Top Fashion Data & Analytics Jobs

The Data Scientist will develop and maintain forecasting models, analyze data, and collaborate with stakeholders to drive strategic decisions.

The Operations Analytics Manager will provide insights through quantitative data, focusing on optimizing operational efficiencies and aligning strategies with business goals.

The Senior Data Analyst leads complex projects, analyzes data for decision-making, mentors juniors, and enhances Business Intelligence solutions.

Design, develop, and maintain Power BI dashboards, reports, and data models. Collaborate with stakeholders to gather requirements, ensure data accuracy and governance, optimize performance, document solutions, provide user training and support, and integrate data from multiple sources to enable data-driven decision-making.

Design, develop, and maintain Power BI dashboards, reports, and data models; gather requirements from stakeholders; ensure data accuracy, governance, and security; optimize performance; document solutions; train and support business users.

Lead product master data strategy and a centralized Product Data & Analytics team. Own data governance, PLM/PIM/ERP integrations, reporting/BI, KPI frameworks tied to I2C/GTM, data quality, taxonomy management, and insights that improve product creation and seasonal delivery.

Own marketing measurement and reporting for brand, performance, and organic channels. Maintain data quality, build dashboards, troubleshoot tracking (API/pixels/GA4), run incrementality and forecasting analyses, and deliver actionable insights to improve media performance and acquisition.

Analyze campaign performance and customer data to enhance marketing strategies and customer engagement in the ecommerce space.

Lead and execute business reporting and product analytics for internal enterprise apps. Build and maintain Power BI dashboards and data models, perform hands-on analysis, ensure reporting accuracy and governance, partner with Finance/Product/Engineering, manage a team, and drive analytics adoption and data quality improvements.

Lead analytics and customer data science strategy to drive insights across customer, merchandising, inventory, and design. Build and mentor high-performing teams, deploy advanced analytics and ML, translate data into executive-level recommendations, and partner cross-functionally to influence strategy and business outcomes.