**Company Description:** We are over 90,000 people who work every day toward our firm Purpose—Simplifying and Enjoying Life More. We operate in 9 countries and comprise leading brands across diverse industries: Falabella Retail, Sodimac, Banco Falabella, Tottus, Mallplaza, Falabella.com, and Falabella Inmobiliario. Each of these brands shapes who we are, and together—as One Team—we strive daily to reinvent ourselves and exceed our customers’ expectations. If you are a Falabella employee, explore all available courses on the Falabella Academy platform, designed to support your continued development and prepare you for your next adventure with us! **Job Mission:** Are you passionate about transforming data into strategic decisions? **Job Responsibilities:** At Seguros Falabella Perú, we are seeking a Data Analyst to help uncover valuable insights from large volumes of information. **Mission:** Generate insights and conclusions through analysis of data drawn from diverse information sources. **Key Responsibilities:** * Select, clean, and transform large volumes of data for subsequent exploitation and analysis. * Analyze data using descriptive statistics, profiling, segmentation, and, where appropriate, predictive modeling. * Interpret data, analyze results, and generate insights to formulate conclusions supporting decision-making. * Visualize and diagram data to facilitate user comprehension and support decision-making. * Present findings and collaborate cross-functionally to obtain and interpret data. What We Look for in You Degree in Systems Engineering, Statistics, Data Science, or related fields. Experience working with SQL and data visualization tools such as Looker, Power BI, or similar. Ability to communicate findings clearly and strategically. Proactivity, analytical thinking, and results orientation. Why Seguros Falabella Perú? Because we believe in the power of data to transform our customers’ experience. Here, you’ll have the opportunity to work on challenging projects with real impact, within a collaborative environment. **Requirements:** Professionals with degrees in Statistics, Economics, Industrial Engineering, Systems Engineering, or related disciplines. Experience analyzing large volumes of data. Experience developing reports. Proficiency in SQL and a data visualization tool (Looker). Proficiency in GCP BigQuery, Python, and R. (Mandatory) Advanced Excel proficiency. Desirable experience in the financial, banking, or insurance sectors. Availability to work in a hybrid mode. **Offer Conditions:**