**Company Description:** We are more than 90,000 people who work every day towards a 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 defines who we are, and together, as One Team, we strive daily to reinvent ourselves and exceed our customers' experiences. If you are a Falabella employee, check out all the available courses at Academia Falabella, which will help you continue advancing your development and prepare for your next adventure with us! **Job Mission:** Are you passionate about transforming 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 findings and collaborate with other departments to obtain and interpret data. 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’ll have the opportunity to work on challenging projects with real impact, within a collaborative environment. **Requirements:** Professionals from Statistics, Economics, Industrial, Systems, or related fields Experience analyzing large volumes of data. Experience creating reports. 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:**