ppWe are looking for an bEcommerce Data Analyst /b to join an international digital and ecommerce environment. /p pIn this role, you will play a key part in understanding customer behaviour across digital channels and transforming data into actionable insights that improve customer experience and commercial performance. You will work closely with business, product, UX, and technical teams, supporting decision‑making across the ecommerce roadmap, experimentation initiatives, and customer journey optimisation efforts. /p pThis is a highly cross‑functional role, ideal for someone who enjoys working with large datasets, digital analytics tools, experimentation frameworks, and stakeholder management while helping shape data‑driven decisions across multiple digital touchpoints. /p pIf you enjoy working with bSQL, Tableau, Looker, GA4, A/B testing, customer behaviour analytics, and ecommerce optimisation /b, this could be a great fit. /p h3What you’ll do /h3 ul liConduct analysis using internal datasets and digital analytics tools to generate actionable insights that improve customer experience and commercial performance. /li liAnalyse customer interactions and performance across web, mobile, email, and kiosk touchpoints, identifying opportunities to improve engagement and conversion. /li liBuild, update, and maintain dashboards and reporting solutions using Tableau, Looker, and other visualisation tools, leveraging new and existing data sources. /li liReview and interpret digital performance metrics, including email marketing channel performance, to support continuous improvement initiatives. /li liAnalyse on‑site and in‑app customer behaviour, identifying trends, opportunities, and friction points throughout the customer journey. /li liCollaborate closely with UX/UI Research, Product, Business, and Technical teams to understand user interaction patterns and inform prioritisation decisions. /li liSupport experimentation initiatives by analysing A/B test design, execution, and results, helping drive experimentation and CRO decision‑making.



/li liSupport key initiatives across the ecommerce roadmap, experimentation pipeline, and customer journey optimisation programmes. /li liPrepare reports and present insights to stakeholders at all levels, including senior leadership. /li liTranslate complex analytical findings into clear, structured, and actionable recommendations. /li liSupport ad hoc analytical requests and answer business questions with robust, data‑driven insights. /li liWork with large datasets using SQL and analytical tools to uncover trends, patterns, risks, and opportunities. /li liCollaborate with cross‑functional teams to improve reporting capabilities, analytical processes, and data‑driven decision‑making. /li liCommunicate complex analytical topics effectively to both technical and non‑technical audiences. /li liWork in a fast‑paced, customer‑centric, and data‑driven environment. /li /ul h3Qualifications /h3 ul liBachelor’s degree in Engineering, Business, Statistics, Economics, Computer Science, Mathematics, Business/Data Analytics, or a related field. /li liMinimum 2 years of experience in Digital Analytics, Ecommerce Analytics, Data Analytics, or similar quantitative roles. /li liStrong experience analysing large datasets and translating findings into actionable recommendations. /li liStrong proficiency in SQL for querying, managing, and analysing large datasets. /li liHands‑on experience with dashboarding and data visualisation tools such as Tableau or Looker. /li liExperience analysing digital platforms, customer behaviour, and online performance metrics. /li liExperience with UX research methodologies and/or A/B testing frameworks in ecommerce or online sales environments.



/li liFamiliarity with ecommerce and behavioural analytics tools such as GA4 and Quantum Metric. /li liProven ability to transform complex data into actionable business recommendations. /li liExcellent communication and collaboration skills, with the ability to work effectively across technical and business teams. /li liAbility to present analytical findings to both technical and non‑technical audiences. /li liStrong analytical thinking, problem‑solving skills, and attention to detail. /li liComfortable working in cross‑functional and fast‑paced environments. /li liExperience with scripting languages such as Python or R. /li liExperience working in ecommerce, digital products, or customer experience environments. /li liKnowledge of customer journey analytics and behavioural analytics methodologies. /li liExperience collaborating with UX/UI Research teams. /li liExperience reporting to senior leadership and executive stakeholders. /li liExperience with experimentation platforms and optimisation initiatives. /li liUnderstanding of digital marketing metrics and email performance analytics. /li liExperience with additional BI and analytics tools. /li liKnowledge of customer segmentation, retention analysis, personalisation initiatives, or conversion optimisation programmes. /li /ul h3Benefits /h3 ul liHybrid model – 2 days on‑site per week. /li liHigh team stability and collaborative culture. /li li€1200 annual training budget and continuous learning opportunities. /li liPrivate health insurance and benefits package. /li liFlexible working hours. /li liWellhub: fitness, wellness, and mental health support. /li liFootball and paddle tennis teams sponsored by Capitole. /li liTeam building events, integral events, and strong tech communities. /li /ul h3Information Security Notice /h3 ul liThe employee will have access to confidential information related to Capitole and the assigned project. /li liCompliance with internal security and information protection policies is mandatory. /li /ul /p #J-18808-Ljbffr

📌 Data Analyst | E Commerce (Barcelona)
🏢 Capitole
📍 Barcelona