Senior Data Science Analyst

Description

Job Summary: We are seeking a Senior Data Science Analyst to develop analytical solutions, build data pipelines and predictive models, and support decision-making. Key Highlights: 1. Work on developing analytical solutions with a focus on data 2. Develop machine learning models and predictive algorithms 3. Support decision-making through data-driven insights **Description:** We are looking for a Senior Data Science Analyst to work on developing analytical solutions with a focus on data. The professional will be responsible for building data pipelines, performing exploratory analyses, developing predictive models, and supporting decision-making through data-driven insights. This position is ideal for someone who already has practical experience with data tools and languages and wishes to take on a more strategic and technical role in advancing the field. MAIN RESPONSIBILITIES Develop automated data pipelines for collection, processing, and analysis from diverse sources; Ensure data quality, integrity, and consistency; Conduct statistical and exploratory analyses to identify patterns and opportunities; Develop and optimize machine learning models and predictive algorithms; Document analyses, processes, and technical workflows of projects; Create and maintain business and technical documentation for the area; Map and model internal processes for data integration and governance; Manage and maintain data tools and related systems; Provide technical support for resolving issues involving data, APIs, and integrations. JOB REQUIREMENTS **Education:** Bachelor’s degree completed in Computer Science, Engineering, Statistics, Mathematics, or related fields. **Desirable Courses / Certifications:** Data Science certification; Advanced SQL course; Training in Power BI or equivalent tool. **Technical Profile:** Proficiency in Python and SQL; Knowledge of PL/SQL and PL/pgSQL; Experience with relational databases (PostgreSQL, Oracle, MariaDB) and non-relational databases; Familiarity with Big Data tools and architectures; Experience with ETL processes and data integration tools; Understanding of fundamental machine learning and deep learning concepts; Knowledge of API testing and analysis (REST, SOAP, etc.); Familiarity with flowchart creation, process mapping, and data documentation. **Personal Profile:** Analytical thinking and logical reasoning; Detail-oriented with a focus on quality; Strong organizational and planning skills; Business acumen and ability to translate data into solutions; Clear communication and collaboration with multidisciplinary teams. Competitive salary aligned with market practices **Employment Type:** Hybrid Hybrid and on-site work: twice per week at Igreja Universal do Reino de Deus, located in São Paulo \- SP All our communication is exclusively conducted via e\-mail or phone. Please keep your contact information up to date and monitor your inbox regularly, including your spam folder. ;) 2511020202231672632