In this role you turn ecommerce and consumer data into trusted insights that guide global decision-making. You own metrics, governance, and dashboards across regions, collaborating with Product, Marketing, and Finance to ensure a single source of truth. You’ll work across SQL, data warehouses, and visualization tools to deliver self-service analytics, strong data storytelling, and scalable global solutions. You’ll mentor others and shape analytics governance to balance global standards with local nuance. This is a data-centric opportunity at a transformative fashion company.Base paypaid leavebenefits vary by roleincentive compensation may applyOwn analytics workstreams end-to-end from metric definition to dashboard adoptionDefine, certify, and govern metrics in the semantic layer and ARC for ecommerce, consumer, and loyalty reportingBuild and maintain production-grade dashboards and data products (Looker, Looker Studio, Tableau)Write complex SQL against large datasets (BigQuery); develop transformation pipelines with dbtAct as primary analytics contact for stakeholders; translate business problems into analyses and communicate resultsConduct deep-dive analyses (cohorting, funnel, CLV, retention, promo/discount, demand)



to surface trends and actionsSupport experimentation and measurement with A/B test readouts and incrementality framingDefine and enforce best practices for metric documentation, dashboards, QA, and data validationMentor junior analysts and contribute to global analytics community by sharing knowledgeDrive governance to align integral frameworks with local market needs while closing data gaps with Data EngineeringIdentify data-quality and readiness gaps and mitigate risks to keep workstreams on track5+ years in data analytics, BI, or related field5+ years writing complex SQL in cloud environments (BigQuery or equivalent)5+ years using data visualization/BI tools (Looker/LookML, Looker Studio, Tableau)Strong metric definition and governance experience; semantic-layer knowledge a plusAnalytical foundation in cohorts, segmentation, funnel, retention/CLV; understanding of experimentation (A/B)Proficiency in Python or R for analysis and automationExperience with cloud data platforms; Google Cloud Platform aplusExcellent communication and stakeholder management across regions and functionsMentoring experience and ability to set team standardsBachelor's or Master's in a quantitative field; 5+ years overall analytics/BI experienceTrack record delivering analytics products with measurable impactSenior IC experience influencing team practices and decisionsstrong communicationstakeholder-managementSQLBigQuerydbt#J-18808-Ljbffr

📌 Senior Data Analyst, Dtc (Consumer & Ecommerce Analytics) - Barcelona
🏢 Levi Strauss
📍 Barcelona