Job Summary: Analyst will perform data analysis using machine learning and statistics, develop predictive models, and collaborate with teams to drive data-driven decisions. Key Highlights: 1. Data analysis using machine learning and statistics for valuable insights 2. Development of predictive models and machine learning algorithms 3. Multidisciplinary collaboration for data-driven decision-making **None:** Have you ever thought about joining a company with over 100 years of history? Join us in this journey! The world changes; Zema acts! In line with our core values—work, transparency, simplicity, ethics, people development, and courageous energy—we seek professionals eager to join one of the best companies to work for! **Learn more about our story:** https://portal.zema.com/nossa\-historia/ **Job Responsibilities:** Conduct data analysis and apply machine learning and statistical techniques to extract valuable insights from complex datasets. Develop and implement predictive models and machine learning algorithms to solve business problems. Collaborate with multidisciplinary teams to identify improvement opportunities and support data-driven decision-making. Perform data cleaning, structuring, and exploration, ensuring data quality and integrity. Communicate analysis results and generated insights clearly and concisely to diverse audiences. Stay up-to-date with the latest trends and technologies in data science. **Required Qualifications:** Bachelor’s degree in Information Systems, Computer Engineering, Computer Science, Mathematics, Statistics, or related fields. Proficiency in Python and SQL programming. BI tools (Power BI, SSAS, SSIS). Data modeling and governance (including RLS). Applied statistics knowledge. Problem-solving skills and critical thinking. Excellent communication and teamwork skills. **Preferred Qualifications:** Prior experience in data science projects. Familiarity with data processing and visualization tools and libraries such as Pandas, Matplotlib, Tableau, etc. Experience with agile development methodologies. Machine Learning and Data Mining techniques. Cloud platform experience (Azure, Fabric, AWS, or GCP) is desirable. **Our Benefits:** Health Insurance; Dental Insurance; Meal Voucher; Development initiatives and platform; Wellhub (comprehensive health platform); Birthday Leave; Partnership programs offering exclusive discounts on various services and products. **Diversity & Inclusion:** We are committed to promoting and building Diversity & Inclusion seriously within the company, launching initiatives that foster a more diverse and inclusive culture, cultivating a sense of belonging among employees while simultaneously strengthening the Zema brand in society. **None:** None