Data Analyst

Description

Job Summary: We are seeking a Data Analyst to generate actionable insights from data analysis, supporting decision-making and improving Ecommerce outcomes. Key Highlights: 1. Generate actionable insights for Ecommerce decision-making. 2. Join the Tottus Peru Ecommerce team. 3. Collaborate with various departments to interpret data. **Job Description** ---------------------- Role Mission: Generate actionable insights from data analysis to support decision-making and improve Ecommerce outcomes. Job Description: At Tottus Peru, we are looking for a Data Analyst to join our Ecommerce team. The mission of this role is to generate actionable insights based on data analysis to support decision-making and contribute to the continuous improvement of digital business results. Key Responsibilities: Select, clean, and transform large volumes of data for subsequent exploitation and analysis. Analyze data using descriptive statistics, profiling, segmentation, and, where applicable, predictive modeling. Interpret results, generate insights, and formulate conclusions oriented toward decision-making. Develop clear visualizations and dashboards that facilitate information comprehension by users. Present findings and collaborate with various departments to obtain and interpret data. Requirements: Professionals with degrees in Statistics, Industrial Engineering, Systems Engineering, or related fields. Strong expertise in analyzing large volumes of data (mandatory). Prior experience in retail, preferably in supermarkets and specifically within the Ecommerce vertical. Intermediate-to-advanced proficiency in SQL (mandatory). Intermediate-to-advanced knowledge of data visualization tools (mandatory). Knowledge and/or experience with GCP BigQuery, Python, and Looker (mandatory). High capability to interpret results and generate actionable insights focused on Ecommerce. If you believe you meet all the requirements for this position and are ready to take the next step in your professional career, apply now — we want to meet you! **Candidate Requirements** -------------------------- * Professionals with degrees in Statistics, Industrial Engineering, Systems Engineering, or related fields * Strong expertise in analyzing large volumes of data (mandatory) * Experience working in retail, ideally in the supermarket industry and specifically in Ecommerce * Intermediate-to-advanced SQL proficiency (mandatory) * Intermediate-to-advanced data visualization proficiency (mandatory) * Knowledge/experience with GCP BigQuery, Python, and Looker (mandatory) * Strong ability to interpret results and generate actionable insights with an Ecommerce focus **Selection Process** ------------------------ The selection process is conducted via Aira — a recruitment platform designed to enhance your application experience. To apply, you only need to: 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 are seeking, we will 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 comprise five major brands across 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 continuously reinvent ourselves and deliver the best shopping experience at every touchpoint with us.