Top Fashion Data & Analytics Jobs

Support global Ready-to-Wear assortment planning across pre-season and in-season stages. Provide financial frameworks, analyze sales and trends, guide product lifecycle, partner with cross-functional teams, and drive global product strategy to meet growth and productivity targets.

The role involves solving business issues using technology, managing global business requirements, performing fit-gap analysis, and supporting system implementations. Responsibilities also include documenting work, resolving service requests, and suggesting technology solutions.

Manage and maintain client data and internal data systems, respond to support requests, produce regular and ad-hoc reports, advise on data-entry best practices, improve data integrity, and support cross-functional projects.

The Data Integrity Lead will ensure data accuracy and metric consistency, develop validation systems, and work with teams to resolve data issues.

The Consumer Insights Manager will lead consumer research to influence marketing and merchandising strategies, and manage insights from various data sources for stakeholder presentations.

The Data Analyst will provide data-driven insights for sourcing strategies, managing data integrity, and developing analytical reports and dashboards.

The Data Analyst 2 supports the Nordstrom Product Group by designing and building LookML data models to provide insights, improve decision making and drive business value.

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

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.

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.