Senior Data Analyst, DTC (Consumer & Ecommerce Analytics)

Calling all originals: At Levi Strauss & Co., you can be yourself — and be part of something bigger.   We’re   a company of people who like to forge our own path and leave the world better than we found it. Who   believe   that what makes us different makes us   stronger.   So   add your voice. Make an impact. Find your fit — and your future.   At Levi Strauss & Co, we are revolutionizing the apparel business and redefining the way denim is made.   We are taking one of the world's most iconic brands into the next century: from creating machine learning-powered denim finishes to using block-chain for our factory workers' wellbeing, to building algorithms to better meet the needs of our consumers and optimize our supply chain.   Be a pioneer in the fashion industry by joining our global Data, Analytics & AI "startup with assets," where you will have the chance to build exciting solutions that will   impact   our global business across continents.   As a   Senior Data   Analyst   you will be a senior individual contributor within the global Data, Analytics and AI team, turning ecommerce and consumer data into trusted, decision-ready insight for stakeholders across regions. You will own the definition, build-out, and governance of key metrics and dashboards — partnering with Product, Marketing, Finance, and   Regional   teams to make sure the business is steering on numbers it can trust. This role sits at the   center   of our analytics foundations: our data platform as the   single source   of truth, and the emerging semantic layer.   In this role you will move fluently between SQL, the data warehouse, and visualization tools to answer business questions, build self-service products, and certify the definitions that everyone else consumes. You will raise the bar on data quality, consistency, and storytelling — and help   establish   the global-with-regional-voice governance model that lets local markets move fast without fragmenting the truth.   You will be expected to mentor junior analysts,   establish   best practices, and contribute to the global Data, Analytics & AI community by sharing your knowledge and designing scalable, global solutions.

Own key analytics workstreams end-to-end   — from business question and metric definition through certified dashboard and adoption — partnering with stakeholders across the global organization.   Define, certify, and govern metrics   in the semantic layer and ARC, ensuring 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) that drive self-service and reduce ad-hoc reporting load.   Write complex, performant SQL   against large datasets in   BigQuery ; build and   maintain   transformation pipelines ( dbt ) feeding the analytics layer.   Act as the primary analytics point of contact   for assigned business stakeholders — translating ambiguous business problems into clear analyses and communicating results to non-technical audiences with compelling data storytelling.   Conduct deep-dive analyses ( cohorting , funnel, CLV, retention, promo/discount, demand) to surface trends, quantify impact, and recommend action.   Support experimentation and measurement   — partnering on A/B test readouts, KPI alignment, and incrementality framing.   Define and enforce best practices   for metric documentation, dashboard standards, QA, and data validation within the team.   Mentor and coach   junior analysts, providing guidance on SQL, visualization, business framing, and career development.   Drive   global–regional analytics governance   — aligning global frameworks with local market needs so regions get the nuance they need without forking definitions.   Proactively   identify   data-quality, consistency, and readiness gaps, and partner with