Data Analyst

Description

Job Summary: The Data Analyst will apply GenAI in analytical processes to uncover insights, personalize the customer experience, and support business strategic decision-making. Key Highlights: 1. Explore and apply GenAI in analytical processes 2. Personalize the customer experience 3. Support business strategic decision-making **Data Analyst (1 vacancy)** **Database and computer network specialists not classified under other headings \- Database designers and administrators** ==================================================================================================================================================================================== ### **CONTACT INFORMATION** **Company:** Seguros Falabella **Economic activity:** Other types of monetary intermediation n.e.c. ### **DESCRIPTION** Job mission: Explore and apply GenAI in analytical processes to uncover insights, personalize the customer experience, and transform data into action. The Data Analyst will be responsible for applying GenAI in analytical processes to discover insights and personalize the customer experience, supporting business strategic decision-making. Their objective will be to translate these analyses into concrete actions, leveraging LLMs, agents, and automations that generate value through increased sales, reduced churn, improved customer retention, and development of cross- and up-selling strategies. 1\. Analyze large volumes of data to identify patterns and business opportunities, focusing on acquisition, conversion, retention, churn, and cross/up-selling. 2\. Clearly and effectively communicate insights, findings, and recommendations to... (More information upon application) Metropolitan Region, Las Condes 16/04/2026 \- 21/05/2026 Confidential Full-time ### **REQUIRED QUALIFICATIONS** **Education level:** **Experience:** Not required ### **CHARACTERISTICS** **Contract type:** Indefinite-term contract **Offered position level:** Other **Source of the offer:** API **Professional practice opportunity:** No