Join EY's Global Talent Delivery Team as a Senior Analyst focused on Talent Intelligence. This role is key to aligning talent solutions, processes, and data, driving continuous improvement through digital enablement, and delivering crucial management information and predictive talent insights. You'll be part of the Talent Insights and Analytics Team (TIA), empowering leaders with data-driven talent decisions through reliable, integrated talent data solutions.

The TIA Advanced Analytics Sub-Pillar is expanding its capabilities to enhance our existing data models and solutions. Our mission is to leverage Talent Intelligence by analyzing diverse external talent landscape information to support business decisions. We offer comprehensive Talent Intelligence solutions, analysis, and recommendations to EY's global leaders across all service lines and geographies, addressing challenges throughout the talent lifecycle. Our dedicated Global Talent Intelligence platform provides access to vast datasets, including millions of mapped companies, billions of profiles, and data from thousands of cities, all standardized with a central skills taxonomy.

Transform and analyze external vendor data to ensure accuracy and relevance. Assess data source effectiveness and drive continuous improvement in the Talent Intelligence analytics suite. Utilize R or Python for data analysis and interpretation. Leverage SQL for manipulating Talent Intelligence data. Develop and maintain Power BI dashboards for effective data visualization and insight communication. Conduct applied talent research and productize insights using internal and external economic and talent data. Collaborate with the Global Talent Intelligence Behavioral Science Lead and team members to understand business needs and deliver tailored solutions. Assist in the development and delivery of Talent Intelligence products, reports, and presentations. Monitor external best practices and internal feedback to identify enhancement opportunities and support feasibility analysis for existing practices, models, and processes. Foster a culture of continuous learning within the TIA team.

A Bachelor's degree in Data Science, Statistics, Behavioral Science, Psychology, or a related field is required. Deep expertise in data engineering, visualization, and related functional domains is essential for generating and supporting insights and analytics. Proficiency in programming languages such as R and statistical software like SPSS is necessary. Experience with data visualization tools like Power BI is a must. A foundational understanding of behavioral science principles and their application to Talent Intelligence is needed. Strong analytical and problem-solving skills are vital for translating complex data into actionable insights. Excellent communication and presentation skills are required to convey complex information to non-technical stakeholders. Proven ability to work collaboratively in a team environment and manage multiple projects simultaneously is expected. A proactive and innovative mindset, with a passion for leveraging data to drive strategic business decisions, is highly valued.