Senior Data Science Analyst

Description

Job Summary: Fashion's Park seeks a Senior Data Science Analyst to process data, generate insights for decision-making in financial business, and support risk and collections. Key Highlights: 1. Analyze and process data to generate key business insights in financial operations 2. Develop advanced analytical models and automation solutions 3. Identify needs and continuous improvements within the area Fashion's Park, a leading apparel retail company in Chile, is seeking a Senior Data Science Analyst for its Financial Business Management department. The purpose of this role 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 department. Key responsibilities include: Collecting, cleaning, and analyzing data related to operational activities and departmental requirements. Executing development and generation of insights for decision-making. Identifying market needs, standards, and best practices, participating in departmental development and continuous improvement. Enhancing operational efficiency and designing report generation processes. Developing advanced analytical models and automation solutions. Fashion's Park is a retail chain specializing in apparel for the entire Chilean family. With over 35 years of market presence and 82 stores nationwide, we understand our customers' needs and offer an attractive product portfolio combining wide model variety with affordable pricing for all. Currently, our company is driving a growth strategy focused on strengthening all business segments and product lines, thereby achieving comprehensive market coverage aligned with current industry standards. Mission: Deliver a "highly valued" experience for our customers. Vision: Make people happy—fashion is our way of doing it. Requirements Minimum 2 years of experience in financial business and/or data analysis. Retail experience preferred. Proficiency in SQL and Python. Power BI expertise. Degree in Industrial Engineering, Business Administration, Computer Engineering, or Data Science. Benefits Cafeteria National Holidays and Christmas bonuses Quarterly bonuses