DART - Quant Analytics Analyst

Build your career in the Data, Analytics and Reporting Team, working within the world's most innovative bank that values creativity and excellence. As a Quant Analytics Analyst within the Data Analytics and Reporting Team (DART), you will be responsible for delivering Management Information System (MIS) solutions and supporting daily operations. Your key responsibilities will include supporting day-to-day operations/tasks related to a functional area or business partner, ensuring projects are completed according to established timelines, assembling data, building reports/dashboards, identifying risks and opportunities along with potential solutions to unlock value. To excel in this role, you should have professional experience in a combination of business and relevant MIS/technology/reporting experience. You should possess a certain level of understanding of business operations and procedures and the ability to connect them with business fundamentals. Additionally, you must have hands-on experience and knowledge of querying different databases and other source systems for data analysis required for reporting. Proficiency in creating reports/business intelligence solutions using tools such as Tableau, Cognos, Python, Alteryx, SAS, etc., is essential. Your general desire and aptitude to learn and adapt to new technologies, openness to different perspectives, and ability to anticipate and resolve customer and general issues with a sense of urgency are crucial for this role. Ideally, you should have prior experience in reporting and data analysis development with the ability to meet stringent deadlines. Proficiency in writing/understanding SQL (PL/SQL, T/SQL, PostgreSQL, or similar) and hands-on data analysis experience are also required. Preferred qualifications for this role include a Bachelor's degree or equivalent. Prior experience with call center technology data (Avaya CMS, IVR, Aspect, eWFM), Fraud Operations, CTO Operations, and other Consumer and Community Banking departments is desired. Experience in creating and deploying reports with a BI tool (such as Tableau, Microstrategy, Cognos, SSRS), sourcing and compiling data from a tool with ETL capabilities (such as SSIS, Alteryx, Trifacta, Abinitio, R, SAS), and knowledge of R/Python, Anaconda, HIVEQL, and exposure to Cloud Database will be advantageous for this role.,