- Salary
- $106k – $125k
- Location
- KS-Headquarters, Building 6360 OP, United States of America
- Type
- Full-time
- Experience
- 18+ years
- Visa
- Not sponsored
- Source
- Workday
Description
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 summaryT-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 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.
Additional:
Location: Overland Park, KS
This position is eligible for the employee referral program.
How to apply:
Create a candidate profile and apply to REQ371824.
OTHER: Work hours: 40 hours/week. Kansas Pay Range: $106,440.09 to $124,600.00/year.
The pay range above is the general base pay range for a successful candidate in the state listed. The successful candidate’s actual pay will be based on various factors, such as work location, qualifications, and experience.
At T-Mobile, employees in regular, non-temporary roles are eligible for an annual bonus or periodic sales incentive or bonus, based on their role. Most Corporate employees are eligible for a year-end bonus based on company and/or individual performance and which is set at a percentage of the employee’s eligible earnings in the prior year. Certain positions in Customer Care are eligible for monthly bonuses based on individual and/or team performance, while Retail and Business Sales roles are eligible for monthly or quarterly sales incentives. And since we are ALL owners, EVERY employee at T-Mobile is eligible for an Annual Stock Grant. For information about T-Mobile’s amazing benefits, check out https://careers.t-mobile.com/
At least 18 years of age
Legally authorized to work in the United States
Travel:
Travel Required (Yes/No): No
DOT Regulated:
DOT Regulated Position (Yes/No): No
Safety Sensitive Position (Yes/No): No
Candidate’s pay will be based on various factors, such as work location, qualifications, and experience. At T-Mobile, employees in regular, non-temporary roles are eligible for an annual bonus or periodic sales incentive or bonus, based on their role. Most Corporate employees are eligible for a year-end bonus based on company and/or individual performance and which is set at a percentage of the employee’s eligible earnings in the prior year. Certain positions in Customer Care are eligible for monthly bonuses based on individual and/or team performance.
At T-Mobile, our benefits exemplify the spirit of One Team, Together! A big part of how we care for one another is working to ensure our benefits evolve to meet the needs of our team members. Full and part-time employees have access to the same benefits when eligible. We cover all of the bases, offering medical, dental and vision insurance, a flexible spending account, 401(k), employee stock grants, employee stock purchase plan, paid time off and up to 12 paid holidays - which total about 4 weeks for new full-time employees and about 2.5 weeks for new part-time employees annually - paid parental and family leave, family building benefits, back-up care, enhanced family support, childcare subsidy, tuition assistance, college coaching, short- and long-term disability, voluntary AD&D coverage, voluntary accident coverage, voluntary life insurance, voluntary disability insurance, and voluntary long-term care insurance. We don't stop there - eligible employees can also receive mobile service & home internet discounts, pet insurance, and access to commuter and transit programs! To learn about T-Mobile’s amazing benefits, check out www.t-mobilebenefits.com.
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