.We're a company of people who like to forge our own path. We invented the blue jean in 1873, and we reinvented khaki pants in 1986. We pioneered labor and environmental guidelines in manufacturing. And we work to build sustainability into everything we do. Our brands stand for freedom and self-expression around the world.Where we lead, others follow. For more than 160 years, we've used the strength of our brands to lead with our values and make an outsized impact on the world. We employ more than 15,000 people globally to support our great brands: Levi's, Dockers, Denizen, Signature by Levi Strauss & Co. and Beyond Yoga.About the JobLevi's is looking for a seasoned Analyst and Data Visualization Expert to support the data science and analytics team focused on Direct To Consumer data products. The ideal candidate is a great storyteller and strong technical contributor who has experience solving business problems with data-driven tools. You will be responsible for delivering a suite of analytical products including analyses, dashboards, insights, and recommendations with especial focus on clickstream data. You will collect, analyze, and present data to improve strategic decision making and to track the benefits unlocked by the data products. You should have a high degree of curiosity about the business and the skills to discover impactful insights from data. You should be able to communicate those insights in a way that builds confidence and enables decisions that drive business value.Conduct analysis to estimate expected value of data products. Measure and track benefits created by data products, and convert them to financial or key KPI metricsSupport business stakeholders and regional data analysts by understanding their needs and providing guidance and support.Create dashboards to track adoption and business impact of features and data product launched.Dive deep into complex business problems and provide insights on digital features and AI model performance through hypothesis testing. Partner with cross functional teams on implementation.Partner with data science, data analytics and product managers on planning, goal setting and prioritization.Partner with data and engineering teams to improve instrumentation and product/models health reporting, pre/post analysis and business debugging.Partner with A/B test team to design experiments and post-hoc analysis of results.Bring data to life through storytelling in a clear and meaningful way to audiences with mixed levels of technical expertise and informing key strategic decisions.Promote a culture of data driven technical excellence, ownership, collaboration.About You3+ years of professional experience analyzing complex data, drawing conclusions, and making recommendations.3+ years of applied data visualization experience. Tableau and PowerBI as main visualization tools
