Join EY and contribute to building a better working world. This role involves driving significant value for clients, our people, and society by fostering trust and facilitating growth through assurance and consulting services. Enabled by cutting-edge data and technology, our diverse global teams in over 150 countries tackle complex challenges by asking better questions and finding innovative answers across assurance, consulting, law, strategy, tax, and transactions.

Engage in diverse analytics projects, partnering with internal clients to understand needs and deliver tailored insights that propel business outcomes. You will contribute to project planning and execution, ensuring alignment with client objectives and timelines. Responsibilities include collecting, analyzing, and interpreting extensive datasets to uncover trends, patterns, and anomalies, informing strategic decisions at EY. Utilize advanced modeling techniques to extract actionable insights and predict future trends, optimizing decision-making processes. Develop and refine advanced analytics models, collaborate with team members to enhance modeling approaches, and continuously expand your knowledge of analytics methods and best practices. You will also gather and analyze external market data to enrich insights and present findings clearly using data visualization tools for effective stakeholder communication.

A strong foundation in data analysis techniques and methodologies is essential, enabling the interpretation of complex datasets and extraction of actionable insights. A solid understanding of statistical methods, including regression analysis and hypothesis testing, is crucial. Proficiency in advanced analytics modeling, such as machine learning and predictive analytics, is expected. You must be adept at data manipulation and programming languages like SQL, Python, or R, and experienced with data visualization tools like Tableau or Power BI. Excellent problem-solving abilities, a high degree of attention to detail, and strong verbal and written communication skills are vital for conveying analytical findings to diverse stakeholders. A commitment to staying abreast of industry trends and emerging technologies in data analytics is also required.