
501 - 1000 employees
Founded 1996
🏥 Healthcare
💸 Finance
💳 Fintech
Healthcare • Finance • Fintech
Grupo Fácil is a national reference in technology and solutions for the Healthcare and Financial institutions sectors, with over 29 years of experience. The group is composed of several companies that excel in customer service and technical excellence, focusing on delivering surprising results and being closely connected to market trends. Grupo Fácil prides itself on its solidity and boldness in undertaking projects that set a benchmark in the industry.
🔥 15 hours ago
🗣️🇧🇷🇵🇹 Portuguese Required
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501 - 1000 employees
Founded 1996
🏥 Healthcare
💸 Finance
💳 Fintech
Healthcare • Finance • Fintech
Grupo Fácil is a national reference in technology and solutions for the Healthcare and Financial institutions sectors, with over 29 years of experience. The group is composed of several companies that excel in customer service and technical excellence, focusing on delivering surprising results and being closely connected to market trends. Grupo Fácil prides itself on its solidity and boldness in undertaking projects that set a benchmark in the industry.
• Execute SQL queries to extract, transform, and validate data from various sources. • Assist in building and maintaining data pipelines and ETL processes. • Support the maintenance of databases and Data Warehouse or Data Lake structures. • Support data quality activities to ensure the reliability of analyses. • Support the development and maintenance of management and operational dashboards and reports. • Support the formulation, updating, and validation of key performance indicators (KPIs), monitoring performance and trends. • Conduct basic descriptive analyses and data checks, identifying patterns and anomalies. • Use visualization, ETL, and analytics tools in accordance with team guidelines. • Interact with internal clients to gather requirements, translating business needs into data solutions. • Support the documentation of business rules, data dictionaries, and technical specifications. • Support data, BI, ML, and AI projects. • Operate in compliance with information security policies and Brazil’s General Data Protection Law (LGPD).
• Bachelor’s degree in Data Analytics, Business Administration, Statistics, Engineering, Computer Science, or a related field. • At least 1–2 years of experience in data analytics or Business Intelligence (BI). • Strong knowledge of SQL, including creating complex queries and performing basic optimization. • Proven experience with data visualization tools such as Tableau, Power BI, or similar platforms. • Knowledge of ETL processes or experience building and maintaining data pipelines. • Ability to interpret data, identify patterns, and generate relevant business insights. • Strong attention to detail and commitment to data quality and accuracy. • Excellent interpersonal communication skills and the ability to produce clear, concise documentation. • Willingness and interest in learning new technologies and methodologies. • Experience with Python for data analysis, data manipulation, and automation. • Knowledge of Data Warehouse and Data Lake concepts and structures. • Experience with code version control tools such as Git. • Experience using Apache NiFi, Apache Airflow, and Spark. • Familiarity with basic Machine Learning (ML) and Artificial Intelligence (AI) concepts. • Knowledge of NoSQL databases. • Experience with cloud platforms such as AWS. • Certifications in BI, data analytics, or specific tools. • Experience with Agile methodologies such as Agile/Scrum.
• Alura learning platform • Affirmative opportunity for LGBTQIA+ people • Affirmative opportunity for Black people • Affirmative opportunity for women • Affirmative opportunity for people aged 40 and over • Affirmative opportunity for Indigenous people • Remote work
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