Junior Data Analyst

February 8

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Mercaux

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Mercaux is a company that provides an end-to-end platform for enhancing in-store and remote customer experiences. Their solutions include clienteling, assisted selling, task management, mobile POS, and remote shopping, all designed to unify the online and offline shopping journeys. Mercaux leverages technologies such as self-service kiosks, digital fitting rooms, and real-time analytics to increase sales and staff productivity, personalize customer experiences, and unlock valuable in-store data. The platform serves a wide range of retail sectors, including apparel, footwear, beauty, and home goods, and is known for its easy integration with existing systems, thereby supporting retailers in their digital transformation journey. Mercaux aims to convert store associates into sales stars and enhance overall profitability through innovative client-facing and back-end solutions.

Bridging the online & in-store shopping experience • empowers sales associates • increases customer conversion and UPT • increases customer engagement • Generate Sales Uplift

51 - 200 employees

🛒 Retail

🛍️ eCommerce

☁️ SaaS

📋 Description

• Analyze and prepare regular reports on app usage, including the calculation of usage across all clients and modules and the calculation of product metrics such as ATV, UPT, LTV, and conversion rates. • Demonstrate effects through conducting regression analysis and statistical tests to showcase the value derived from app usage. • Research user behavior by analyzing the starting and ending points of app usage and evaluating conversion at each step. • Analyze interactions with clients through online communication and messaging campaigns, calculating open rates, reply rates, and churn rates. • Provide insights on usage analytics to the business team and clients.

🎯 Requirements

• Experience : You have at least 1 year of experience in analytics. • SQL Proficiency: You are skilled in SQL, including subqueries, joins, aggregate functions, grouping data, and filters. • Python Knowledge: You are knowledgeable in Python for data processing and analysis, particularly with libraries such as Pandas, NumPy, and Matplotlib/Seaborn. • Statistics Understanding: You have a solid understanding of statistics, including hypothesis testing, checking for significance, p-values, and regression analysis. • Language Skills : You are fluent in English.

🏖️ Benefits

• Hybrid workplace (with offices in London/ Barcelona) • Health Insurance (upon probation) • PTO + applicable local public holidays • Bonus scheme (subject to KPI's and performance)