Senior Credit Risk Analyst

T-Mobile USA, Inc. seeks Sr Analysts, Credit Risk Management in Overland Park, KS to work closely with stakeholders to analyze and understand relevant data features and KPls. Collect, document, and deliver reporting in line with requirements, leveraging reporting tools, applications, and complex queries. Design, create, and publish dashboards and scorecards to track and communicate team KPIs. Build and maintain automated ETL (Extract, Transform, Load) procedures to ensure efficiency, accuracy, and reporting integrity. Integrate data inputs from Snowflake, SQL Server, SharePoint, and Salesforce, automating extracts and refresh cycles, including parsing XML and JSON objects. Create and maintain operational documentation, including standard processes, requirements, and solution designs. Consolidate and analyze data from Application Fraud, Financial Services, Credit Underwriting, and Customer Verification systems; identify new data sources to improve business solutions. Provide leadership with insights on key trends and drivers through detailed reports and tailored visualizations. Develop and deliver standard and ad hoc analyses, dashboards, cubes, and data extracts aligned with business needs. Collaborate with stakeholders to gather requirements, align KPIs with objectives, and support monthly performance reviews. Serve as subject matter expert for complex research, analysis, and reporting. Manage support issues by resolving user-reported concerns, tracking progress, and implementing functional enhancements. Support analysis, testing, and implementation of reporting and system enhancements; troubleshoot anomalies, identify root causes, and apply safeguards. Monitor and communicate project risks, team activities, and project status to management and stakeholders. Build and maintain strong cross-functional relationships to ensure alignment, problem-solving, and successful business outcomes. Telecommuting is permitted, but applicant must work from the worksite location at least 3-4 days per week. No additional national or international travel is anticipated. Experience and education requirements: PRIMARY REQUIREMENTS: Master’s degree in Finance, Economics, Mathematics, Industrial Engineering, Statistics, Business Data Analytics, or a related field, or the foreign equivalent, and 3 years of relevant work experience. ALTERNATIVE REQUIREMENTS: Bachelor’s degree in Finance, Economics, Mathematics, Industrial Engineering, Statistics, Business Data Analytics, or a related field, or the foreign equivalent, and 5 years of relevant work experience. In addition, the following skills are required: (1) Experience using SQL, Python, and SAS, or other statistical/analytical programming languages to manipulate large amounts of data, parse JSON and XML files, and create automated data extraction jobs from complex sources; (2) Experience developing analyst reports and executive-level visualization using Tableau and PoverBI to support decision-making functions (3) Experience applying knowledge of Application Fraud, Financial Services, Credit Underwriting, and Customer Verification data sources to enhance KPIs; (4) Experience Extracting, loading, and transforming data from multiple sources (including Snowflake, SQL Server, Salesforce) to be used in creating reporting and ad-hoc analysis; this includes running the data, creating the dashboard, and presenting the dashboard end to end; and (5) Experience improving query performance and data aggregation strategies for large datasets to enable fast, reliable reporting in Tableau and Power BI. OTHER: Work hours: 40 hours/week. Kansas Pay Range: $106,440.09 to $124,600.00/year. EOE. #J-18808-Ljbffr