Data Engineering and Analytics

We're looking for a Data Engineering and Analytics Support professional to design, manage, and optimize modern data and AI-driven analytics platforms. You will be part of the Data Strategy team, supporting Clients & Industries (C&I) and select EY-wide initiatives by enabling scalable data foundations, advanced analytics, and AI-powered experiences.

Requirements

• Solve complex business and data problems with a rapid prototyping mindset, intellectual curiosity, and an AI-first approach.
• Design, build, and maintain robust data pipelines that supply high-quality, trusted data for analytics, reporting, and machine learning use cases.
• Develop standardized and reusable methods to extract, transform, and integrate data from multiple EY systems and tools.
• Apply experience with APIs, data sharing, and integration technologies to enable secure and scalable data exchange across platforms.
• Manage data and metadata by transforming raw data into analysis-ready and insight-ready datasets.
• Leverage AI, Large Language Models (LLMs), and Copilot capabilities to generate summaries, insights, automate analytics workflows, and optimize business processes.
• Design and implement Copilot Studio solutions, including conversational analytics agents and task-specific copilots integrated with enterprise data sources.
• Partner with business and analytics teams to translate data-driven insights into actionable recommendations.
• Use data visualization and storytelling techniques to convert complex analyses into clear business value.
• Monitor, optimize, and enhance the performance, reliability, and scalability of connected systems and pipelines.
• Ensure data security, privacy, and compliance with EY policies, GDPR, and information security standards.
• Identify data optimization opportunities and emerging patterns to unlock additional business value.
• Stay current with emerging technologies across data engineering, analytics, AI, and the Microsoft ecosystem.