Data Analyst, Customer Management

Description

Job Summary: We are seeking a Data Analyst for Falabella Retail who will transform information into decisions to enhance customer experience through data analysis. Key Highlights: 1. Discover stories in data to impact customer experience. 2. Generate actionable insights and recommendations to improve the experience. 3. Collaborate with strategic teams and diverse departments. **Job Description** ---------------------- Data Analyst \| Falabella Retail Are you passionate about uncovering stories behind data and creating real impact on people's experiences? At Falabella Retail, we are looking for our next Data Analyst to join the Customer Service team, where you’ll have the opportunity to transform information into decisions that improve the experience of millions of customers. If you enjoy analyzing data, identifying patterns, building dashboards, and turning findings into improvement opportunities, this challenge is for you. What will you do? You will analyze complaint data, survey results, and operational processes to identify trends and root causes. You will build dashboards and metrics to monitor customer experience and after-sales processes. You will generate actionable insights and recommendations to improve our customers’ experience. You will collaborate with teams across Logistics, Commercial, Operations, Technology, UX, and other strategic areas. You will participate in initiatives aimed at optimizing processes and measuring their impact using data. What are we looking for? Professionals with degrees in Business Engineering, Industrial Civil Engineering, Computer Engineering, or related fields. Up to 2 years of experience in data analysis, analytics, business intelligence, or similar areas. Proficiency in SQL. Experience with visualization tools such as Power BI, Looker Studio, or similar. Desirable knowledge of Python and cloud data platforms such as BigQuery. Analytical, curious, proactive individuals with the ability to clearly communicate findings. Why Falabella? Because here, data goes beyond reports. Your analyses will directly impact our customers’ experience, helping us make better decisions, innovate, and build an operation increasingly centered on people. If you’re looking for a place to learn, grow, and make an impact with your work, we’re waiting for you! Apply now and become part of transforming customer experience at Falabella Retail. **Candidate Requirements** -------------------------- * Business Engineering, Industrial Civil Engineering, Computer Engineering, or related degree. * Maximum 2 years of experience in data analysis, business intelligence, or analytics. * Proficiency in SQL (mandatory). * Knowledge of Python (desirable). * Experience working with BigQuery (desirable). * Experience with visualization tools such as Power BI, Looker Studio, or similar. * Proficiency in Excel, pivot tables, and formulas for information analysis. This position is open to candidates with disabilities. **Selection Process** ------------------------ The selection process is conducted via Aira — a recruitment platform designed to enhance your application experience. To apply, you only need: 1\. Apply to the position 2\. Check your email 3\. Log in to Aira and respond to the requested questions and/or assessments Then, if your profile matches what we’re looking for, we’ll contact you by email (via Aira) to proceed to the in-person stage. **About Us** ------------------ We are over 88,000 people who work every day toward our firm Purpose — Simplify and Enjoy Life More. We operate in 9 countries and consist of five major brands spanning diverse industries: Falabella Retail, Sodimac, Banco Falabella, Tottus, and Mallplaza. Each brand shapes who we are, and together — as One Team — we strive daily to reinvent ourselves and exceed our customers’ expectations. A team full of dreams that makes things happen. We dare to launch and innovate, take risks, and create opportunities that keep us at the forefront — driving us to constantly reinvent ourselves to deliver the best shopping experience at every touchpoint with us.