Top Fashion Data & Analytics Jobs

The Ecommerce & Testing Analyst will analyze performance, support A/B testing, and deliver actionable reporting to enhance site performance and customer experience.

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.

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.

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.

As the Lead Data Engineer, you'll guide the Customer Identity team, focusing on improving customer recognition systems, implementing quality KPIs, and mentoring engineers.

The eCommerce Planning Analyst will analyze data and trends, optimizing inventory and providing insights to support the eCommerce Planning Manager's decisions.

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.

The Senior Analyst, People Analytics analyzes workforce data, translates business questions into KPIs, and collaborates with various teams to deliver insights and reporting solutions.

Lead enterprise analytics product strategy and executive reporting, establish data governance and a corporate data dictionary, partner with data engineering and data science to build scalable analytics solutions, and drive adoption of AI-enabled insights for C-suite decision-making.

The Data Scientist will develop and oversee measurement systems, analyze customer behavior, enhance marketing strategies and translate data insights into actionable business recommendations.