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 pay ~ paid leave ~ benefits vary by role ~ incentive compensation may apply ~ Own analytics workstreams end-to-end from metric definition to dashboard adoption ~ Define, certify, and govern metrics in the semantic layer and ARC for ecommerce, consumer, and loyalty reporting ~ Build and maintain production-grade dashboards and data products (Looker, Looker Studio, Tableau) ~ Write complex SQL against large datasets (BigQuery); develop transformation pipelines with dbt ~ Act as primary analytics contact for stakeholders; translate business problems into analyses and communicate results ~ Conduct deep-dive analyses (cohorting, funnel, CLV, retention, promo/discount, demand)



to surface trends and actions ~ Support experimentation and measurement with A/B test readouts and incrementality framing ~ Define and enforce best practices for metric documentation, dashboards, QA, and data validation ~ Mentor junior analysts and contribute to global analytics community by sharing knowledge ~ Drive governance to align general frameworks with local market needs while closing data gaps with Data Engineering ~ Identify data-quality and readiness gaps and mitigate risks to keep workstreams on track ~5+ years in data analytics, BI, or related field ~5+ 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 plus ~ Analytical foundation in cohorts, segmentation, funnel, retention/CLV; understanding of experimentation (A/B) ~ Proficiency in Python or R for analysis and automation ~ Experience with cloud data platforms; Google Cloud Platform aplus ~ Excellent communication and stakeholder management across regions and functions ~ Mentoring experience and ability to set team standards ~ Bachelor's or Master's in a quantitative field; 5+ years overall analytics/BI experience ~ Track record delivering analytics products with measurable impact ~ Senior IC experience influencing team practices and decisions ~ strong communication ~ stakeholder-management ~ SQL ~ BigQuery ~ dbt

📌 Senior Data Analyst, Dtc (Consumer & Ecommerce Analytics) - Barcelona (Cataluña)
🏢 Levi Strauss u0026
📍 Cataluña