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Sr Analysts, Credit Risk Mgmt

Job in Overland Park, Johnson County, Kansas, 66213, USA
Listing for: T-Mobile
Full Time position
Listed on 2026-09-12
Job specializations:
  • IT/Tech
    Data Analyst, Data Engineering
Salary/Wage Range or Industry Benchmark: 106440 - 124600 USD Yearly USD 106440.00 124600.00 YEAR
Job Description & How to Apply Below

At T-Mobile, we invest in YOU! Our Total Rewards Package ensures that employees get the same big love we give our customers. All team members receive a competitive base salary and compensation package - this is Total Rewards. Employees enjoy multiple wealth-building opportunities through our annual stock grant, employee stock purchase plan, 401(k), and access to free, year-round money coaches. That’s how we’re UNSTOPPABLE for our employees!

Position summary

T-Mobile is America’s supercharged Un-carrier, delivering an advanced 4G LTE and transformative nationwide 5G network that will offer reliable connectivity for all. Sr Analysts, Credit Risk Management located in Overland Park, KS will work closely with stakeholders to analyze and understand relevant data features and KPls.

Position duties and responsibilities include, but are not limited to:

  • 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.

Skill requirements:

  • (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.

Experience and education…

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