Data Engineering And Analytics - Business Analyst

At EY, were all in to shape your future with confidence. Well 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. 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 datadriven and AIenabled solutions for Clients & Industries (C&I) and select EYwide initiatives. You will be part of the Data Strategy team, operating at the intersection of business, analytics, and AI to ensure that Analytics and Copilotled agentic solutions are aligned to strategic objectives and deliver measurable business value. This role combines handson 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 executionfocused 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 executiveready 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, multidisciplinary C&I teams to deliver outcomes. Skills and Attributes for Success AIfirst mindset with strong interest in Copilotled solutions and intelligent automation. Strong Business Analysis capability in data and analyticsheavy environments. Ability to balance strategic thinking with handson delivery and execution rigor. Executive presence and confidence engaging senior stakeholders as a trusted partner. Strong relationshipbuilding 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 fastpaced 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 Managerlevel 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. 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 At