Business Analyst Data Analytics and AI

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. 

Business Analyst – Data, Analytics and AI

The Opportunity

As a Business Analyst (Data, Analytics and AI) at EY, you will play a pivotal role in shaping, governing, and delivering data‑driven and AI‑enabled solutions for Clients & Industries (C&I) and select EY‑wide initiatives. You will be part of the Data Strategy team, operating at the intersection of business, analytics, and AI to ensure that Analytics and Copilot‑led agentic solutions are aligned to strategic objectives and deliver measurable business value.

This role combines hands‑on delivery with ownership of analytics and AI governance, operating models, and value realization. You will act as the Business Analyst on Data Analytics and AI initiatives, while also contributing to data strategy, metric standardization, and trusted data foundations across C&I.

Key Responsibilities

Strategic Business Analysis & Stakeholder Leadership

• Lead discovery and requirements definition for data, analytics, and AI initiatives across Clients & Industries.
• Partner with senior stakeholders to shape business problems into clear analytics and AI use cases with defined success measures.
• Translate business needs into structured requirements, user stories, and acceptance criteria aligned to delivery backlogs.
• Act as a trusted advisor, balancing strategic objectives with execution‑focused delivery.

Data Strategy, Governance & Operating Model

• Contribute to C&I data strategy by identifying priority data domains, decision journeys, and analytics opportunities.
• Define and govern enterprise KPIs, metrics, and reporting standards to ensure consistency and trust.
• Maintain business glossaries, metric definitions, and analytics standards aligned with data governance practices.

Data Collection, Data Quality & Trusted Data

• Define data collection requirements including sources, granularity, frequency, ownership, and quality expectations.
• Identify data gaps, quality issues, and remediation needs. Establish validation rules and “trusted data” criteria for analytics and AI use cases.
• Ensure compliance with EY data security, privacy, and regulatory standards, including GDPR.

Analytics Delivery, Insights & Value Realization

• Partner with analytics teams to deliver actionable insights and executive‑ready narratives.
• Validate dashboards, reports, and AI outputs for accuracy, relevance, and business alignment.
• Drive adoption through enablement, walkthroughs, and targeted stakeholder communication.
• Identify optimization opportunities to enhance analytics and AI impact.
• Provide functional guidance to junior Data Engineers and ensure clarity of requirements and priorities.
• Collaborate across global, multi‑disciplinary C&I teams to deliver outcomes.

Skills and Attributes for Success

• AI‑first mindset with strong interest in Copilot‑led solutions and intelligent automation.
• Strong Business Analysis capability in data‑ and analytics‑heavy environments.
• Ability to balance strategic thinking with hands‑on delivery and execution rigor.
• Executive presence and confidence engaging senior stakeholders as a trusted partner.
• Strong relationship‑building and influencing skills across business and technology teams.
• Excellent written and verbal communication skills with the ability to simplify complexity.
• Strong judgment, structured thinking, and operational discipline in a fast‑paced environment.
• Ability to operate effectively across geographies, cultures, and service lines.

Technical Expertise

• Strong working knowledge of data and analytics concepts (KPIs, data models, data quality, data lineage).
• Proficiency in SQL for data validation and analysis; familiarity with Python is advantageous.
• Experience with Power BI (preferred) or similar visualization tools (Tableau, Spotfire).
• Familiarity with Microsoft Azure analytics services (e.g., Data Factory, Synapse, Data Lake) from a requirements and design perspective.
• Experience with Copilot Studio for defining and validating AI agent solutions.
• Familiarity with Power Platform (Power Apps, Power Automate) integration patterns.
• Exposure to Alteryx preferred but not mandatory.

What We Look For

• We are looking for Manager‑level professionals who can combine data strategy, analytics delivery, and AI enablement to drive tangible business outcomes for Clients & Industries. You should be a structured problem solver, a strong communicator, and a collaborative leader who can operate comfortably across strategy, governance, and execution.
• If you are excited about shaping data‑driven and Copilot‑enabled experiences at scale, we encourage you to apply and be part of our journey.

EY | Building a better working world 

 
EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets.  

 
Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate.  

 
Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.