ANALISTA DE DADOS / DATA ANALYST

Analista De Dados / Data Analyst - - Programming Languages: Strong programming skills in languages such as Python, R, or Java are necessary for data manipulation, scripting, and automation tasks. - Data Integration: Experience with scripting and tools for data integration, such as ETL (Extract, Transform, Load) processes, to connect with various data sources like databases, APIs, files, etc. - Data Modeling: Solid understanding of data modeling concepts and techniques for designing efficient and scalable databases and data warehouses. - Data Visualization: Proficiency in data visualization tools such as Looker Studio, Power BI, Tableau, etc. , to create interactive dashboards and reports. - Statistical Analysis: Knowledge of statistical methods and techniques for analyzing data and identifying patterns, trends, and insights. - Data Cleaning and Preprocessing: Experience in data cleaning, preprocessing, and transformation to ensure data quality and consistency. - Database Management Systems (DBMS): Familiarity with relational database management systems (e. G. , MySQL, PostgreSQL, SQL Server) for data storage and retrieval. - API Integration: Ability to work with APIs (Application Programming Interfaces) to extract data from web services and other external sources. - Scripting Languages: Proficiency in scripting languages such as Bash scripting for automation tasks, especially in the context of data extraction and processing. - Version Control Systems: Familiarity with version control systems like Git for managing and tracking changes to scripts and code. - Data Warehousing: Understanding of data warehousing concepts and architectures for storing and organizing large volumes of data. - Advanced/Fluent English**Soft skills**:- Analytical Thinking: The ability to analyze complex datasets, identify patterns, and draw meaningful insights to support data-driven decision-making. - Problem-Solving: Strong problem-solving skills to address data-related challenges, troubleshoot issues, and propose effective solutions. - Attention to Detail: Being detail-oriented is crucial for ensuring data accuracy, detecting anomalies, and maintaining data integrity throughout the analysis process. - Communication Skills: Effective communication skills, both verbal and written, to convey technical concepts and insights to non-technical stakeholders in a clear and understandable manner. - Collaboration: The capacity to work collaboratively with cross-functional teams, including business stakeholders, data engineers, and IT professionals, to understand business requirements and deliver actionable insights. - Time Management: The ability to prioritize tasks, manage deadlines, and handle multiple projects simultaneously in a fast-paced environment. - Adaptability: Being adaptable and flexible to navigate changes, evolving business needs, and new technologies in the dynamic field of data analysis and business intelligence. - Creativity: Thinking creatively to explore new approaches, techniques, and visualizations for data analysis and presentation, enhancing the effectiveness of insights delivery. - Curiosity: A curious mindset to explore data, ask insightful questions, and continuously seek opportunities for improvement and innovation in data analysis processes. - Client Focus: A customer-centric approach to understanding the needs and expectations of stakeholders, delivering solutions that add value and drive business outcomes. - Continuous Learning: A commitment to continuous learning and professional development to stay updated on emerging technologies, tools, and best practices in data analysis and business intelligence. Tipo de vaga: Tempo integral, Efetivo CLTPagamento: a partir de R$3. 000,00 por mês**Benefícios**:- Assistência médica- Assistência odontológica- Vale-refeição- Vale-transporteHorário de trabalho:- De segunda à sexta-feira- Turno de 8 horas- Turno diário