Data Engineering and Analytics

Data Engineering & Analytics Support

The Opportunity

As a Data Engineering & Analytics Support professional at EY you will play a critical role in designing managing and optimizing 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. Your work will directly support business innovation by combining data engineering analytics and Copilot-led AI solutions helping stakeholders move faster from data to insight and action.

Key Responsibilities

• 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.
• Build customize and manage data integration frameworks databases data warehouses and analytical platforms.
• 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.

Skills and Attributes for Success

• AI-first mindset with strong interest in adopting and scaling AI copilots and automation for productivity and innovation.
• Strong foundation in data engineering and analytics with a passion for data-driven business transformation.
• Ability to translate tactical and strategic challenges into practical scalable solutions.
• Confidence and executive presence to engage with senior stakeholders as a trusted advisor.
• Strong relationship-building skills across business technology and global teams.
• Ability to lead and influence workstreams impacting multiple stakeholders and priorities.
• Solid understanding of EY processes services technology landscape and data governance practices.
• Strong judgment operational discipline and decision-making skills.
• Strategic proactive creative and collaborative mindset with adaptability in times of change.
• Excellent written and verbal communication skills with the ability to simplify complexity and tell compelling data stories.
• Strong project management capabilities including coordination across geographies sectors functions and service lines.
• Ability to operate effectively in a multi-country multicultural and highly distributed organization.

Technical Expertise

• Proficiency in SQL and Python for data transformation analytics and pipeline development.
• Hands-on experience with Power BI (preferred) or other visualization tools such as Tableau or Spotfire.
• Strong experience with Microsoft Azure including services such as Azure Data Factory Azure Synapse Azure Data Lake and related analytics services.
• Experience with Copilot Studio for building workflow-driven AI assistants.
• Familiarity with Power Platform (Power Apps Power Automate) and integration with data and Copilot solutions.
• Exposure to Alteryx is preferred but not mandatory.