Senior Data Analyst, Dtc (Consumer & Ecommerce Analytics) - Barcelona

Levi Strauss & Co; Barcelona; Presencial; EUR 90.000 - 130.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Base pay

Paid leave

Incentive compensation

Benefits vary by role

Descripción de la vacante

Levi Strauss & Co in Barcelona, Spain seeks a senior data analytics professional to turn ecommerce and consumer data into trusted insights that guide global decisions. You will own metrics, governance, and dashboards across regions, collaborating with Product, Marketing, and Finance to ensure a single source of truth.

You’ll mentor others and shape analytics governance to balance global standards with local nuance.

Formación

• 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, Tableau).
• Bachelor's or Master's in a quantitative field; 5+ years analytics experience.

Responsabilidades

• Own analytics workstreams end-to-end from metric definition to dashboard adoption.
• Define, certify, and govern metrics in 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).

Conocimientos

SQL

BigQuery

Looker / LookML

dbt

Python or R

Data storytelling

Stakeholder management

Mentoring

Analytical thinking

Cloud data platforms

Educación

Bachelor's or Master's in a quantitative field

Herramientas

Looker Studio

Tableau

Looker

dbt

Google Cloud Platform

BigQuery

Descripción del empleo

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 global 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 a plus
• 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