Data Science Analyst

Description

Job Summary: Fashion's Park is seeking a Data Science Analyst to analyze and process data, generating key insights to support decision-making in the Risk and Collections department. Key Highlights: 1. Analyze and process data to generate key insights 2. Develop advanced analytical models and automation solutions 3. Participate in the continuous improvement of the Risk and Collections department Fashion´s Park, a leading apparel retail company in Chile, is currently looking for a Data Science Analyst for the Financial Business Management team. The purpose of this role is to effectively analyze and process data to deliver key insights that support decision-making, aligned with the strategies and requirements of Fashion´s Park Credit Card Risk and Collections department. Key responsibilities include: Collecting, cleaning, and analyzing data related to departmental operations and requirements. Executing the development and generation of insights for decision-making. Identifying market needs, standards, and best practices, while participating in the development and continuous improvement of the department. Enhancing operational efficiency and designing report generation processes. Developing advanced analytical models and automation solutions. Fashion’s Park is a retail chain specializing in family apparel, with approximately 3,000 employees distributed across Chile and China. With over 35 years of experience and 100 stores spanning from Arica to Punta Arenas, we have established ourselves as a close-knit and accessible brand. Our purpose is "To make happy those who choose us", delivering a unique and memorable shopping experience. If you’d like to stay updated on our latest news, fashion trends, and promotions, follow us on social media: **Instagram :** @Fashions\_park **Facebook :** @tiendasfashionspark X : @Fashions\_Park\_ * ️ YouTube : @TiendasFashionsPark **LinkedIn :** Fashion’s Park Requirements Proficiency in SQL and Python. Experience with Power BI. Bachelor’s degree in Industrial Engineering, Business Engineering, Computer Engineering, or Data Science. Benefits Staff cafeteria Complementary health insurance National Holidays and Christmas bonuses Quarterly bonuses