Levi Strauss

1 week ago

Senior Data Analyst, DTC (Consumer & Ecommerce Analytics)

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 2 hours agoStatus: Live

Job Summary

Turn ecommerce and consumer data into decision-ready insight as a senior individual contributor within the global Data, Analytics & AI team. Own metric definition, governance, and certified dashboards, partnering with Product, Marketing, Finance, and regional teams to ensure a trusted single source of truth. Build production analytics products using SQL in BigQuery, dbt transformations, and visualization tools (Looker/Looker Studio/Tableau), while mentoring junior analysts and driving data quality across workstreams.

Location: Barcelona

Workplace: Onsite

Employment Type: Full time

Job Function: Data Analytics & Business Intelligence

Seniority: Mid level

Key Responsibilities

•Own analytics workstreams end-to-end, from business question and metric definition through certified dashboards and adoption with global stakeholders.
•Define, certify, and govern metrics in the semantic layer and ARC to maintain a single consistent source of truth across ecommerce, consumer, and loyalty reporting.
•Build and maintain production-grade dashboards and data products (Looker, Looker Studio, Tableau or similar) to enable self-service and reduce ad-hoc reporting.
•Write complex, performant SQL on large datasets in BigQuery and build/maintain dbt transformation pipelines feeding the analytics layer.
•Act as a primary analytics point of contact, translating ambiguous business problems into clear analyses and communicating results to non-technical audiences with data storytelling.

Pay and Benefits

Salary: EUR 60,500 - 80,700 annually

Perks:Paid LeaveProduct Discounts

Key Requirements

•5+ years hands-on experience in data analytics or business intelligence delivering insight that changed business decisions.
•5+ years writing complex SQL against large datasets in cloud environments; hands-on BigQuery experience and ideally dbt.
•5+ years using data visualization/BI tools (Looker/Looker Studio/Tableau or similar) to select effective visualizations and tell compelling stories.
•Strong grounding in metric definition and governance, including building certified reusable definitions (semantic-layer experience a plus).
•Solid analytical/statistical foundation (cohorting, segmentation, funnel, retention/CLV, and experimentation such as A/B testing and incrementality).

Experience:5+ yearsEcommerceRetailConsumer analyticsBusiness intelligence

Education:Bachelor's in quantitative discipline (statistics, mathematics, economics, computer science, data science, or related)

Skills:CommunicationStakeholder managementMentoringData storytelling

Tech Stack:SQLBigQueryDbtLookerLookMLLooker StudioTableauPythonRGoogle Cloud PlatformA/B testingSemantic layerARCBlock-chain

Company Brief

Levi Strauss

Designs, markets, and sells denim and casual apparel under the Levi's, Dockers, and related brands. The company operates globally through wholesale, retail, and direct-to-consumer channels.

Industry: Fashion & Apparel

Company Size: Enterprise (1,001+ employees)

Revenue: USD 5M to 10M

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: San Francisco, United States

Founded: 1853

Website LinkedIn

Loading job details...

Preparing the role view and application actions.

Levi Strauss

1 week ago

Senior Data Analyst, DTC (Consumer & Ecommerce Analytics)

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 2 hours agoStatus: Live

Job Summary

Location: Barcelona

Workplace: Onsite

Employment Type: Full time

Job Function: Data Analytics & Business Intelligence

Seniority: Mid level

Key Responsibilities

•Own analytics workstreams end-to-end, from business question and metric definition through certified dashboards and adoption with global stakeholders.
•Define, certify, and govern metrics in the semantic layer and ARC to maintain a single consistent source of truth across ecommerce, consumer, and loyalty reporting.
•Build and maintain production-grade dashboards and data products (Looker, Looker Studio, Tableau or similar) to enable self-service and reduce ad-hoc reporting.
•Write complex, performant SQL on large datasets in BigQuery and build/maintain dbt transformation pipelines feeding the analytics layer.
•Act as a primary analytics point of contact, translating ambiguous business problems into clear analyses and communicating results to non-technical audiences with data storytelling.

Pay and Benefits

Salary: EUR 60,500 - 80,700 annually

Perks:Paid LeaveProduct Discounts

Key Requirements

•5+ years hands-on experience in data analytics or business intelligence delivering insight that changed business decisions.
•5+ years writing complex SQL against large datasets in cloud environments; hands-on BigQuery experience and ideally dbt.
•5+ years using data visualization/BI tools (Looker/Looker Studio/Tableau or similar) to select effective visualizations and tell compelling stories.
•Strong grounding in metric definition and governance, including building certified reusable definitions (semantic-layer experience a plus).
•Solid analytical/statistical foundation (cohorting, segmentation, funnel, retention/CLV, and experimentation such as A/B testing and incrementality).

Experience:5+ yearsEcommerceRetailConsumer analyticsBusiness intelligence

Education:Bachelor's in quantitative discipline (statistics, mathematics, economics, computer science, data science, or related)

Skills:CommunicationStakeholder managementMentoringData storytelling

Tech Stack:SQLBigQueryDbtLookerLookMLLooker StudioTableauPythonRGoogle Cloud PlatformA/B testingSemantic layerARCBlock-chain

Company Brief

Levi Strauss

Designs, markets, and sells denim and casual apparel under the Levi's, Dockers, and related brands. The company operates globally through wholesale, retail, and direct-to-consumer channels.

Industry: Fashion & Apparel

Company Size: Enterprise (1,001+ employees)

Revenue: USD 5M to 10M

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: San Francisco, United States

Founded: 1853

Website LinkedIn