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.