Manager, Data - Retail & eCommerce Analytics

a.k.a. Brands is seeking a Manager, Data - Retail & eCommerce Analytics to join our growing Data & Analytics team. In this role, you’ll leverage data to uncover insights that drive strategy and decision‑making across our portfolio of next‑generation fashion brands. You’ll partner closely with teams in Merchandising, Planning, Marketing, Finance, and Operations to analyze performance across digital and retail channels. The ideal candidate combines strong technical skills with business acumen and a passion for retail and fashion. You’re a self‑starter who thrives on solving complex problems, optimizing performance, and transforming data into clear, actionable insights that create measurable business impact. Key Responsibilities Conduct advanced analyses on sales, inventory, pricing, and customer performance across DTC and retail channels to identify trends and opportunities. Partner cross‑functionally to deliver insights that support forecasting, planning, and strategic decision‑making. Lead deep‑dive analyses into brand, channel, and customer behavior to uncover growth and efficiency opportunities. Collaborate with the data engineering team to develop new metrics, data streams, and data structures that enhance data accessibility and reporting capabilities. Collaborate with data engineering to enhance data quality, streamline pipelines, and build scalable data models that improve access and reliability. Develop and maintain dashboards, visualizations, and reports (Tableau or similar) to track key business metrics. Ensure accuracy, consistency, and governance of data across analytics and reporting systems. Translate complex data findings into concise, business‑friendly presentations and recommendations for stakeholders. Support continuous improvement of analytical frameworks, metrics, and processes across the organization. Qualifications Bachelor’s degree in Data Analytics, Business, Economics, Statistics, or a related field. 4–7+ years of experience in data or business analytics, ideally in retail, fashion, or consumer goods. Strong proficiency in SQL, Excel/Google Sheets, and at least one BI tool (Tableau strongly preferred). Deep understanding of retail and eCommerce performance metrics (sales, conversion, inventory, margin, customer segmentation). Excellent storytelling and communication skills — able to distill data into clear insights and influence decisions. Experience working with omnichannel data from platforms such as Shopify, NetSuite, or similar systems is a plus. Detail‑oriented with strong problem‑solving skills and the ability to work independently in a fast‑paced environment. Location Hybrid in San Francisco or fully remote. #J-18808-Ljbffr a.k.a. Brands