Data Analyst / Credit Risk and Transformation

Outstanding long-term contract opportunity! A well-known Financial Services Company is looking for a Senior Data Analyst / Credit Risk and Transformation in Charlotte, NC (Hybrid). Work with the brightest minds at one of the largest financial institutions in the world. This is long-term contract opportunity that includes a competitive benefit package! Our client has been around for over 150 years and is continuously innovating in today's digital age. If you want to work for a company that is not only a household name, but also truly cares about satisfying customers' financial needs and helping people succeed financially, apply today. Contract Duration: 12 months with strong likelihood of an extension or conversion to full time Required Skills & Experience • Proven stakeholder engagement skills and excellent communication and presentation skills. • Strong analytical skills with high attention to detail and accuracy. • Advanced SQL, Microsoft Excel, and Microsoft PowerPoint skills. • Independence — able to run with tasks and report back with insights • Experience juggling multiple workstreams and shifting priorities • Strong communication and leadership skills: • Must be able to lead meetings independently, able to report back risks or issues clearly and concisely • Financial Services experience is required What You Will Be Doing • Assist in end-to-end project management, demonstrating ownership of the entire process from beginning to end, while developing and implementing program and project level processes, procedures, and performance metrics. • Proven record of being able to manage multiple project efforts at the same time. • Provides clear and concise written and verbal communication for project status and escalates appropriately to ensure timely removal of roadblocks. • Ability to dissect technical problems, analyze data, and recommend potential solutions. • Strong experience with synthesizing input from multiple sources into business requirements, standards, and/or guidelines. • Lead or participate in moderately complex programs and initiatives for data quality, governance, and metadata activities. • Design and conduct moderately complex analysis to identify and remediate data quality, data integrity, process, and control gaps. Posted By: Natalie DeWitt