Top Fashion Data & Analytics Jobs

The Sr. Analyst configures the o9 Planning System to optimize retail planning solutions, collaborating with stakeholders to implement and support planning processes.

The Senior Data Engineer will architect and implement data pipelines, manage their performance, and partner with stakeholders to ensure data accessibility and quality. Responsibilities include assessing data sourcing needs and providing visibility into pipeline status.

Lead insights and analytics strategy for Poshmark's operations, managing a cross-geo team and partnering with stakeholders to drive data-informed decisions and improve operational efficiency.

The Planner will analyze sales and inventory data, create reporting for DTC channels, manage inventory projections, and collaborate with teams to optimize financial performance and achieve revenue targets.

We are seeking a Business Systems Analyst to bridge business objectives with technical solutions in eCommerce, focusing on international expansion initiatives.

Analyze ecommerce and omni-channel data to create dashboards (GA4, Power BI), drive A/B and multivariate tests, inform CDP/CRM strategies, and deliver actionable insights to increase sales and optimize site/mobile experiences.

Lead the data team's project management and hands-on engineering efforts, enhancing data access and architecture while mentoring team members. Drive AI-powered analysis and self-serve analytics across the company.

The VP of Data & Analytics Technology will create and implement a data strategy, leading teams to build modern data platforms and analytics tools, while ensuring data governance and quality. This role involves collaboration across departments to enable actionable insights and drive business transformation.

The role involves leading a systems analysis team for Oracle Cloud ERP in finance operations, ensuring process scalability and compliance, while mentoring team members and driving continuous improvement.

The program is for senior-level talent focusing on data analysis, operational support, process improvement, supply chain teamwork, and cross-functional collaboration.