Top 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 Senior Data Engineer will develop data governance frameworks, ensure data quality, manage tools for metadata and lineage, and collaborate with teams for data policies and training.

Lead detection, investigation, and mitigation of payments fraud across cards and mobile. Build and own risk controls, metrics, reporting, and cross-functional analytics projects using SQL and BI tools to scale monitoring and partner with product, data science, and engineering.

As a PhD intern, you will design and develop software solutions for automated trading systems, collaborating closely with the Quantitative Research team.

Lead the development of analytics solutions across operations, manage a team of analysts, and drive operational excellence and decision-making through data insights.

The Risk Analyst will develop strategies to mitigate fraud risk, analyze data, and collaborate with various teams to support low friction customer experiences. Responsibilities include reviewing accounts, creating analytical models, and reporting on progress against business goals.

Lead the development of product analytics at Fora, managing a small team, collaborating with product management, engineering, and design to define success metrics and influence decision-making.

As a Machine Learning Engineer, you will enhance internal libraries for deep learning, collaborate with researchers, and optimize workflows for cost savings.

Monitor and analyze the performance and reliability of deployed Generative AI systems. Collaborate cross-functionally to improve GenAI services, track KPIs, and drive operational improvements.

Lead a team of data engineers and analysts, manage cross-functional data projects, and integrate insights to improve product and customer value.