codes, workflows, and analytical processes, ensuring standardization and transparency in deliverables; * Participate in defining and evolving metrics, KPIs, and analytical models that support sustainable business growth; * Ensure the quality and success of deliverables, maintaining collaborative relationships with colleagues, clients, and partners; * Follow and improve internal procedures and best practices, contributing to the company's reputation and image. 2510290202531836150

Source:  indeed View original post
João Silva
Indeed · HR

Company

Indeed
João Silva
Indeed · HR
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