Join EY's Risk Management Services team as a Senior Associate in Data Analytics, contributing to advanced analytics, business intelligence, and technological enablement. This role focuses on monitoring risks in real-time, streamlining processes, and driving automation through cutting-edge BI tools and visualizations. You will be instrumental in ensuring robust data governance, privacy, and security across global operations. This position is ideal for a motivated professional seeking to grow in a dynamic, multicultural environment utilizing modern technologies.

As a Data Analyst within the Global Risk Management function, you will collaborate with international teams and internal stakeholders, potentially adjusting shift timings for effective communication. Your work will directly influence key performance indicators within Risk Management and support critical initiatives by analyzing data to optimize existing processes and develop innovative solutions. You will synthesize complex information into clear, impactful messages, leverage data analytics tools for in-depth analysis, and identify significant trends or key issues.

Build data insights that enhance understanding of results and risks, influencing key business strategies and decisions. Promote operational excellence by challenging current practices and providing feedback for improvement. Gather and share data with stakeholders, and develop analytical deliverables integral to strategic planning and RM priorities. Perform systems analysis and design for effective data relationships and integrations, and clearly communicate the purpose of analytical processes and solutions. Collaborate with cross-functional teams to understand business needs and provide essential analytical support, working effectively both independently and as part of a diverse team.

We are seeking a team player with a passion for innovation and perfection, capable of thriving in a fast-paced, innovative culture. Build enterprise insights and influence results using advanced data analytics, converging human intelligence with machine capabilities to understand and navigate risk. Create deep insights by understanding the business, the data, and the technology used for storage and analysis. Implement agile analytics for timely, interactive reporting that benefits the business overall.

Essentials include a Graduate/Postgraduate degree with 3-5 years of experience in a global corporate setting. A minimum of 1-2 years of experience in data analytics, data visualizations, and data scripting languages like SQL and Python is required. Proficiency with MS Fabric (Data Factory, Power BI with CoPilot, Data Activator, and OneLake) and database integrations is crucial. Expert-level English communication skills are essential for summarizing complex concepts for senior stakeholders. The ability to perform under pressure, accept critical feedback positively, and demonstrate excellent knowledge of the MS Office Suite (Word, Excel, PowerPoint, SharePoint) are key attributes. You must be able to work professionally with senior executives of a global brand company with minimal guidance.

Preferred qualifications include experience with XML, R, and SAS, knowledge of Data Security, and process mining experience. Creative visualization skills to interpret data innovatively, the ability to articulate the 'why' behind data stories, and a passion for digitization and automation are highly valued. Curiosity, a willingness to try new things, and the ability to thrive in a fast-paced environment are also sought after.