**Company Description:** We are more than 90,000 people who every day work towards our strong Purpose — Simplifying and Enjoying Life More. We are present in 9 countries and composed of leading brands positioned across various industries: Falabella Retail, Sodimac, Banco Falabella, Tottus, Mallplaza, Falabella.com, Falabella Inmobiliario. Each of these makes us who we are, and it is together, as One Team, that we daily seek to reinvent ourselves and exceed our customers' experiences. If you are a Falabella employee, check all available courses at Academia Falabella, which will help you continue driving your development and prepare for your next adventure with us! **Job Mission:** Are you passionate about turning data into strategic decisions? **Job Functions:** At Seguros Falabella Perú, we are looking for a Data Analyst to help us uncover valuable insights from large volumes of information. **Mission:** Generate insights and conclusions through the analysis of data from diverse information sources. **Main Responsibilities:** * Select, clean, and transform large volumes of data for further exploitation and analysis. * Analyze data using descriptive statistics, profiling, segmentation, and eventually predictive models. * Interpret data, analyze results, and generate insights to draw conclusions supporting decision-making. * Visualize and structure data to facilitate user understanding for decision-making. * Present results and collaborate with other areas for data collection and interpretation. What we are looking 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 will have the opportunity to work on challenging projects with real impact, within a collaborative environment. **Requirements:** Professionals from Statistics, Economics, Industrial, Systems, or related disciplines Experience in analyzing large volumes of data. Experience in report generation. Proficiency in SQL and data visualization tools (Looker) Proficiency in GCP BigQuery, Python, R. (Mandatory) Advanced Excel skills. Desirable experience in financial, banking, or insurance sectors. Availability to work in hybrid mode. **Offer Conditions:**