<p>**Please email Valerie Nielsen for immediate response**</p><p><br></p><p><strong>Data Analytics Manager (Retail experience is strongly preferred)</strong></p><p><strong>Onsite | Downtown Los Angeles</strong></p><p><strong>Base Salary: 160,000 - 180,000</strong></p><p>We are seeking a <strong>Data Analytics Manager</strong> to lead analytics and data engineering efforts that directly impact business strategy and operational decision-making. This role will partner closely with leadership and cross-functional teams across merchandising, retail, and supply chain to turn complex data into actionable insights.</p><p><strong>What You’ll Do</strong></p><ul><li>Lead the design, development, and optimization of scalable analytics and data engineering solutions</li><li>Translate business questions into analytical frameworks, models, and dashboards</li><li>Partner with Retail, Merchandise Planning/Buying, and Supply Chain teams to drive data-informed decisions</li><li>Build and productionize tools and systems that improve data reliability, accessibility, and performance</li><li>Mentor and guide analysts and engineers, setting best practices for analytics and data quality</li><li>Present insights and recommendations to senior stakeholders in a clear, compelling way</li></ul><p><br></p><p><br></p>

<p>What We’re Looking For</p><p><strong>Experience</strong></p><ul><li>5+ years of experience in data engineering, analytics, or related roles</li><li>Proven experience in <strong>Retail, Merchandise Planning/Buying, or Supply Chain/Logistics</strong> environments</li></ul><p><strong>Technical Skills</strong></p><ul><li>Advanced <strong>SQL</strong> skills, including writing complex queries from scratch</li><li>Fluency in <strong>Python and/or R</strong> for statistical analysis and modeling</li><li>Hands-on experience with data visualization tools such as <strong>Tableau, Looker, or Excel</strong></li><li>Experience building, deploying, and maintaining scalable data systems and analytics tools</li></ul><p><br></p>

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