Data Science Analyst

Description

Job Summary: Data Science Analyst to analyze and process data, providing key insights for decision-making in the Risk and Collections area. Key Highlights: 1. Develop advanced analytical models and automation solutions. 2. Identify needs and participate in the continuous improvement of the area. 3. Execute the development and generation of insights for decision-making. Fashion's Park, a leading apparel retail company in Chile, is seeking a Data Science Analyst for the Financial Business Management team. The purpose of this position is to effectively analyze and process data to provide key insights supporting decision-making, aligned with the strategies and requirements of Fashion's Park Credit Card Risk and Collections area. Some of the main responsibilities include: Collecting, cleaning, and analyzing data related to operational activities and area requirements. Executing the development and generation of insights for decision-making. Identifying market needs, standards, and best practices, and participating in the development and continuous improvement of the area. Improving operational efficiency and designing report generation processes. Developing advanced analytical models and automation solutions. Fashion’s Park is a family apparel retail chain with approximately 3,000 employees across Chile and China. With over 35 years of history and 100 stores spanning from Arica to Punta Arenas, we have established ourselves as a close-knit and accessible brand. Our purpose is "Making happy those who choose us", delivering a unique and memorable shopping experience. If you'd like to stay updated on our 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. Power BI expertise. Degree in Industrial Engineering, Business Engineering, Computing Engineering, or Data Science. Benefits Staff cafeteria Supplementary health insurance National Holidays and Christmas bonuses Quarterly bonuses