Data Analyst

Job Description:

Join our Remediation Analytics team, a specialized group dedicated to calculating refund amounts for card customers who have been inadvertently negatively impacted by errors. This role involves heavy data analytics and requires collaboration with business partners to understand the relevant business areas, issues, and pertinent data. The team works closely with Business Risk to determine action plans for each restitution, and analysts use these plans to calculate necessary refunds accurately.

Key Responsibilities:
• Work closely with management to execute analytical initiatives.
• Solve business problems using techniques such as segmentation, optimization, advanced analytics, and machine learning.
• Create reports and dashboards to monitor performance metrics and provide insights.
• Lead the development and implementation of advanced analytics, including customer segmentation, optimization, prescriptive analytics, and machine learning algorithms.
• Operate as a subject matter expert on statistical analysis, test and design of experiments, analysis methodology, modeling, and financial impact analysis.
• Collaborate with cross-functional partners to understand business needs, gather data, perform analysis, and deliver presentations of findings and recommendations to leadership.
• Establish and maintain effective performance tracking, identify improvement opportunities, propose and implement tests to enhance strategies.
• Manage multiple priorities, communicate business performance and project progress to management and business partners.
• Develop and automate reports, build and prototype dashboards to provide insights at scale.
• Ensure accuracy in the implementation of work products.
• Follow standard work processes and documentation requirements, recommending improvements to increase efficiency while maintaining quality.
• Continuously improve technical and leadership skills through training and development.

Qualifications:
• Strong SQL, SAS, and communication skills.
• Detail-oriented with a strong focus on accuracy.
• Experience in data analytics and working with business partners.
• Ability to lead and implement advanced analytics projects.
• Strong problem-solving skills and ability to manage multiple priorities.