Data Engineering and Analytics Specialist

Data Engineering and Analytics

At EY, we’re all in to shape your future with confidence. 

We’ll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. 

Join EY and help to build a better working world. 

 

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.

EY | Building a better working world

EY is building a better working world by creating new value for clients, people, society and the planet, while building trust in capital markets.

Enabled by data, AI and advanced technology, EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow.

EY teams work across a full spectrum of services in assurance, consulting, tax, strategy and transactions. Fueled by sector insights, a globally connected, multi-disciplinary network and diverse ecosystem partners, EY teams can provide services in more than 150 countries and territories.