Sr Analysts, Credit Risk Management

Kansas City International; Overland Park, Northern (KS, KY); Hybrid; USD 106,000 - 125,000; Full time

Job summary

T-Mobile USA, Inc. in Overland Park, KS seeks a Sr Analyst, Credit Risk Management to analyze data features and KPIs, deliver reporting, and publish dashboards.

You will design automated ETL processes and integrate data from Snowflake, SQL Server, Salesforce, and SharePoint, ensuring reporting integrity. The role requires advanced SQL/Python/SAS skills, Tableau/Power BI visuals, and experience with Application Fraud, Financial Services, Credit Underwriting, and Customer Verification data

Qualifications

• Master’s degree in Finance, Economics, Mathematics, Industrial Engineering, Statistics, Business Data Analytics, or related field, plus 3 years of relevant work experience.
• Bachelor’s degree in Finance, Economics, Mathematics, Industrial Engineering, Statistics, Business Data Analytics, or related field, plus 5 years of relevant work experience.
• Experience using SQL, Python, and SAS to manipulate large data, parse JSON and XML files, and create automated data extraction jobs from complex sources.
• Experience developing analyst reports and executive-level visualizations using Tableau and Power BI.
• Experience applying knowledge of Application Fraud, Financial Services, Credit Underwriting, and Customer Verification data sources to enhance KPIs.
• Experience extracting, loading, and transforming data from Snowflake, SQL Server, Salesforce for reporting and ad-hoc analysis.
• Experience improving query performance and data aggregation strategies for large datasets to enable fast reporting in Tableau and Power BI.

Responsibilities

• Analyze and understand data features and KPIs in collaboration with stakeholders.
• Collect, document, and deliver reporting aligned with requirements.
• Design, create, publish dashboards and scorecards to track KPIs.
• Build and maintain automated ETL procedures for accurate reporting.
• Integrate data from Snowflake, SQL Server, SharePoint, and Salesforce; automate extracts and refresh cycles.
• Provide leadership with insights on trends and drivers through detailed reports.
• Collaborate with stakeholders to gather requirements and support monthly performance reviews.
• Troubleshoot data issues, identify root causes, and implement safeguards.

Skills

SQL

Python

SAS

Tableau

Power BI

Snowflake

SQL Server

Salesforce

ETL

Education

Master’s degree in Finance, Economics, Mathematics, Industrial Engineering, Statistics, Business Data Analytics, or related field

Bachelor’s degree in Finance, Economics, Mathematics, Industrial Engineering, Statistics, Business Data Analytics, or related field

Tools

XML/JSON parsing

Job description

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.